Alternatives to Mayhem

Sahi Pro is a suite automation tools for web, Web-services, Windows desktop and Java applications. Sahi Pro features include automatic waits, recorders and accessor spy, inbuilt frame and editor, parallel playback, automatic reporting, automatic logging, and reporting. Also, Sahi Pro can save 70% of the time and effort that is normally spent on test automation. Sahi Pro has been trusted by more than 400 companies around the world and is quickly becoming the preferred tool for test automation in the agile world.

You know that you could be testing more to catch bugs earlier, but QA testing can take a lot of time, effort and resources to do it right. MuukTest can get growing engineering teams up to 95% coverage of end-to-end tests in just 3 months. Our QA experts create, manage, maintain, and update E2E tests on the MuukTest Platform for your web, API, and mobile apps at record speed. We begin exploratory and negative tests after achieving 100% regression coverage within 8 weeks to uncover bugs and increase coverage. The time you spend on development is reduced by managing your testing frameworks, scripts, libraries and maintenance. We also proactively identify flaky tests and false test results to ensure the accuracy of your tests. Early and frequent testing allows you to detect errors in the early stages your development lifecycle. This reduces the burden of technical debt later on.

Testsigma is a low-code end-to-end test automation platform for Agile teams. It lets SDETs, manual testers, SMEs, and QAs collaboratively plan, develop, execute, analyze, debug, and report on their automated testing for websites, native Android and iOS apps, and APIs. It is available as a fully managed, cloud-based solution as well as a self-hosted instance that is open source (Testsigma Community Edition). The platform is built with Java, but the automated tests are code-agnostic. Through built-in NLP Grammar, teams can automate user actions in simple English, or generate airtight test scripts with the Test Recorder. With features like built-in visual testing, parametrized or data-driven testing, 2FA testing, and an AI that automatically fixes unstable elements and test steps, identifies and isolates regression-affected scripts, and provides suggestions to help you find and fix test failures, Testsigma can replace tens of different tools in the QA toolchain to enable teams to test easily, continuously, and collaboratively.

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

aqua, with its AI-powered technology, is a cutting-edge Test Management System built to streamline and boost QA processes. Perfect for both large and small businesses, especially in highly regulated sectors like Fintech, MedTech, and GovTech, aqua excels in: - Organizing and managing custom testing workflows - Handling various testing scales and complexities, - Managing comprehensive test data sets - Ensuring detailed insights through advanced reporting - Transitioning from manual to automated testing All of this becomes effortless with Aqua. Additionaly, it stands out with "Capture" - simplified 'single-click' bug tracking and reproducing solution. Seamlessly integrating with popular platforms like JIRA, Selenium, and Jenkins, and supported by REST API, aqua enhances QA efficiency, significantly reducing time spent on routine tasks and accelerating software release cycles by 200%. Take away your pain of testing! Try aqua today!

Testim is the fastest way to create resilient end-to-end test cases, whether they are codeless or coded. Testim allows you to create codeless, stable tests that leverage our AI. You also have the option to export your tests as code. Testim's JavaScript API is available to you and your IDE. This allows you to debug, modify, or refactor your tests. To keep them in sync, store them in your version control system. Run tests on every commit. Testim is used by millions of customers every month, including NetApp, Wix and JFrog. Find out more on our website.

Every minute, a multitude of autonomously generated tests is executed to identify vulnerabilities and facilitate swift remediation. Mayhem eliminates uncertainty surrounding untested code by autonomously creating test suites that yield practical outcomes. There is no requirement to recompile the code, as Mayhem operates seamlessly with dockerized images. Its self-learning machine learning technology continuously executes thousands of tests each second, searching for crashes and defects, allowing developers to concentrate on enhancing features. Background continuous testing detects new defects and expands code coverage effectively. For each defect identified, Mayhem provides a detailed reproduction and backtrace, prioritizing them according to your risk assessment. Users can view all results, organized and prioritized based on immediate needs for fixes. Mayhem integrates effortlessly into your existing development tools and build pipeline, granting developers access to actionable insights regardless of the programming language or tools utilized by the team. This adaptability ensures that teams can maintain their workflow without disruption while enhancing their code quality.

Our platform uses a variety of security techniques, including feedback-based fuzz testing and coverage-guided fuzz testing, in order to generate millions upon millions of test cases that trigger difficult-to-find bugs deep in your application. This white-box approach helps to prevent edge cases and speed up development. Advanced fuzzing engines produce inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Only uncover true vulnerabilities. You will need the stack trace and input to prove that you can reproduce errors reliably every time. AI white-box testing is based on data from all previous tests and can continuously learn the inner workings of your application. This allows you to trigger security-critical bugs with increasing precision.

