Alternatives to Parasoft dotTEST

TrustInSoft commercializes a source code analyzer called TrustInSoft Analyzer, which analyzes C and C++ code and mathematically guarantees the absence of defects, immunity of software components to the most common security flaws, and compliance with a specification. The technology is recognized by U.S. federal agency the National Institute of Standards and Technology (NIST), and was the first in the world to meet NIST’s SATE V Ockham Criteria for high quality software. The key differentiator for TrustInSoft Analyzer is its use of mathematical approaches called formal methods, which allow for an exhaustive analysis to find all the vulnerabilities or runtime errors and only raises true alarms. Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure. The experts at TrustInSoft can also assist clients in training, support and additional services.

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.

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.

Security Solutions for Your DevOps Process Automate scanning your code to find and fix vulnerabilities. Kiuwan Code Security is compliant with the strictest security standards, such OWASP or CWE. It integrates with top DevOps tools and covers all important languages. Static application security testing and source analysis are both effective, and affordable solutions for all sizes of teams. Kiuwan provides a wide range of essential functionality that can be integrated into your internal development infrastructure. Quick vulnerability detection: Simple and quick setup. You can scan your area and receive results in minutes. DevOps Approach to Code Security: Integrate Kiuwan into your Ci/CD/DevOps Pipeline to automate your security process. Flexible Licensing Options. There are many options. One-time scans and continuous scanning. Kiuwan also offers On-Premise or Saas models.

The LDRA tool Suite is LDRA’s flagship platform. It provides open and extensible solutions to build quality into software, from requirements through deployment. The tool suite provides a continuum of capabilities including requirements traceability, test management, coding standards compliance, code quality review, code coverage analysis, data-flow and control-flow analysis, unit/integration/target testing, and certification and regulatory support. There are many configurations of the core components of this tool suite that can be used to meet common software development needs. You can tailor the solution to any project with a comprehensive range of add-on capabilities. TBvision and LDRA Testbed provide the foundational static/dynamic analysis engine. They also offer a visualization engine that allows users to easily understand and navigate standards compliance, quality metrics and code coverage analyses.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

Coco®, a tool for multi-language code coverage, is available. Automated source code instrumentation can be used to measure test coverage for statements, branches, and conditions. When a test suite is run against an instrumented application, data can be collected that can be later analyzed. This analysis can be used for understanding how much of the source code was touched by tests, which additional test suites need to be written, and how the test coverage has changed over time. Identify dead or untested code, redundant tests, and untested code. Identify the impact of a patch and code coverage. Coco supports branch coverage, statement coverage, MC/DC, and other levels. Linux, Windows, RTOS, and other platforms. GCC, Visual Studio and embedded compilers are all available. You can choose from text, HTML, XML and Cobertura report formats. Coco can also integrate with other build, test, and CI frameworks such as JUnit Jenkins, SonarQube, and SonarQube.

Helix QAC has been the trusted static analysis tool for C and C++ programming languages for over 30 years. Helix QAC is the preferred static code analyzer for safety-critical industries with strict compliance requirements. This includes verifying compliance with coding standards such as MISRA or AUTOSAR and functional safety standards such as ISO 26262. Helix QAC has been certified by TUV-SUD for functional safety compliance, including IEC 61508, ISO 26262, EN 50880, IEC 60880, IEC 62304. TickIT plus Foundation Level, which is one of the most widely adopted standards to ensure that your requirements are not only met but exceeded as well. Prioritize coding issues according to the severity of risk. Helix QAC allows you to identify the most critical defects by using suppressions, filters, and baselines.

You can instantly try your first CodeRush feature and discover how powerful it is. Refactoring for C# and Visual Basic. The fastest test.NET runner, next-generation debugging and the most efficient coding experience. You can quickly find symbols and files within your solution and navigate to code constructions relevant to the current context. CodeRush also includes Quick Navigation and Quick File Navigation, which make it quick and easy to locate symbols and open files. Analyze Code Coverage allows you to see which parts of your solution are covered and pinpoint the risky parts. The Code Coverage window displays the percentage of statements that have been covered by unit testing for each namespace, type and member of your solution.

