Best Code Coverage Tools in Asia

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.

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.

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.

IntelliJ IDEA analyzes the code and finds connections between symbols in all files and languages. This information provides in-depth coding guidance, quick navigation, clever errors analysis, and, ofcourse, refactorings. Space gives you a list of the most relevant symbols applicable in the current context. This and other completions are continuously learning from you and move the members of the most commonly used classes and packages to top of the suggestions list so you can choose them faster. This is a deeper version of Smart Completion. It lists all applicable symbols that are accessible through methods or getters within the current context. Let's say you are looking for Project but only have the Module module declaration. Space twice to get module.getProject() without any additional effort. Complete static members Allows you to use constants or static methods easily. It displays a list of symbols that match your input and automatically adds the required import statements.

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.

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.

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.

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.

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.

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.

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.

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.

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/

Do you want everything to be set up instantly or do you prefer to control your environment and your workflow? CodeShip allows developers to choose the path that is best for them. This will maximize productivity and allow teams to evolve over time. CodeShip allows you to integrate with any tool, cloud, or service you need to create the perfect workflow for your company. We make CodeShip simple to use and provide quick and thorough support for developers. CodeShip will help you get technical support quickly if you have a problem or need assistance. CodeShip's easy-to-use UI and turnkey environment make it easy to get your deployments and builds up and running in no time. As your projects grow, you can develop into more complex workflows and config as-code.

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.

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!

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.

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.

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.

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.

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.

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.

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.

LuaCov is a coverage analyzer that Lua scripts can use. A Lua script that has the luacov module loaded is executed. It generates a stats report with the number of executions for each line and the loaded modules. This file is processed by the luacov command-line script, which generates a report file that allows one to see which code paths were not followed. This file can be used to verify the effectiveness of a test set. LuaCov includes several configuration options, which have their defaults stored in src/luacov/defaults.lua. These are the global defaults. To use project-specific configuration, create a Luascript setting options as globals and returning a table with some options. Then store it as.luacov within the project directory where luacov is running. This config tells LuaCov, for example, that foo module and submodules must be covered. They are located in the src directory.

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.