ClusterFuzz is an advanced fuzzing platform designed to identify security vulnerabilities and stability problems within software applications. Utilized by Google for all its products, it also serves as the fuzzing backend for OSS-Fuzz. This infrastructure offers a plethora of features that facilitate the integration of fuzzing into the development lifecycle of software projects. It includes fully automated processes for bug filing, triage, and resolution across different issue trackers. Moreover, it supports various coverage-guided fuzzing engines to achieve optimal outcomes through techniques like ensemble fuzzing and diverse fuzzing strategies. The platform provides detailed statistics for evaluating fuzzer efficiency and tracking crash rates. Its user-friendly web interface simplifies management tasks and crash examinations, while it also accommodates multiple authentication providers via Firebase. Additionally, ClusterFuzz supports black-box fuzzing, minimizes test cases, and employs regression identification through bisection techniques, making it a comprehensive solution for software testing. The versatility and robustness of ClusterFuzz truly enhance the software development process.

ClusterFuzz serves as an expansive fuzzing framework designed to uncover security vulnerabilities and stability flaws in software applications. Employed by Google, it is utilized for testing all of its products and acts as the fuzzing engine for OSS-Fuzz. This infrastructure boasts a wide array of features that facilitate the seamless incorporation of fuzzing into the software development lifecycle. It offers fully automated processes for bug filing, triaging, and resolution across multiple issue tracking systems. The system supports a variety of coverage-guided fuzzing engines, optimizing results through ensemble fuzzing and diverse fuzzing methodologies. Additionally, it provides statistical insights for assessing fuzzer effectiveness and monitoring crash incidence rates. Users can navigate an intuitive web interface that simplifies the management of fuzzing activities and crash reviews. Furthermore, ClusterFuzz is compatible with various authentication systems via Firebase and includes capabilities for black-box fuzzing, minimizing test cases, and identifying regressions through bisection. In summary, this robust tool enhances software quality and security, making it invaluable for developers seeking to improve their applications.

Defensics Fuzz Testing is a robust and flexible automated black box fuzzer that helps organizations efficiently identify and address vulnerabilities in their software. This generational fuzzer employs a smart, focused methodology for negative testing, allowing users to create custom test cases through advanced file and protocol templates. Additionally, the software development kit (SDK) empowers proficient users to leverage the Defensics framework to craft their own unique test scenarios. Being a black box fuzzer means that Defensics operates without the need for source code, which adds to its accessibility. By utilizing Defensics, organizations can enhance the security of their cyber supply chain, ensuring that their software and devices are interoperable, resilient, high-quality, and secure prior to deployment in IT or laboratory settings. This versatile tool seamlessly integrates into various development workflows, including both traditional Software Development Life Cycle (SDL) and Continuous Integration (CI) environments. Furthermore, its API and data export functions facilitate smooth integration with other technologies, establishing it as a truly plug-and-play solution for fuzz testing. As a result, Defensics not only enhances security but also streamlines the overall software development process.

American fuzzy lop is a security-focused fuzzer that utilizes a unique form of compile-time instrumentation along with genetic algorithms to automatically generate effective test cases that can uncover new internal states within the targeted binary. This approach significantly enhances the functional coverage of the code being fuzzed. Additionally, the compact and synthesized test cases produced by the tool can serve as a valuable resource for initiating other, more demanding testing processes in the future. Unlike many other instrumented fuzzers, afl-fuzz is engineered for practicality, boasting a minimal performance overhead while employing a diverse array of effective fuzzing techniques and strategies for minimizing effort. It requires almost no setup and can effortlessly manage complicated, real-world scenarios, such as those found in common image parsing or file compression libraries. As an instrumentation-guided genetic fuzzer, it excels at generating complex file semantics applicable to a wide variety of challenging targets, making it a versatile choice for security testing. Its ability to adapt to different environments further enhances its appeal for developers seeking robust solutions.

TESSY streamlines the entire unit testing process, encompassing regression testing for embedded software developed in C/C++ across various target systems. This user-friendly testing tool is not only easy to install and operate, but it also effectively navigates you through the entire unit test procedure, starting from project initiation and extending through test design, execution, and result analysis to comprehensive reporting. Furthermore, TESSY meticulously handles all aspects of test organization and management, which includes managing requirements, measuring coverage, and ensuring traceability. Its project management capabilities enable users to create a tailored test project structure utilizing collections and folders, set environment variables, and configure preferred compilers or debuggers using the integrated Test Environment Editor. Additionally, coverage outcomes are immediately visible within the project structure, and test results from each run are archived, facilitating the retention of previous successful outcomes for future reporting. This ensures a streamlined approach to managing test cycles while enhancing efficiency and accuracy in embedded software testing.

Without access to source code, discover and certify security weaknesses in any product. Any protocol or hardware can be tested with beSTORM. This includes those used in IoT and process control, CANbus-compatible automotive and aerospace. Realtime fuzzing is possible without needing access to the source code. There are no cases to download. One platform, one GUI to use, with more than 250+ pre-built protocol testing modules, and the ability to create custom and proprietary ones. Identify security flaws before deployment. These are the ones that are most commonly discovered by outside actors after release. In your own testing center, certify vendor components and your applications. Software module self-learning and propriety testing. Scalability and customization for all business sizes. Automate the generation and delivery of near infinite attack vectors. Also, document any product failures. Record every pass/fail and manually engineer the exact command that caused each failure.