This is the easiest way to unit-test. You can write tests without having to modify your code. Even legacy code. Methods, private methods, nonvirtual methods and out parameters, as well as members and fields. Developers around the globe can use our professional edition for no cost. You can also purchase a paid support package. You can improve your code integrity and produce quality code. You can create entire object models by using one statement. Mock statics, private constructors and events. Our suggestion feature generates test suggestions that are suitable for your code. Our smart runner will run your impact tests and give you instant feedback. While you code, our coverage feature displays your code coverage.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Appvance IQ (AIQ), delivers transformative productivity gains and lower costs for both test creation and execution. It offers both AI-driven (fully automated tests) and 3rd-generation codeless scripting for test creation. These scripts are then executed using data-driven functional and performance, app-pen, and API testing -- both for web and mobile apps. AIQ's self healing technology allows you to cover all code with only 10% of the effort required by traditional testing systems. AIQ detects important bugs automatically and with minimal effort. No programming, scripting, logs, or recording are required. AIQ can be easily integrated with your existing DevOps tools, processes, and tools.

SonarCloud automatically analyzes and decorates pull request branches to maximize your throughput. To prevent undefined behavior from affecting end-users, catch tricky bugs. Security Hotspots will help you identify and fix vulnerabilities that could compromise your app. It takes just a few mouse clicks to get your code up and running. Instant access to the most recent features and enhancements. Project dashboards keep stakeholders and teams informed about code quality and releasability. Show your communities that you care about awesome by displaying project badges. Your entire stack should be concerned about code quality and security. We cover 24 languages, including C++, Java, Python, and many other. Transparency is a good thing and the trend is growing. Join the fun! Open-source projects are completely free!

All the Python tools in one location. PyCharm will take care of the routine, saving you time. To make the most of PyCharm's productivity features, you should focus on the important things. PyCharm has all the information you need about your code. PyCharm can help you with intelligent code completion, quick error checking and quick fixes, project navigation, and many other things. The IDE allows you to write clean and maintainable code and helps you maintain control of quality with PEP8 tests, testing assistance and smart refactorings. PyCharm was created by programmers for programmers to give you all the tools you need to create Python code. PyCharm offers smart code completion, code inspections and quick-fixes. It also includes automated code refactorings.

DotCover is a.NET code coverage and unit testing tool that works in Visual Studio and JetBrains Rider. It allows you to see code coverage and helps you to know how much code is covered by unit tests. dotCover calculates and reports the statement-level code coverage for applications that target.NET Framework,.NET Core or Mono for Unity. DotCover is a plug in to Visual Studio and JetBrains Rider. It allows you to analyze and visualize code coverage without ever leaving the code editor. You can run unit tests and analyze coverage results directly in the IDEs. There are also support for new icons, color themes, and menus. DotCover is packaged with ReSharper, a JetBrains tool that allows you to run unit tests. dotCover supports continuous test, which is a modern unit-testing workflow that allows dotCover to determine on-the-fly which unit testers are affected by code changes.

CppDepend, a comprehensive code-analysis tool for C++ and C languages, is designed to help developers maintain complex code bases. It has a wide range of features to ensure code quality. This includes static code analysis which is crucial in identifying potential issues such as memory leaks and inefficient algorithms. CppDepend's support for widely-recognized coding standards such as Misra, CWE CERT and Autosar is a key feature. These standards are essential in many industries, especially when developing safe and reliable software for automotive, embedded and high-reliability system. CppDepend ensures that code is compliant with industry-specific safety requirements and reliability standards by aligning it with these standards. The tool's compatibility with continuous integration workflows and integration with popular development environments makes it a valuable asset in agile development.

NCrunch monitors your code coverage in real time, and displays this in markers right next to your code. This makes it easy for you to see where your coverage is lacking or high. NCrunch was built with complex large-scale projects in mind. The last 12 years have been spent optimizing and scaling NCrunch to meet the requirements of real-world systems with millions of lines and thousands of tests. NCrunch keeps track of all test data and provides you with the most relevant feedback as quickly as possible. The tests that have been affected by your code changes are prioritized for execution using high-performance IL-based change mapping. NCrunch can transfer build and test work to other computers. You can farm tasks to connected machines or scale up to the cloud. Developers can share processing resources, allowing teams to pool their testing resources.

