Alternatives to SmartBear AQTime Pro

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.

Scout APM is an application performance monitoring tool that helps developers identify and fix performance problems before customers see them. Scout APM is a developer-centric UI that provides real-time alerting and trace logic that ties bottlenecks directly back to source code. This allows you to spend less time fixing bugs and more time building great products. With an agent that instruments only the dependencies you require, you can quickly identify, prioritize, or resolve performance issues - memory bloat and N+1 queries, slow databases queries, and many more - in a fraction of time. Scout APM was created by developers for developers. It monitors Ruby, PHP and Python as well as Node.js and Elixir applications.

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.

IQM Studio is our technology that powers our Integrated Quality Management process. It's made up of our IQM Modeling, and IQM Scripting features. IQM Modeling's powerful test generator algorithm can automate test design in our Cause Effect Models. This takes the guesswork out testing. You can save time and ensure that you are validating system behavior by writing test cases using a model of your system. IQM Scripting can be used in a standalone mode to create automation scripts using keywords. You can also combine both features with IQM Studio to generate automation scripts from your model. IQM Scripting allows everyone in a project to create automation scripts. This includes non-programmer resources such as BA's and SME's.

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.

Xdebug is a PHP extension that provides a variety of features to enhance the PHP development experience. You can step through your code while the script is running in your editor or IDE. A new var_dump() function that allows you to stack trace your code to highlight warnings, errors and exceptions. Writes every function call, including arguments and invocation location to the disk. Optionally, includes each variable assignment and return value for each of the functions. With the help of visualization tools, you can analyze the performance of your PHP app and identify bottlenecks. This tool allows you to see which parts of your code are executed when PHPUnit runs unit tests. The fastest way to install Xdebug is often with a package manager. You can replace the PHP version you are using with the version that is compatible. Xdebug can be installed via PECL on Linux & macOS using Homebrew.

Simple JavaScript test coverage. Istanbul instruments your ES5 JavaScript code with linecounters. This allows you to track how well your unit tests exercise your codebase. The nyc command line-client for Istanbul is compatible with most JavaScript testing frameworks (tap, mocha, AVA etc. First-class support of ES6/ES2015+ using babel-plugin-Istanbul. Support for JavaScript testing frameworks. Use the nyc command line interface to instrument subprocesses. It is easy to add coverage to your mocha test. Simply add the command nyc to your existing test command. The instrument command of nyc can be used to inspect source files in a context other than your unit tests. nyc can show you the Node processes that were spawned while running a test script. By default, nyc uses Istanbul’s text reporter. You can however specify an alternative reporter.

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.

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.

You can save time and money by finding and fixing problems earlier. You can reduce the time and expense of delivering high quality software by avoiding costly and more complex problems later. Ensure that your C# and VB.NET codes comply with a wide variety of safety and security industry standards. This includes the requirement traceability required and the documentation required for verification. Parasoft's C# tool, Parasoft dotTEST automates a wide range of software quality practices to support your C# or VB.NET development activities. Deep code analysis uncovers reliability issues and security problems. Automated compliance reporting, traceability of requirements, code coverage and code coverage are all key factors in achieving compliance for safety-critical industries and security standards.

All Go developers, whether they are newbies or professionals, can use the on-the-fly error identification and suggestions to fix it. One-step undo and intelligent code completion are all available. Documentation hints and dead code detection are also available. It takes a lot of effort and time to understand legacy, team, and foreign projects. GoLand code navigation allows you to quickly switch between shadowed methods, implementations and usages. You can jump between files, types, and other symbols. You can also find their usages, and examine them with a convenient grouping by type. You can run and debug your applications with powerful built-in tools. You can create and debug tests with no additional plugins or configuration work, and you can test your applications directly in the IDE. The IDE includes a built-in Code Coverage tool to ensure that your tests do not miss any important information.

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.

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.

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.

Find performance bottlenecks quickly and visualize what's going on in complex C/C++ applications. Orbit is an independent profiler and debugging software for Windows and Linux. Its primary purpose is to assist developers in understanding and visualizing the execution flow of complex applications. Orbit provides a bird's-eye view of what's happening under the hood. This allows developers to better understand complex systems and quickly identify performance bottlenecks. Orbit will work on any C/C++ program, as long as the application has access to a Pdb file. As soon as Orbit is downloaded, you can start profiling. Orbit injects and hooks selected functions into the target process. It works on highly optimized final/shipping build. When you don't have a clue where to begin, sampling is a great way to get started. Orbit's sampler is fast, robust and "always-on". Orbit optimizes the workflow by combining dynamic instrumentation and sampling.