MyCrowd Studio serves as a dynamic platform for crowd testing, catering to both websites and mobile applications on demand. Initiate tests instantly and receive remarkably quick results. This platform simplifies the process of conducting exploratory tests for both types of digital products. Users can provide instructions, choose their desired devices, establish a budget, and start testing seamlessly. Whether you prefer a self-service model or a fully managed approach, exploratory bug hunts on MyCrowd Studio can yield results in just a few hours. Conduct regression testing, compatibility assessments, or user acceptance testing with the help of tailored Test Cases. It's easy to generate Test Cases using natural language, allowing MyCrowd's extensive tester community to efficiently tackle them at a low cost. Testing can be completed much faster than previously thought possible, as our testers have the capability to scale up and conduct parallel tests. For instance, through our “Express Test” option, we can accomplish an entire week’s worth of testing in merely three hours. This efficiency ensures that results are delivered on the same day, allowing your development team to return to their creative process sooner. Ultimately, quicker testing translates to a faster path to market, enhancing your competitive edge.

Notable Features User-friendly Interface: An intuitive design that makes the platform accessible to users of all skill levels. Performance Monitoring: Keep track of system performance with built-in monitoring tools. Security and Compliance: Ensure data protection and meet industry compliance standards. CI/CD Integration: Seamlessly integrate with continuous integration and deployment pipelines.

Go-fuzz serves as a coverage-guided fuzzing tool designed specifically for testing Go packages, making it particularly effective for those that handle intricate inputs, whether they are textual or binary in nature. This method of testing is crucial for strengthening systems that need to process data from potentially harmful sources, such as network interactions. Recently, go-fuzz has introduced initial support for fuzzing Go Modules, inviting users to report any issues they encounter with detailed descriptions. It generates random input data, which is often invalid, and the function must return a value of 1 to indicate that the fuzzer should elevate the priority of that input in future fuzzing attempts, provided that it should not be stored in the corpus, even if it uncovers new coverage; a return value of 0 signifies the opposite, while other values are reserved for future enhancements. The fuzz function is required to reside in a package that go-fuzz can recognize, meaning the code under test cannot be located within the main package, although fuzzing of internal packages is permitted. This structured approach ensures that the testing process remains efficient and focused on identifying vulnerabilities in the code.

Awesome Fuzzing serves as a comprehensive compilation of resources for those interested in the field of fuzzing, encompassing an array of materials such as books, both free and paid courses, videos, tools, tutorials, and vulnerable applications ideal for hands-on practice to enhance one's understanding of fuzzing and the early stages of exploit development, including root cause analysis. It features instructional videos focused on fuzzing methodologies, essential tools, and recommended practices, alongside conference presentations, tutorials, and blogs dedicated to the subject. Additionally, it includes software tools that facilitate fuzzing of applications, particularly those utilizing network protocols like HTTP, SSH, and SMTP. Users are encouraged to search for and select exploits linked to downloadable applications, where they can then recreate the exploits with their preferred fuzzer. The resource also encompasses a range of tests tailored for fuzzing engines, highlighting various well-known vulnerabilities and providing a corpus of diverse file formats to enable fuzzing across multiple targets found in the existing fuzzing literature. Ultimately, this collection aims to empower learners with the necessary knowledge and skills to effectively engage with fuzzing techniques and develop their expertise in security testing.

TestingWhiz is an intuitive and easy-to-use end-to-end solution for software, web and mobile apps that makes test automation simple. TestingWhiz is built on the robust FAST®, Automation Engine. This codeless architecture allows testers, engineers, and small teams of automation staff to create test cases quickly. TestingWhiz offers automated testing solutions for web UI, mobile and database as well as web services, web services, big data, regression and data-driven test automation.

LibFuzzer serves as an in-process, coverage-guided engine for evolutionary fuzzing. By being linked directly with the library under examination, it injects fuzzed inputs through a designated entry point, or target function, allowing it to monitor the code paths that are executed while creating variations of the input data to enhance code coverage. The coverage data is obtained through LLVM’s SanitizerCoverage instrumentation, ensuring that users have detailed insights into the testing process. Notably, LibFuzzer continues to receive support, with critical bugs addressed as they arise. To begin utilizing LibFuzzer with a library, one must first create a fuzz target—this function receives a byte array and interacts with the API being tested in a meaningful way. Importantly, this fuzz target operates independently of LibFuzzer, which facilitates its use alongside other fuzzing tools such as AFL or Radamsa, thereby providing versatility in testing strategies. Furthermore, the ability to leverage multiple fuzzing engines can lead to more robust testing outcomes and clearer insights into the library's vulnerabilities.