OneTest Embedded makes it easy to automate the creation and deployment component test harnesses. OneTest Embedded allows you to profile memory and performance, analyze code coverage, and visualize program execution behavior with just one click. OneTest Embedded also helps you be more proactive in debugging and assists in fixing any broken code. It allows for a virtual cycle to test generation and execution, as well as reviewing, reviewing, and testing improvement to quickly achieve full coverage. It takes just one click to build, execute on the target and generate reports. This helps to prevent program crashes and performance issues. It can also be modified to work with embedded software memory management methods. This provides insight on thread execution and switching, which allows for a deeper understanding of the behavior of the system being tested.

Static analysis is a method that allows you to identify potential problems in your code. It involves analyzing the source code level. C-STAT contains nearly 700 checks. Some of these checks are compliant with MISRA C.2012, MISRA C++.2008, and MISRA C.2004. There are more than 250 checks that map to CWE issues. It also checks for compliance with CERT C, the coding standard for secure coding. C-STAT runs quickly and provides detailed and comprehensive error information. C-STAT is easy to use and doesn't require any complicated tool setup. C-STAT is fully integrated in the IAR Embedded Workbench IDE. This allows you to easily ensure code quality in your daily programming flow. It is available for all IAR Embedded Workbench products. Static analysis identifies potential problems in code by performing an analysis at the source code level. The analysis not only improves code quality but also aligns with industry coding standards.

Klocwork static code analysis for C, C++ and C#, JavaScript, and the SAST tool for JavaScript, helps to identify software security, reliability, quality, and compliance issues. Klocwork is designed for enterprise DevOps/DevSecOps. It scales to any project, integrates with large complex environments and a wide variety of developer tools. It also provides control, collaboration and reporting for the entire enterprise. Klocwork is the most popular static analyzer, allowing developers to work faster while still maintaining security and quality. Klocwork static application security tests (SASTs) are available for DevOps (DevSecOps). Our security standards help to identify security flaws and allow you to fix them quickly. They also prove compliance with internationally recognized security standards. Klocwork integrates easily with CI/CD tools and containers, as well as cloud services and machine provisioning, making automated security testing simple.

Advanced fuzzing solution that combines guided and symbolic execution. This technology is patented by CMU. Mayhem, an advanced fuzz testing solution, dramatically reduces manual testing with autonomous defect detection. You can deliver reliable, secure software in a shorter timeframe, at a lower cost, and with less effort. Mayhem's unique advantage lies in its ability to continuously acquire intelligence about its targets. Mayhem's knowledge increases and it expands its analysis. This allows it to maximize its code coverage. All vulnerabilities reported are exploitable and confirmed risks. Mayhem provides detailed system-level information such as backtraces, memory logs and register state to assist in remediation efforts. This helps speed up issue diagnosis and fixes. Mayhem uses target feedback to automatically generate test cases -- no need for manual testing. Mayhem provides access to all its test cases, making regression testing easy and continuous.

The JCov open source project is used for gathering quality metrics related to the production of test suites. JCov will be open to allow the verification of regression tests being executed in OpenJDK. JCov's main purpose is transparency in test coverage metrics. OpenJDK developers will have the opportunity to use a code-coverage tool that is in 'lock step with Java language and VM development. This is why we promote standard coverage based JCov. JCov, a Java implementation of a code-coverage tool, provides a way to measure and analyze dynamic Java program code coverage. JCov allows you to see uncovered execution paths and method coverage. It can also show the source code of a program annotated with coverage information. JCov is most useful for testing to determine execution paths.

As code is being developed, you can address security and quality issues. Coverity®, a fast, accurate and highly scalable static analytics (SAST) tool that assists development and security teams to address security and quality issues early in the software development cycle (SDLC), track risks across the application portfolio, manage them, and ensure compliance with security standards and coding standards. Coverity is compatible with the Code Sight™, an IDE plugin that allows developers to identify and fix security and quality issues as they code. To minimize disruption, Coverity runs an incremental analysis in the background, giving developers real-time results. This includes CWE information and remediation guidance.

Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.

The Checkmarx Software Security Platform is a centralized platform for managing your software security solutions. This includes Static Application Security Testing, Interactive Application Security Testing and Software Composition Analysis. It also provides application security training and skill development. The Checkmarx Software Security Platform is designed to meet the needs of every organization. It offers a wide range of options, including on-premises and private cloud solutions. Customers can immediately start securing code without having to adapt their infrastructure to one method. The Checkmarx Software Security Platform is a powerful tool that transforms secure application development. It offers industry-leading capabilities and one powerful resource.