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.

You can build reliable and optimized code to achieve the best results on multiple Server or HPC architectures. This includes the latest compilers and C++ standard, as well as Intel, 64-bit Arm and AMD, OpenPOWER and Nvidia GPU hardware. Arm Forge combines Arm DDT (the leading debugger for efficient, high-performance application debugging), Arm MAP (the trusted performance profiler that provides invaluable optimization advice across native, Python, and HPC codes), and Arm Performance Reports, which provide advanced reporting capabilities. Arm DDT/Arm MAP can also be purchased as standalone products. Arm experts provide full technical support for efficient application development on Linux Server and HPC. Arm DDT is the best debugger for C++, C, and Fortran parallel applications. Arm DDT's intuitive graphical interface makes it easy to detect memory bugs at all scales and divergent behavior. This makes it the most popular debugger in academia, industry, research, and academia.

Seagence's unique execution pathway technology, combined with machine learning, allows you to receive realtime alerts that pinpoint the root cause of any defects in your Java production applications. You can fix your code without any debugging. When you start your application, attach a lightweight runtime Java agent. Seagence agent tracks data about how requests are processed as users access the application. Seagence needs to have enough sample for analysis within 24 hours. Seagence's analytics engine receives the data in realtime. It detects defects and alerts when they occur. Seagence can uncover all defects in your application, even those that are not obvious. Seagence provides defect and root cause information to help you fix your code. Seagence monitors your production application continuously and finds defects and root causes in real-time. This eliminates the need to debug.

Introducing Xcode 12. Introducing Xcode 12. Xcode 12 creates Universal apps by default to work with Apple Silicon. This is often done without changing a single line. Designed for macOS Big Sur. Xcode 12 looks great in macOS Big Sur. It has a navigator sidebar that extends to the top of your window and clears new toolbar buttons. The default font size for the navigator is a larger one that's easier reading, but you can choose from multiple sizes. You can create a working set within your workspace by creating new document tabs. Document tabs. You can open a new tab by double-clicking, or track the file as you move around the navigator. To create a working set for your current task, you can arrange the document tabs and change how content is displayed within each tab.

Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. CTC++ can also be used on Objective-C, Java, and C# code with certain add-on components. CTC++ can also be used with certain add-ons to analyse code on any embedded target machine, even in very small ones (limited RAM, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. CTC++ is a dynamic analysis tool that displays the execution counters of the code (how many times it has been executed), i.e. CTC++ provides more information than just executed/not executed information. CTC++ can also be used to measure the execution cost of function functions (normally time) or to allow function entry/exit traceability at test time. CTC++ is simple to use.

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.

We help you deliver code confidently. Open-source repositories are free. Pro accounts are available for private repositories. Sign up instantly through Bitbucket and Gitlab. It is vital to maintain a well-tested codebase. It can be difficult to identify the areas where your tests are failing. It's not difficult to find where your tests are lacking. You already run your tests on a continuous-integration server. Coveralls works in conjunction with your CI server to scan your coverage data and find issues before they become a problem. If you are only running your code coverage locally you won't see any changes or trends that occurred during your entire development cycle. Coveralls allows you to view every detail of your coverage, with unlimited history. Coveralls makes it easy to track your code coverage. You can see where you stand with untested code. You can be confident that your code is protected.

You should balance your time writing applications with testing code. The most advanced code coverage tool for Java or Groovy. OpenClover measures Java and Groovy code coverage and collects more than 20 code metrics. OpenClover not only shows you the untested areas of your app, but also combines coverage metrics to identify the most risky code. The Test Optimization feature shows you which test cases are related each class of your code. This feature allows OpenClover to run tests that are relevant to changes in your application code. This greatly reduces test execution time. Are testing getters and setters of value? Or machine-generated code. OpenClover is more flexible than other tools when it comes to defining the coverage measurement. You can exclude files, files, classes and methods as well as single statements. You can concentrate on testing the most important parts of your code. OpenClover records test results and measures code coverage for each test.