Sulley is a comprehensive fuzz testing framework and engine that incorporates various extensible components. In my view, it surpasses the functionality of most previously established fuzzing technologies, regardless of whether they are commercial or available in the public domain. The framework is designed to streamline not only the representation of data but also its transmission and instrumentation processes. As a fully automated fuzzing solution developed entirely in Python, Sulley operates without requiring human intervention. Beyond impressive capabilities in data generation, Sulley offers a range of essential features expected from a contemporary fuzzer. It meticulously monitors network activity and keeps detailed records for thorough analysis. Additionally, Sulley is equipped to instrument and evaluate the health of the target system, with the ability to revert to a stable state using various methods when necessary. It efficiently detects, tracks, and categorizes faults that arise during testing. Furthermore, Sulley has the capability to perform fuzzing in parallel, which dramatically enhances testing speed. It can also autonomously identify unique sequences of test cases that lead to faults, thereby improving the overall effectiveness of the testing process. This combination of features positions Sulley as a powerful tool for security testing and vulnerability detection.

Enhance your SpiraTest setup by incorporating support for automated regression testing. With our RemoteLaunch application, you can seamlessly connect to various automated testing tools, enabling SpiraTest to manage both manual and automated testing activities from a single platform. Automated test scripts serve as an essential tool for conducting regression testing on applications, ensuring that the introduction of new features or bug fixes does not disrupt existing functionality. While manual testing is generally more effective for evaluating new features and capabilities, automated tests provide a necessary supplement. To achieve comprehensive test coverage, it's crucial to execute the same automated tests across a wide range of platforms, browsers, devices, and environments. By utilizing RemoteLaunch® alongside SpiraTest® or SpiraTeam®, you gain the ability to oversee the automated testing process efficiently and maintain a comprehensive overview of both manual and automated testing efforts. This integrated approach not only enhances the quality of your software but also streamlines the overall testing process, making it more manageable and effective.

Usetrace is an automation platform designed for software testing that offers performance monitoring, load testing, and regression testing specifically tailored for small to medium-sized enterprises. Featuring a code-free editor, it assists web development teams in crafting durable test cases that work across various browsers. Furthermore, Usetrace empowers production teams to effortlessly oversee essential business operations, guaranteeing that web applications or websites operate effectively through its on-demand testing capabilities. Among its range of functionalities, Usetrace also includes test reporting, project management tools, collaboration features, responsive testing options, a traces editor, as well as synchronization and waiting features, providing a comprehensive solution for software quality assurance and team productivity.

Early is an innovative AI-powered solution that streamlines the creation and upkeep of unit tests, thereby improving code integrity and speeding up development workflows. It seamlessly integrates with Visual Studio Code (VSCode), empowering developers to generate reliable unit tests directly from their existing codebase, addressing a multitude of scenarios, including both standard and edge cases. This methodology not only enhances code coverage but also aids in detecting potential problems early in the software development lifecycle. Supporting languages such as TypeScript, JavaScript, and Python, Early works effectively with popular testing frameworks like Jest and Mocha. The tool provides users with an intuitive experience, enabling them to swiftly access and adjust generated tests to align with their precise needs. By automating the testing process, Early seeks to minimize the consequences of bugs, avert code regressions, and enhance development speed, ultimately resulting in the delivery of superior software products. Furthermore, its ability to quickly adapt to various programming environments ensures that developers can maintain high standards of quality across multiple projects.

The JCov open-source initiative is designed to collect quality metrics related to the development of test suites. By making JCov accessible, the project aims to enhance the verification of regression test executions within OpenJDK development. The primary goal of JCov is to ensure transparency regarding test coverage metrics. Promoting a standard coverage tool like JCov benefits OpenJDK developers by providing a code coverage solution that evolves in harmony with advancements in the Java language and VM. JCov is entirely implemented in Java and serves as a tool to assess and analyze dynamic code coverage for Java applications. It offers features that measure method, linear block, and branch coverage, while also identifying execution paths that remain uncovered. Additionally, JCov can annotate the program's source code with coverage data. From a testing standpoint, JCov is particularly valuable for identifying execution paths and understanding how different pieces of code are exercised during testing. This detailed insight helps developers enhance their testing strategies and improve overall code quality.

Automated Continuous Testing without the need for coding is made possible with Tricentis Tosca, recognized as the leading platform in this domain, which enhances the testing process through its script-free, no-code methodology for comprehensive test automation. Supporting a vast range of over 160 technologies and enterprise applications, Tosca ensures robust test automation suited for various use cases. Discover the advantages of Tricentis Tosca, which include: - Rapid feedback mechanisms tailored for Agile and DevOps environments - Significant reduction in regression testing durations to mere minutes - Enhanced reusability and maintenance of test assets - Clear visibility into potential business risks - Seamless integration and extension of existing testing resources such as HPE UFT, Selenium, and SoapUI, among others. By leveraging these capabilities, organizations can streamline their testing processes and improve overall quality assurance.