Traditional debugging and testing methods are not sufficient to ensure software quality, reliability, security, and security in today’s complex code bases. Static source code analyzers and other automated tools are more effective at detecting defects that could lead to buffer overflows, resource leaking, and other security or reliability issues. These types of defects are often missed by compilers when they perform standard builds, runtime testing, or in field operations. DoubleCheck, which is integrated into the Green Hills C/C++ compiler, is a static analyzer that runs as a separate tool. DoubleCheck uses efficient and accurate analysis algorithms that have been field-proven over 30+ years of creating embedded development tools. DoubleCheck can be used to perform both compilation and defect analysis in one tool.

Atlassian Clover has been a reliable source of code coverage analysis for Java and Groovy developers for many years. This reliability has allowed us to concentrate our development efforts on improving our core offerings like Bitbucket and Jira Software. Clover has been open-sourced, which we believe is the best way for Clover to receive the attention and focus it deserves. Clover is open to developers who are eager to contribute, just like they were with other open-source projects such as the IDE connectors or dozens of libraries. Clover is already a powerful tool for code coverage and we are excited to see how the community will make Clover thrive.

BullseyeCoverage, an advanced C++ code cover tool, is used to improve software quality in vital systems like enterprise applications, industrial control and communications. Function coverage gives you an overview of testing completion and highlights areas that are not covered. This metric can be used to increase coverage in all areas of your project. Condition/decision coverage provides details at the control structure level. This metric can be used to achieve high coverage in certain areas, such as unit testing. C/D coverage is more detailed than branch coverage or statement coverage and can be used to achieve higher productivity than more complex coverage metrics.

Debugging should not be complicated. AQTime Pro converts complex performance and memory information into easily digestible and actionable insights that allow you to quickly identify the root cause of bugs. Code bugs can drain your life! AQTime Pro makes it simple to find and squash highly differentiated bugs. You can quickly find memory leaks and performance bottlenecks as well as code coverage gaps with just a few clicks using over a dozen profilers. AQTime Pro allows you to find and fix all bugs in one tool, so you can get back to writing high-quality code. Code profilers shouldn't limit you to a single framework or codebase. They can prevent you from finding performance bottlenecks and memory leaks as well as code coverage gaps that are unique to your project. AQTime Pro can be used across multiple codebases or frameworks in a project. It supports many languages, including C/C++ and Delphi,.NET and Java.

Ruby and GitHub: Actionable test coverage Get insights and checks to help your team deliver healthy code. Stop focusing on 100% coverage of test coverage. Reduce defects in pull requests by notifying when the code hasn't been tested before it is deployed to production. The CI server runs tests, and uploads coverage data for UndercoverCI. This is the only post-installation step. We scan the PR diff to verify local coverage for each class, method, or block. An absolute percentage check is not sufficient. Untested methods and blocks are revealed, as well as unused code paths. This will help you improve your test suite. Explore the Ruby gems family or install UndercoverCI's hosted GitHub app. Easy setup for your organization with a fully-featured GitHub App code inspection integration. The UndercoverCI project, and the related Ruby gems, are completely open-source and can be used locally or in your CI/CD workflows.

PHPUnit needs the dom, json extensions. These extensions are usually enabled by default. PHPUnit also needs the reflection, pcre and spl extensions. These extensions are default enabled and cannot be disabled without patching PHP’s build system or C sources. To use the code coverage report feature, you will need to have the Xdebug (2.7.0 and later) and tokenizer extensions. The xmlwriter extension is required to generate XML reports. Unit tests are intended to be a good practice for developers to identify and fix bugs, refactor code, and serve as documentation for the unit of software being tested. Unit tests should cover all possible paths within a program to reap these benefits. A unit test typically covers one path within a function or method. A test method is not always an independent, encapsulated entity. There are often implicit dependencies between test method, which are hidden in the test's implementation scenario.

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.

Use potent code analysis to integrate security into SDLC. Software development must include security. It has not been historically. Static application security testing was used to be separated from Code quality reviews. This resulted in limited impact and value. beSOURCE focuses on the code security of applications and integrates SecOps with DevOps. Other SAST offerings view security as a separate function. Beyond Security has turned this model on its head by adopting the SecOps perspective when addressing security from every angle. Security Standards. beSOURCE adheres all relevant standards.

jscoverage tool with JavaScript and node.js support. Increase the coverage range. The jscoverage module can be loaded using mocha. When you select list, spec, or tap reporter in mocha, jscoverage will add coverage information. To specify the reporter, such as HTML or detail, you can use covout. The detail reporter will display the uncovered code directly in the console. Mocha runs a test case using the jscoverage module. jscoverage will not list files in the covignore directory. jscoverage will produce a report in HTML format. jscoverage will insert a set of functions into your module exports. Default jscoverage will search for covignore within the project root. jscoverage will copy excluded files from the source directory into the destination directory.