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.

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.

Codase hosts a large number of open source codes, providing better coverage. It covers codes often hidden in compressed files and source control repositories that are difficult for general search engines to index. Codase also indexes and searches only high-quality codes. Every line of code is validated and compiled using an intelligent and powerful source code analysis engine. Codase, a privately owned company located in Silicon Valley, was founded by Dr. Huihong Luo along with other veterans. We are a group made up of passionate and innovative professionals with diverse business backgrounds, technologies and proven track records. Codase is the best source code search engine in the world, both in terms of performance, features and code coverage. Codase may be useful to developers, as we aim to improve your coding productivity.

Tarpaulin, a code coverage reporting tool for Cargo build system is named after a waterproof cloth that was used to cover cargo on ships. Tarpaulin currently provides working line coverage, but the results may not be 100% reliable. It has taken a lot of work to get it working on many different projects. However, sometimes unique combinations of packages or build features can cause problems so please report any issues. Check out our roadmap to see the planned features. Linux Tarpaulin's default trace backend is still Ptrace. It will only work with x86_64 processors. This can be changed to llvm coverage instrumentation by using --engine llvm. For Windows and Mac, this is the default collection method. You can also run it in Docker. This is useful for those who don't have Linux but still want to run it locally. during development. For more information, see below.

Arm DDT is the most widely used server and HPC debugger in academia, research, and industry for software engineers and scientists who develop C++, C, Fortran parallel, and threaded programs on CPUs and GPUs, Intel and Arm. Arm DDT is trusted for its ability to detect memory bugs and divergent behavior, enabling it to deliver lightning-fast performance on all scales. Cross-platform support for multiple servers and HPC architectures. Native parallel debugging for Python applications. Market-leading memory debugging. Outstanding C++ debugging support. Complete Fortran debugging support. Offline mode allows you to debug non-interactively. Large data sets can be visualized and handled. Arm DDT is a powerful parallel tool that can be used as a standalone debugger or as part the Arm Forge profile and debug suite. Its intuitive interface graphically allows for automatic detection of memory bugs at all scales and divergent behavior.

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.

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/

SourceDebug is a powerful, project-oriented programming editor, code viewer, and debugger. It helps you understand code as you work and plan. SourceDebug includes dynamic analysis for C/C++ and Objective-C. SourceDebug can debug applications with source code from different locations. SourceDebug allows you to edit, browse, compile, and debug both local and remote projects. It can be used to quickly learn existing code and to get up to speed with new projects. SourceDebug can parse your entire project and allow you to navigate and edit code with ease. It can jump to variables, functions, and include files easily. Smart Bookmark can store the location of your browser and play it back when necessary. Supports GDB and LLDB-MI debug via SSH, ADB Telnet, Rlogin, and Local Cygwin. GDB server debug is also possible. Show Quickwatch, Callstacks, Variables and Memory. Supported are Ftp, Sftp, and Local drives.

It is now easier than ever to create services with Go thanks to the strong ecosystem of APIs and tools available on major cloud providers. Go allows you to create elegant and fast CLIs using popular open-source packages and a robust standard repository. Go powers fast, scalable web applications thanks to its enhanced memory performance and support of several IDEs. Go supports both DevOps as well as SRE with its fast build times and lean syntax. All you need to know about Go. Get started on a project or refresh your knowledge about Go code. Three sections provide an interactive introduction to Go. Each section ends with a few exercises that allow you to put what you have learned into practice. Anyone can use a web browser to create Go code that we instantly compile, link, then run on our servers.

You can add logs, metrics, and traces to production or staging directly from your IDE/CLI, in real time and on-demand. Lightrun can help you increase productivity and ensure 100% code-level observability. Lightrun allows you to insert logs and metrics even when the service is in progress. You can debug monolith microservices like Kubernetes and Docker Swarm, ECS and Big Data workers, as well as serverless. Quickly add a logline, instrument a measurement, or place a snapshot that can be taken on-demand. There is no need to recreate the production environment or redeploy. Once instrumentation has been invoked, data is printed to your log analysis tool, your editor, or an APM of choice. To analyze code behavior and find bottlenecks or errors, you can stop the running process. You can easily add large numbers of logs and snapshots, counters or timers to your program. The system won't be stopped or broken. Spend less time debugging, and more time programming. Debugging is done without the need to restart, redeploying, or reproduce.