Testimony transforms the landscape of SAP regression testing by removing the burdensome costs, efforts, and complexities associated with creating and maintaining test scripts. While rapid innovation is essential, it must not compromise business continuity, making it challenging to gauge the effects of changes in critical processes dependent on intricate SAP systems. Testimony instills the necessary confidence in your teams to embrace change without the anxiety of unforeseen consequences. By utilizing its innovative technology, the platform sidesteps the traditional hurdles and costs tied to regression testing through the elimination of script creation and upkeep. Robotic Test Automation stands out as a comprehensive solution that monitors real-time user interactions within the SAP production environment, leveraging this information to automatically assess the consequences of modifications. This cutting-edge technology significantly diminishes the demand for labor-intensive tasks such as business process analysis, script development, and management of testing data. Ultimately, Testimony not only simplifies the testing process but also empowers organizations to innovate more swiftly and effectively.

Upon request, we can offer a tailored service that meets specific needs. For instance, if the client wishes to utilize their QA team for a test run, we can develop the necessary test source files and provide licenses for the essential WAPT Pro components. Furthermore, we are available to assist with analyzing the results once the testing has been finalized. Generally, one-time testing projects are wrapped up within a week, and options for ongoing arrangements are also offered. We can aid in setting up a testing environment for clients focused on regression testing. However, the task of developing tests can be intricate, as each emulated session needs to be both distinctive and reliable. In cases where the website includes dynamic content, no testing tool can completely automate the process of test design. Often, implementing tests may involve extensive research into the client-server communication framework. While an effective testing tool can generate comprehensive reports featuring data and charts that illustrate various performance metrics, the journey to achieve accurate testing remains a nuanced endeavor. This complexity underscores the need for a thoughtful approach to product evaluation.

Testing provides reassurance and confidence in the functionality of systems. There are numerous methods available for conducting tests, but our emphasis lies on regression testing. This approach enables you to assess your changes prior to their application, ensuring that the interface behaves consistently compared to previous versions. When adjustments are made to your interfaces for a specific scenario, it can inadvertently impact other components, causing them to malfunction. Various strategies exist for developing test cases, and when it comes to SAP Integration, the most effective method is to retrieve messages from the production environment to establish a reliable baseline. The Figaf Testing Tool, which is part of the Figaf DevOps Tool suite, can also be purchased independently. Given the complexity inherent in SAP Integrations, it is crucial to implement a robust testing procedure. While some logic may be straightforward, others may involve intricate rules governing the handling of different lines. Typically, a standard test case focuses on a single item; however, in practice, customers often place multifaceted orders that require comprehensive testing strategies. This complexity highlights the need for thorough testing to ensure all aspects of the system function as intended.

testRigor, a feature specification engine, allows anyone on your team build, maintain, and understand tests written in plain English. Our Chrome plugin speeds up test creation. Our AI-powered system dramatically decreases test maintenance and generates tests that are consistent with your end users' behavior.

Qualisense Test.Predictor represents a groundbreaking AI-driven solution that significantly enhances risk-based testing methodologies. By harnessing the power of AI and automation, it accelerates the release process, reduces expenses, and reallocates resources to prioritize essential business needs. With a remarkable increase in release velocity exceeding six times, businesses can substantially enhance their time to market. The philosophy of achieving more with less is not merely a catchphrase for Test.Predictor; it embodies a transformative operational approach. These state-of-the-art AI functionalities are revolutionizing software testing practices and redefining the landscape of regression testing. Test.Predictor provides business users and data analysts with the tools to independently develop predictive models, facilitating greater autonomy in testing processes. In essence, it stands as the premier solution for all testing requirements, enabling organizations to optimize efficiency and effectiveness in their software development lifecycle. By integrating such innovative technology, companies can ensure they remain competitive in a fast-paced market.

Original Software simplifies test automation, capture, and management across your ERP and all integrated applications, working seamlessly right out of the box. With ready-made test case templates and a completely code-free design, business users can run tests effortlessly—no technical skills required. Say goodbye to outdated methods like spreadsheets and screenshots. Our solution boosts efficiency from day one, typically reducing testing time by 50%. When you're ready to take it further, AI-powered test automation helps you build a fully automated regression suite—without needing to code. On-premise, cloud, custom-built, or green screen applications? No problem. Original Software supports testing across any system, ensuring smooth, reliable, and efficient quality assurance.

Elevate your enterprise software testing with Tenjin’s advanced automated testing suite, which utilizes a groundbreaking algorithm that effortlessly adapts to the software’s user interface and automatically updates to reflect any modifications, eliminating the need for manual intervention. By implementing Tenjin, you can enjoy substantial time, cost, and resource savings. Tenjin Connect enhances testing efficiency at the API level, allowing for more detailed and expedited testing cycles within a multi-system framework; this is especially beneficial for early test integration in today’s agile landscape. In the contemporary banking sector, interconnected applications via APIs are increasingly common, leading to a merging of internal and customer-facing systems. Testing these platforms requires seamless transitions between APIs and graphical user interfaces. With thorough regression testing in integrated settings, you can achieve a harmonious balance between agility and careful oversight, ensuring your systems remain robust and efficient as they evolve. It's imperative to stay ahead in this dynamic environment to meet the ever-changing demands of the industry.

