1. Test Coverage Tools
2. How To Ensure Test Coverage

The reason for doing the code coverage from byte-code is that there is an existing set-up that runs test scripts for a large application using HP QuickTest Pro. I would imagine that the test coverage is in the single digits, but we need an empirical baseline to demonstrate the possible improvements in code coverage from doing unit tests. Jun 6, 2018 - This is well described in Automated code coverage of unit tests with Maven and JaCoCo post. Another aspect is running code coverage on.

Code Coverage is a measurement of how many lines, statements, or blocks of your code are tested using your suite of automated tests. It’s an essential metric to understand the quality of your QA efforts. Code coverage shows you how much of your application is not covered by automated tests and is therefore vulnerable to defects. Code coverage is typically measured in percentage values – the closer to 100%, the better. And when you’re trying to demonstrate to your higher-ups, code coverage tools (and other, of course) come in quite useful.Over the years, many tools, both open source, and commercial, have been created to serve the code coverage needs of any software development project.

Whether you’re a single developer working on a side project at home, or an enterprise with a large DevOps team, or working on, there’s a code coverage tool to suit every need. Code coverage tools are available for many programming languages and as part of many popular QA tools. They are integrated with build tools like Ant, Maven, and Gradle, with CI tools like Jenkins, project management tools like Jira, and a host of other tools that make up the software development toolset.Below, we’ve listed 25 code coverage tools, including options for:.The tools in each section are listed in alphabetical order for easy reference.Open Source Code Coverage ToolsThere are a number of open source code coverage tools, but they’re not all the same. Some are deprecated, some actively developed, and each takes a different approach to code coverage. 1.Based on the now-retired jCoverage, Cobertura is another popular open source code coverage tool. It lets you execute tasks via Ant, and Maven, or via the Cobertura CLI. Just like EMMA, Cobertura is also not actively maintained and doesn’t support the current Java versions.

It also is embedded into multiple QA tools, and still lives on in other forms.Programming languages: JavaDeveloper:Last release: 2015, version 2.1.1Cost: Free 2.CodeCover is an open source glass-box testing tool for Java and COBOL. Is a “testing technique that examines the program structure and derives test data from the program logic/code.” CodeCover measures statement, branch, loop, and strict condition coverage.CodeCover is well integrated with a host of development and testing tools including Ant, Jenkins, Eclipse, and more. It is licensed under the Eclipse Public Licence (EPL).Programming languages: Java & COBOLDevelopers: Team at University of StuttgartLast release: 2011, version 1.0.1.2Cost: Free 3.Coverage.py is a code coverage tool for Python. It monitors your Python programs, notes which parts of the code have been executed, and analyzes the source to identify code that could have been executed but was not.Programming Languages: PythonDeveloper: Originally developed by, maintained by since 2004Last release: May 2017, Version 4.4.1Documentation:Cost: Free 4.Emma is one of the oldest and most popular of the code coverage tools. Do a Google search for, and EMMA is the first to show up.

EMMA tests coverage of Java applications and supports many types of coverage like class, method, line, and block. EMMA can run on-the-fly or in offline mode. Despite its popularity and mature feature set, EMMA is not actively maintained and doesn’t support the current version of Java. However, it is still widely used, and its legacy still lives on in the many tools and products that it has inspired.Programming languages: JavaDeveloper:Last release: 2005Cost: Free 5.Gretel is a residual test coverage monitoring tool developed by the University of Oregon. The most recent version (which was back in 2002) provides statement coverage monitoring, identifying which lines of Java have been executed and which code has not been touched by testing.Programming languages: JavaDeveloper: University of OregonLast release: June 2002, Version 1.0rc2Cost: Free 6.Hansel is a JUnit extension that adds code coverage to the testing framework. Much of Hansel’s source code comes from Gretel, discussed above, although Hansel is compatible with JUnit, which Gretel is not. Going beyond the typical code coverage tool, Hansel lets developers know how much of the code that a test was supposed to test is covered.

Offers tips on using Hansel with JUnit4.Programming languages: JavaDeveloper:Last release: October 2006, Version 2.0a3Cost: Free 7.With the depreciation of EMMA and Cobertura, there was a need for an actively maintained code coverage tool, and JaCoCo was created just for this reason. It can integrate with Ant, Maven, Gradle, Jenkins, Visual Studio,. Part of the Eclipse Foundation, it replaced EMMA as the code coverage tool that powers the EclEmma plugin, though the name of the plugin stays the same.