TotalView debugging software gives you the specialized tools to quickly analyze, scale, and debug high-performance computing applications (HPC). This includes multicore, parallel, and highly dynamic applications that run on a variety of hardware, from desktops to supercomputers. TotalView's powerful tools allow for faster fault isolation, better memory optimization, and dynamic visualisation to improve HPC development efficiency and time-to market. You can simultaneously debug thousands upon thousands of threads and processes. TotalView is a tool that was specifically designed for parallel and multicore computing. It provides unprecedented control over thread execution and processes, as well as deep insight into program data and program states.

VisualVM monitors, troubleshoots, and diagnoses Java 1.4+ applications from a variety of vendors using jvmstat (jvmstat.com), JMX (Serviceability Agent), and Attach API. VisualVM is designed to meet the needs of all application developers, system administrators and quality engineers. VisualVM displays basic runtime information for each process: PID, mainclass, arguments passed to the java process, JVM home, JVM arguments and flags, and System properties. VisualVM monitors CPU usage of the application, GC activity and heap and metaspace / permanent memory, as well as the number of loaded classes, and running threads. VisualVM provides basic profiler capabilities to analyze application performance and memory management. Both sampling and instrumentation profiles are available.

Sourcery CodeBench is a powerful tool that allows embedded software engineers to develop and optimize software for a variety targets and domains such as Automotive, Connectivity and Graphics. Sourcery CodeBench is more than just a compiler. It provides developers with powerful open-source embedded C/C++ development tools that allow them to build, debug and optimize embedded software in heterogeneous architectures such as Arm, IA32 and MIPS. Eclipse-based IDE that allows workspace customization and project management. Enhanced source editor with syntax highlighting. Board Builder supports custom boards. This tool automatically generates debug configuration files and linker scripts based on a board’s memory map.

Free & Open Source. Cross-platform. Supports all EVM Blockchains Solidity Debugger Pro is a VS Code Extension that adds rich debugging features for Solidity projects. It supports all EVM compatible blockchains and allows developers to easily debug Smart Contracts locally or on a node forked. Sdbg provides native debugging for the popular Hardhat Framework.

Errsole is a bug-tracking solution that helps streamline logging and debugging for Node.js live apps. The platform offers various functionalities such as error tracking, slow request logging, and centralized logging. Errsole also provides real-time error notifications and daily summaries via Email or Slack. Additionally, the solution helps developers debug live applications directly from their web browsers. - Centralized Logging: Errsole centralizes all application logs from servers in one place. - Error Tracking: Errsole centralizes all application errors in one place for viewing and resolution. - Root Cause Analysis: With Errsole, developers can pinpoint the exact HTTP requests that caused errors. - Slow Request Logging: Errsole tracks and records slow HTTP requests in the application, enabling users to pinpoint and address performance bottlenecks. - Debugging: With Errsole Debugger, developers can debug live applications directly from their web browser. - Collaboration: Invite developers to the app, manage their permissions, and assign errors to individual developers.

Log management. Upgraded Honeycomb. Honeycomb is designed for modern developers to help them understand and improve their log management. You can quickly query system logs, metrics, and traces to find unknown unknowns. Interactive charts provide the most detailed view against raw, high-cardinality data. You can set Service Level Objectives (SLOs), based on what users are most interested in, to reduce noise alerts and prioritize work. Customers will be happy if you reduce on-call time, ship code faster, and minimize the amount of work required. Find the cause. Optimize your code. View your prod in high-res.

Telerik Fiddler HTTP (S) proxy can capture all HTTP(S), traffic between your computer & the Internet. You can inspect traffic, set breakpoints and play with requests & replies. Fiddler Everywhere is a web-debugging proxy that works on macOS, Windows and Linux. You can capture, inspect, monitor, and analyze all HTTP(S), traffic between your computer, the Internet, and mock requests. Fiddler Everywhere is compatible with any browser, app, or process. You can debug traffic from macOS or Windows systems, as well as iOS or Android mobile devices. Make sure that the appropriate cookies, headers, cache directives and headers are sent between the client's and server. Any framework is supported, including.NET and Java, Ruby, and others. You can mock or modify any website's requests and responses. It's quick and easy to modify the requests and responses on any website without having to change the code. Fiddler Everywhere allows you to log all HTTP/S traffic between the computer and the Internet.