Easily design dependable tests by simply documenting your user experience on the web application, without needing any coding expertise. Ensure that essential application processes function properly by executing and confirming tests according to a set schedule. Say goodbye to repetitive testing of the same features after updates to the app. Utilize BugBug to streamline your manual regression tests and eliminate the hassle of managing IT infrastructure. By leveraging BugBug's cloud capabilities, you can significantly reduce DevOps expenses, regardless of your team's level of experience. Collaborating to create tests within a team becomes straightforward, enjoyable, and impactful with BugBug. Enhance trust and boost user satisfaction by significantly minimizing the likelihood of bugs with every release. Capture your actions in the browser to create tests, and edit and execute them with confidence that they will perform as expected! Our reliable record-and-playback tool is designed to enhance your workflow, genuinely improving the testing process rather than just promoting it. Embrace a new era of testing efficiency and effectiveness with BugBug, where innovation meets user-centric solutions.

Codeless test automation that truly delivers is now within reach. You can efficiently automate functional and end-to-end tests for any browser-based application on a large scale in the cloud. Say goodbye to tedious test maintenance with innovative self-healing features, enabling you to accelerate your release cycles. With Natural Language Programming, you can create tests quickly using simple English, all while integrating AI into your testing processes—ensuring a significant reduction in maintenance costs through self-healing capabilities. When you add API and Snapshot testing into the mix, you achieve comprehensive end-to-end and visual regression testing. Virtuoso has ingeniously merged Natural Language Programming, Machine Learning, and Robotic Process Automation into a single platform, revolutionizing test hyperautomation. Essentially, we’ve harnessed all the latest technological innovations to empower you to test more efficiently and swiftly. Liberate your team's potential, and enhance both your speed and scalability. Now, you can effortlessly write tests for even the most dynamic applications using plain English, making the entire process more accessible than ever before. Additionally, this approach allows for a seamless integration of various testing methodologies, ensuring that you remain at the forefront of quality assurance.

Consolidate all your test cases in a single platform using Zoho QEngine, which offers a blend of no-code, low-code, and conventional coding options. You can create, develop, manage, and execute automated functional tests while fostering collaboration within your team. This comprehensive test automation software equips you with all the necessary tools to effectively oversee your entire testing lifecycle. Zoho QEngine is designed for testing web applications across various browsers, enabling you to build and manage automated test cases for web applications up to ten times faster with minimal coding or no-code requirements. The simplicity of automated testing for web applications is enhanced with Zoho QEngine. Additionally, it provides essential features like mobile emulators, simulators, Appium compatibility, and access to real devices, ensuring that your mobile test cases adhere to quality benchmarks. Furthermore, you can test, validate, manage, and automate all types of API requests and responses through Zoho QEngine's user-friendly cloud-based API testing software. With its interoperability capabilities, Zoho QEngine delivers the comprehensive functionalities you need in a robust testing tool, making it an indispensable asset for developers and testers alike.

ProdPerfect is the first fully-managed, autonomous, end-to–end (E2E), regression testing solution that continually builds, maintains, evolves E2E test sets via data-driven, machine–led analysis of user behavior data. It is the only fully managed solution that covers critical gaps in test coverage, eliminates lengthy test suite runtimes, and eliminates costly bugs in production. Additionally, it removes the QA burden which consumes large engineering resources.

The Avo Quality Automation System sets the benchmark for effective, intelligent, and resilient automation, empowering individuals to move away from tedious manual tasks and focus on what truly excites them. Avo Assure, which is both highly intelligent and adaptable across various applications, elevates quality assurance beyond the capabilities of existing software test automation solutions without the need for coding. It allows for the instant auto-generation of test automation for web, mobile, desktop, ERP applications, and mainframes, all without any coding requirements. With access to over 1400 prebuilt keywords, users can swiftly and effortlessly construct test cases tailored to their needs. The system also introduces a unique mind map feature, enabling users to visualize their test landscape clearly. Additionally, it facilitates quick updates and upgrades to test scenarios, which enhances coverage while minimizing maintenance efforts. As applications evolve over time, Avo Assure helps in eliminating errors that may arise from changes and updates. With its advanced features, Avo Assure redefines quality assurance, making it a must-have tool in the realm of test automation. This innovative approach not only streamlines the testing process but also significantly boosts productivity and efficiency in quality assurance practices.