The Most Comprehensive Static Analysis Toolsuite available for Ada. CodePeer assists developers to gain a deeper understanding of their code and create more reliable and secure software systems. CodePeer is an Ada code analyzer that detects logic and run-time errors. It helps to identify errors at every stage of the development process. CodePeer can improve the quality of your code, and make it easier to do safety and/or security analyses. CodePeer can be used standalone on Windows or Linux platforms. It can also be integrated into GNAT Pro's development environment. It can detect many of the "Top 25 Most Dangerous Software errors" in the Common Weakness Enumeration. CodePeer supports all Ada versions (83, 95 and 2005, as well as 2012). CodePeer is a certified Verification Tool under the EN 50128 and DO-178B software standards.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

SpiraTest is a complete quality control and test management system by Inflectra. Software teams can manage their requirements, test cases, bugs, and defects with SpiraTest's requirements traceability feature and real-time coverage analysis. SpiraTest can be used both on-premise or in the cloud.

Support over 20 languages including Java, JSP, C/C++, C#, Python, Swift, ASP(.NET), ABAP, Object C, etc. Conforms to international security standards and guidelines. Analysis of MVC structure, associated files, and analysis function call relationship at various levels. Incremental analysis: Reduce analysis time by only analysing newly added, modified files as well as their associated files. To identify vulnerabilities and improve search results, you can interact with other Sparrow AST solutions (DAST or RASP). Track and track vulnerabilities from their origin to the actual code with the issue navigator. Automated real-source code correction guide. Automated classification and analysis of vulnerabilities. Dashboard for analysis results management and statistics. Management of centralized rules (Checker), based on information such as risk levels, option, and other.

NCover Desktop is a Windows program that allows you to collect code coverage statistics for.NET services and applications. Desktop displays coverage metrics and charts in a browser-based GUI. This allows you to drill down to individual lines of source code. Bolt, a Visual Studio extension, is also available in Desktop. Bolt provides code coverage with built-in timings, timings, and source code highlighting directly within Visual Studio IDE. NCover Desktop is a significant leap forward in code coverage tools flexibility and ease. The NCover user can track the code coverage while they test their.NET code and get a precise measurement of the unit test coverage. These statistics can be tracked over time to give you a concrete measure of code quality throughout the development cycle.

OpenText ALM Quality Center is a single-pane-of-glass for software quality management. It helps you implement rigorous and auditable lifecycle process and govern application lifecycle activities. Use the reusability and traceability of ALM tools, as well as their automation, to improve efficiency when developing, testing and maintaining applications. Automate the collection of results and gain real-time insight into application quality by eliminating time-consuming, error-prone manual processes. Standardize processes with templates and workflows built into ALM. Ensure compliance through detailed change tracking, a risk-based strategy and detailed change tracking. Integrate and use APIs to create a vendor-neutral, automated ecosystem for data consolidation throughout your application lifecycle. Choose the deployment option that best meets your needs for scalability and security.

OpenCppCoverage, a tool that covers C++ under Windows, is an open-source code cover tool. It is used primarily for unit testing coverage. However, you can also use the tool to determine the executed lines of a program for debugging purposes. Visual Studio support. Visual Studio support. OpenCppCoverage will run your program without you needing to recompile it. HTML reporting, line coverage. Run as Visual Studio Plugin. Jenkins support and optimized build. A regular expression can be used to exclude a line. Coverage for child processes. Coverage aggregation allows you to run multiple code coverages and combine them into one report. Requires Windows Vista and higher. All editions, including the Express edition, require Microsoft Visual Studio 2008 or greater. It should also work with previous versions of Visual Studio. The Test Explorer window can be used to run the tests.