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.

WEb INspector REmote is WEinre Pronounced like "winery". Or perhaps like the word "weiner". Weinre is a web page debugger, similar to FireBug (for Firefox), and Web Inspector (for WebKit based browsers), but it's designed to work remotely and, in particular, to allow users to debug web pages from a mobile device like a phone. Weinre was created in an era when there weren't any remote debuggers for mobile devices. Some platforms have begun to offer remote debugging capabilities as part of their platform toolkit. Weinre uses the user interface code from WebKit's web inspector project. If you have used Chrome's Developer Tools or Safari's web inspector, you will be familiar with weinre. Normal usage will require you to run the client application on your desktop/laptop and a target page on your smartphone. Weinre doesn't use any 'native code' in the browser. It's just plain old JavaScript.

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.

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.

Coverage.py can be used to measure the code coverage of Python programs. It monitors your program and notifies you which parts have been executed. Then it analyzes the source code to find code that could have been executed. It is used to measure the effectiveness of tests. It can help you determine which parts of your code are being used by tests and which are not. Coverage run can be used to run your test suite, gather data, and run it again. You can run your test suite as usual, but your test runner can be run under coverage. If your test runner command begins with "python", replace it with "coverage run". To limit the coverage measurement to code in your current directory and to find files that were not executed, add the source argument (to your coverage command line). It will default measure line (or statement) coverage. It can also measure branch coverage. It can also tell you which tests were run on which lines.

A seamless JavaScript code coverage library. Blanket.js, a JavaScript code coverage tool, is easy to install, use, and understand. Blanket.js is easy to use and can be customized to your specific needs. JavaScript code coverage complements your JavaScript tests by including code coverage statistics (which lines in your source code are covered) Parsing the code with Esprima and Node-falafel and instrumenting the file using code tracking lines. After the tests are completed, connect to hooks in test runner to get the coverage details. Grunt has been made to allow Blanket to be used as a code coverage tool. This allows you to create instrumented copies from physical files instead of live-instrumenting. PhantomJS runs the QUnit-based Blanket report without any input. The console displays the results. Grunt will fail if you don't meet any coverage thresholds.

SimpleCov is a Ruby code coverage analysis tool. It uses Ruby's built in Coverage library to gather code data. However, it makes processing the results easier by providing an API to filter, group merge, format and display those results. This allows you to create a complete code coverage suite with just a few lines of code. SimpleCov/Coverage track covered ruby codes, but coverage for common templating options like slim, erb, and haml was not possible. You will want to see all coverage results for your projects. This includes all types of tests and Cucumber features. SimpleCov automatically handles this by caching and merging reports when creating them. This ensures that your report includes coverage across all your test suites, and gives you a better view of any gaps. SimpleCov must run in the same process as the code coverage analysis.

It works with.NET Framework for Windows and.NET Core for all supported platforms. Coverlet supports coverage for deterministic builds. Unfortunately, the solution is not ideal and requires a workaround. Depending on your platform, the following addins can be used to visualize coverlet output in Visual Studio. Coverlet integrates with the build system for code coverage after tests. It is as easy as setting the CollectCoverage property true to enable code coverage. The path to the assembly containing the unit tests is what invokes the coverlet tool. Also, specify the test runner and arguments to pass to it using the --targetargs and --targetargs options. If you provide the arguments, the invocation of test runner must not result in a recompilation or deletion of the unit test assembly.

grcov aggregates code coverage information from multiple source files. grcov processes.profraw files and.gcda file which can be generated using llvm/clang/gcc. grcov can also process lcov files (for JS cover) and JaCoCo (for Java coverage). Supported operating systems include Windows, macOS, and Linux.

Kcov is a FreeBSD/Linux/OSX code cover tester for compiled languages like Python and Bash. Kcov was originally forked from Bcov. However, it has evolved to support a larger feature set than Bcov. Kcov uses DWARF debugging info for compiled programs, just like Bcov. This makes it possible to collect coverage information with no special compiler switches.