Peach is an advanced SmartFuzzer that excels in both generation and mutation-based fuzzing techniques. It necessitates the creation of Peach Pit files, which outline the data's structure, type information, and interrelations for effective fuzzing. In addition, Peach provides customizable configurations for a fuzzing session, such as selecting a data transport (publisher) and logging interface. Since its inception in 2004, Peach has undergone continuous development and is currently in its third major iteration. Fuzzing remains one of the quickest methods to uncover security vulnerabilities and identify bugs in software. By utilizing Peach for hardware fuzzing, students will gain insights into the essential principles of device fuzzing. Designed to address any data consumer, Peach can be applied to servers as well as embedded devices. A wide array of users, including researchers, companies, and government agencies, leverage Peach to detect hardware vulnerabilities. This course will specifically concentrate on employing Peach to target embedded devices while also gathering valuable information in case of a device crash, thus enhancing the understanding of fuzzing techniques in practical scenarios.

OSS-Fuzz provides ongoing fuzz testing for open source applications, a method renowned for identifying programming flaws. Such flaws, including buffer overflow vulnerabilities, can pose significant security risks. Through the implementation of guided in-process fuzzing on Chrome components, Google has discovered thousands of security weaknesses and stability issues, and now aims to extend this beneficial service to the open source community. The primary objective of OSS-Fuzz is to enhance the security and stability of frequently used open source software by integrating advanced fuzzing methodologies with a scalable and distributed framework. For projects that are ineligible for OSS-Fuzz, there are alternatives available, such as running personal instances of ClusterFuzz or ClusterFuzzLite. At present, OSS-Fuzz is compatible with languages including C/C++, Rust, Go, Python, and Java/JVM, with the possibility of supporting additional languages that are compatible with LLVM. Furthermore, OSS-Fuzz facilitates fuzzing for both x86_64 and i386 architecture builds, ensuring a broad range of applications can benefit from this innovative testing approach. With this initiative, we hope to build a safer software ecosystem for all users.

Echidna is a Haskell-based tool created for fuzzing and property-based testing of Ethereum smart contracts. It employs advanced grammar-driven fuzzing strategies that leverage a contract's ABI to challenge user-defined predicates or Solidity assertions. Designed with a focus on modularity, Echidna allows for easy extensions to incorporate new mutations or to target specific contracts under particular conditions. The tool generates inputs that are specifically adapted to your existing codebase, and it offers optional features for corpus collection, mutation, and coverage guidance to uncover more elusive bugs. It utilizes Slither to extract critical information prior to launching the fuzzing process, ensuring a more effective campaign. With source code integration, Echidna can pinpoint which lines of code are exercised during testing, and it provides an interactive terminal UI along with text-only or JSON output formats. Additionally, it includes automatic test case minimization for efficient triage and integrates seamlessly into the development workflow. The tool also reports maximum gas usage during fuzzing activities and supports complex contract initialization through Etheno and Truffle, enhancing its usability for developers. Ultimately, Echidna stands out as a robust solution for ensuring the reliability and security of Ethereum smart contracts.

Devzery, an AI-powered platform, revolutionizes API regression tests with codeless automation. It also integrates seamlessly CI/CD. It allows teams to create, manage, and execute tests with minimal manual effort, while increasing coverage. Devzery supports multiple programming languages and offers intelligent change detection, automated update of test cases, and detailed reporting. It provides comprehensive API validation including performance and security tests, helping teams to deliver robust, high quality software faster. Devzery is perfect for startups and enterprise, as it streamlines QA and minimizes risks. It also accelerates development timelines.

TestMatch serves as a tool for comparing transaction content, enabling automated testing of mainframe OLTP applications, which are terminal-based systems for processing online transactions. It is particularly useful for aiding the transition of legacy applications to contemporary open systems, or it can be utilized to create an automated regression testing suite for existing applications. All user interactions are centrally recorded on an IBM or Siemens mainframe without the need for installing any client-side or server-side components of Astadia's software. This network-level recording method ensures compatibility across various development technologies. TestMatch effectively visualizes test scenarios and sessions, showcasing terminal content along with key attributes typical of terminal-based applications, such as protected/editable settings, MDT bits, reverse-video effects, and color schemes. Furthermore, TestMatch can replay these recorded scenarios, which can either be directed at the migrated application for testing purposes or the original application to verify functionality through regression testing. This versatility makes TestMatch an invaluable asset for organizations looking to streamline their testing processes while ensuring reliability during application transitions.

Squish has become the preferred solution for thousands of businesses around the globe, enabling them to streamline the functional regression and system testing of their graphical user interfaces (GUIs) and human-machine interfaces (HMIs). This versatile GUI testing tool is entirely cross-platform and offers automated cross-browser testing for Web and HTML5 applications across desktop, mobile, and embedded systems. Additionally, Squish provides automated testing capabilities for native macOS applications, with the added benefit of supporting embedded Webkit content. With its comprehensive features, Squish empowers organizations to enhance the quality and reliability of their software products efficiently.