This module provides Perl code coverage metrics. This module provides code coverage metrics for Perl. They show how thoroughly tests use code. Devel::Cover allows you to identify areas of code that are not being used by your tests. You can also determine which tests to add to increase coverage. Code coverage can be considered an indirect indicator of quality. Devel::Cover has many of the features you would expect in a useful coverage tool. Reports include information on the coverage of statements, branches, conditions, subroutines, and pods. Subroutine and statement coverage data should be accurate. Although not always as accurate as one might expect, branch and condition coverage data should be generally accurate. Pod coverage is derived from Pod::Coverage. If Pod::Coverage::CountParents is available it will be used instead.

BMC Compuware Xpediter, a collection of debuggers, interactive analysis tools, and debuggers for COBOL, Assembler and PL/I programs, helps developers quickly understand applications and make changes in a secure environment. Even if they don't know the source code, it allows them to quickly fix problems. Xpediter allows developers to quickly jump into interactive testing sessions and move applications into production faster. You can see line-by-line execution of code and manage all aspects of program execution. Code Coverage allows you to view metrics and see proof of execution for multi-platform applications. You can access Abend-AID diagnostic capabilities within a debugging session. Integrate Topaz for Program Analysis to see a graphical representation of the source code. Topaz for Total Test can be used to build a complete portfolio of automated virtualized test cases. Remotely intercept and debug mainframe transactions.

A self-contained CodeCoverage compatible driver for PHP. PCOV will attempt, if left unset to find src and lib in the current working director in that order. If none are found, the current directory will be used. This could waste resources for storing coverage information. To avoid wasting resources, it is recommended that PCOV contain test code. To avoid unnecessary allocations of arenas for traces or control flow graphs, PCOV should always be set according to the test suite's memory requirements. To avoid reallocations of tables, PCOV should not be set higher than the number files that will be loaded during testing. This includes test files. Interoperability with Xdebug cannot be achieved. The executor function is disabled at an internal level by PCOV. Any extension or SAPI that does the same will also be broken. Code runs at full speed with PCOV, which is free and has no cost.

Seerene's Digital Engineering Platform uses software analytics and process mining technology to analyze and visualize your company's software development processes. It uncovers weaknesses and transforms your company into a well-oiled machine that delivers software efficiently, cost-effectively and quickly with the highest quality. Seerene gives decision-makers the information they need to drive their organization towards software excellence at 360deg. Reveal code that is often broken and kills developer productivity. Reveal features that are not executed by end-users or have a mismatch in developer time and created user value.

JaCoCo is a Java code coverage library that is free and open-source. It was created by the EclEmma group based on lessons learned from integrating libraries over many years. The master branch of JaCoCo can be automatically built and published. Every build is considered fully functional due to the test-driven development approach. For the most recent features and bug fixes, see the change history. SonarCloud.io provides SonarQube code quality metrics for the current JaCoCo implementation. Integrate JaCoCoCo technology into your tools. JaCoCoCo tools are available right out of the box. You can improve the implementation or add new features. There are many open-source Java coverage technologies. The Eclipse plug-in EclEmma was implemented. It was clear that none of them were designed for integration. They are usually only compatible with a specific tool (Ant Tasks, Command Line, IDE Plug-in), and don't offer an API that allows embedding into different contexts.

Cantata is an integration and unit testing tool that allows developers to verify code that is compliant with the standard on embedded and host-native target platforms. Cantata automates test framework generation and execution to help accelerate compliance with dynamic testing requirements. Results diagnostics and report generation. Cantata integrates with a wide range of embedded development tools, including compilers and static analysis tools, to build and requirements management tools, and more. Cantata is easy to use thanks to the ECLIPSE®, tight tool integrations, and tests written in C/C++. SGS-TUV SAAR GmbH has independently certified Cantata for the main software safety standards. The standard Cantata tool certification kits come free of charge. They include everything you need out-of-the box and comprehensive guidance to help achieve certification for your device software.

Get world-class mobile applications faster to the market without compromising security. We can build and deploy mobile apps for your organization at scale, and we will take care of your mobile app security. Appknox is the most highly rated security solution according to Gartner. We are thrilled when our client's app is protected against all vulnerabilities. Appknox is committed to helping businesses achieve their goals today and in the future. Static Application Security Testing (SAST). Appknox SAST has 36 test cases and can analyze your source code to detect nearly every vulnerability. Our tests cover security compliances such as OWASP Top 10, PCI DSS, HIPAA, and other commonly used security threats. Dynamic Application Security Testing, (DAST). Advanced vulnerabilities can be detected while your application is still running.