Functional test automation for web and mobile applications. Rich-client, enterprise, and rich-client applications. Collaborative testing design allows business and technical stakeholders work together to ensure that all aspects of the test coverage are covered. You can ensure quality and speed up testing on all devices and platforms, including web, mobile, rich client, enterprise, and rich-client. Utilize existing Selenium scripts to record additional steps in Silk Test desktop and mobile browsers. To provide quick feedback on daily check ins, integrate functional testing into the CI/CD pipeline. Parallel and dockerized testing are both possible. Create a single script that can be used to test against IE and Edge, Firefox, Chrome and Safari. With embedded back-end virtualization, you can create realistic simulations of service behavior and save time. Collaboration in test design allows business and technical stakeholders work together to ensure coverage for all customer usage patterns.

The Fuzzbuzz workflow closely resembles other continuous integration and continuous delivery (CI/CD) testing processes, but it stands out because it necessitates the concurrent execution of multiple jobs, adding several additional steps. As a dedicated fuzz testing platform, Fuzzbuzz simplifies the integration of fuzz tests into developers' code, enabling them to execute these tests within their CI/CD pipelines, which is essential for identifying critical bugs and security vulnerabilities before they reach production. Fuzzbuzz seamlessly blends into your existing environment, providing support from the terminal through to CI/CD. You can easily write a fuzz test using your preferred IDE, terminal, or build tools, and once you push your code changes to CI/CD, Fuzzbuzz will automatically initiate the fuzz testing process on the latest updates. You'll receive notifications about any bugs detected through various channels like Slack, GitHub, or email, ensuring you're always informed. Additionally, as new changes are introduced, regressions are automatically tested and compared against previous results, allowing for continuous monitoring of code stability. The moment a change is detected, Fuzzbuzz builds and instruments your code, ensuring that your development process remains efficient and responsive. This proactive approach helps maintain high-quality code and reduces the risk of deploying flawed software.

MarathonITE simplifies the process of developing GUI tests by allowing users to swiftly automate both functional and regression testing. Its architecture is open and adaptable, drawing on established open-source technologies such as Marathon, Ruby, and Selenium, which fosters ease in creating, maintaining, and executing automated test scripts. The tool offers substantial return on investment for testing teams, making it a valuable asset in the testing landscape. Among its notable features are intelligent recording and playback, a customizable object map, and bindings for Selenium/WebDriver tailored for Java™ applications. Specifically designed for automating tests of applications built with Java/Swing™, Java/Fx™, and web technologies, MarathonITE enhances the testing experience by providing robust API interactions through its Selenium/WebDriver bindings for Java runtime. Effective test automation merges the realms of software testing with development practices, underscoring the importance of both disciplines in achieving high-quality software. Consequently, MarathonITE stands out as a comprehensive solution for organizations looking to streamline their testing processes.

Fuzz testing, commonly referred to as fuzzing, is a technique used in software testing that aims to discover implementation errors by injecting malformed or semi-malformed data in an automated way. For example, consider a scenario involving an integer variable within a program that captures a user's selection among three questions; the user's choice can be represented by the integers 0, 1, or 2, resulting in three distinct cases. Since integers are typically stored as fixed-size variables, a failure to implement the default switch case securely could lead to program crashes and various traditional security vulnerabilities. Fuzzing serves as an automated method for uncovering software implementation issues, enabling the identification of bugs when they occur. A fuzzer is a specialized tool designed to automatically inject semi-random data into the program stack, aiding in the detection of anomalies. The process of generating this data involves the use of generators, while the identification of vulnerabilities often depends on debugging tools that can analyze the program's behavior under the influence of the injected data. These generators typically utilize a mixture of established static fuzzing vectors to enhance the testing process, ultimately contributing to more robust software development practices.

Cerberus Testing automates continuous testing at scale with low-code software. The solution will eliminate the need to implement an internal testing framework for years. The product allows you to iterate quickly through your testing lifecycle: from test repository, execution, and reporting. The solution allows teams to collaborate from the use-cases creation to the execution of test cases on a variety of browsers and devices. To execute your test at scale, you can use your own or external robots infrastructure. This allows you to concentrate on your business value. It supports many integrations to speed up implementation, such as Bitbucket and Slack. It is open-source and maintained by many digital and retail players, including La Redoute and Decathlon, Adeo and Norauto.

Reflect simplifies the creation of regression tests and ensures they remain easy to manage. Teams experiencing rapid growth leverage Reflect to identify bugs without hindering their development speed. The process of writing end-to-end tests should be straightforward and not burdensome. Rather than relying on a code editor to construct tests, Reflect allows users to interact directly with the browser as the testing medium. Initiating a test involves simply entering a URL and navigating through your web application. Reflect captures your actions and converts them into a test that can be executed repeatedly whenever necessary, all without requiring any installation. In contrast to other automation tools, which often fail to identify visual regressions—issues in the user interface that do not affect the functionality of the site—Reflect operates at a higher level that mirrors user interactions, enabling comprehensive testing of the visual elements. This innovative approach not only enhances efficiency but also significantly improves the overall testing experience.