It’s one of the few open source projects that’s still being developed.Programming languages: JavaDevelopers:Last release: 2017, version 0.7.10Cost: Free 8.JCov is another open source code coverage tool. It is well integrated with Oracle’s test infrastructure such as JavaTest and JTReg test harness. It supports offline and on-the-fly instrumentation, and is test framework agnostic. It’s not actively developed today.Programming languages: JavaDevelopers:Last release: 2013, version 1.1.1Cost: Free. 9.NoUnit is developed by FirstPartners.net, and it measures your JUnit tests in your projects using Java, XML, and XSLT, giving you a picture of your code to reveal how good and thorough your JUnit tests really are.Programming languages: JavaOrganization: FirstPartners.netLast release: 2013Documentation:Cost: Free 10.PITest does mutation testing for Java and the JVM which it proclaims as the “gold standard test coverage.” Most code coverage tools listed here check for test coverage for each line, statement, or branch of code. This means they can only point out which lines of code aren’t tested. However, mutation testing can tell you not just how many lines of code are tested, but how well your automated tests are at discovering bugs.PITest does this by modifying your code, and running unit tests on the modified code.

If the unit test fails after a code change, the test is useful. However, if the unit test doesn’t fail, it hasn’t been able to detect the change in code and, therefore, needs to be changed.PITest is open source and integrates with And, Maven, Gradle, Eclipse, and InteliJ.Programming languages: JavaDevelopers:Last release: 2016, version 1.1.11Cost: Free 11.Quilt is a Java software development tool for measuring code coverage, optimized for use with the JUnit testing package. In addition to JUnit, it can be used with Ant, Maven, and more. The original Quilt branched off into three distinct versions. The most recent version, Quilt 0.6, contains mostly new code but is inspired by the original version.Programming languages: JavaDevelopers: David Dixon-PeughLast release: 2003, Version 0.6a5Documentation:Cost: Free 12.Serenity BDD is an automated acceptance testing tool that also includes code coverage as one of its features. It lets you write stories and epics for each behavior path, and monitors testing coverage for each of these stories and epics. Because code coverage is mapped to user behavior, the results are a lot more useful than seeing how many lines of code are covered.It integrates with the usual build tools, and even other QA tools like Sauce Labs, BrowserStack, Appium, and even more tools like Jenkins, and Jira.

Serenity BDD provides an integrated testing suite based on, and if you plan on using the entire suite, code coverage is a bonus you get along with it.Programming languages: Java, GroovyOrganization: Wakaleo ConsultingLast release: 2016, version 1.2.3-rc.5Documentation:Cost: FreeCommercial Code Coverage ToolsWhile the open source tools are very capable, sometimes you need the assurance of a paid tool for your important large-scale projects. There are a few good options here as well.

13.Clover is from Atlassian, maker of the popular project tracking tool, Jira. It tests code coverage for Java- and Groovy-based applications. It has numerous integrations with tools CI tools like Bamboo, Hudson, Jenkins, and build tools like Ant, and Maven. You can run Clover in any Eclipse-based IDE or IntelliJ IDEA.Programming languages: Java, GroovyOrganization: AtlassianLast release: 2015, version 4.1.xDocumentation:Cost: $300 – $8,000+ 14.BullseyeCoverage is a code analyzer for C and C that evaluates how much of your source code was tested. It’s used to improve the quality of software in vital systems, such as those in enterprise applications, medical, industrial control, communications, aerospace, and defense. It works with anything you can write in C and C, including system-level and kernel mode.Programming languages: C, COrganization: Bullseye Testing TechnologyLast release: November 2016, Version 8.13Documentation:Cost: $800 for 1-year license and up 15.Coco tests code coverage for C, C, C# and Tcl code. It complements FrogLogic’s UI testing tool – Squish.

It integrates with all major build, CI, and test tools, and even has a Visual Studio add-in.Programming languages: C, C, C# and Tcl codeOrganization: FrogLogicLast release: 2017, version 4.0Documentation:Cost: Not disclosed 16.CTC, as its name suggests, is a code coverage tool for C, C+, Java, and C#. It provides coverage for line, statement, function, decision, multi condition, modified condition/decision coverage (MC/DC), and condition coverage. It is a mature product, in use for over 25 years now, and is still being actively developed.Because of its early start, and enterprise-friendly features, it is used across industries like aerospace, healthcare, and transportation. 23.dotCover also focuses exclusively on.NET. It is integrated into Visual Studio and analyzes unit test coverage. It can highlight code coverage right inside the code editor, which is very convenient.

DotCover is not sold separately but as part of the larger ReSharper Ultimate product from JetBrains.Programming languages:.NETOrganization: JetBrainsLast release: 2016, version 2016.3Documentation:Cost: $11.90/mo – $39.90/mo for ReSharper Ultimate product. 24.OpenCover is an open source code coverage tool for.NET 2 and above.

It works on Windows only. However, for Visual Studio, you have a couple of options for code coverage, including one that’s built-in.Programming languages:.NET2 and aboveDeveloper: Community/Shaun WildeLast release: 2016, version 4.6.519Cost: Free 25.Visual Studio is the popular IDE from Microsoft. It has integrated tools to collect code coverage metrics; however, this feature is only part of the Enterprise edition of Visual Studio.Programming languages: C, COrganization: MicrosoftLast release: 2017Documentation:Cost: $45/mo for the hosted option, $499 – $11,99 for licensing How to Choose a Code Coverage ToolWhen choosing a code coverage tool, there are many things to consider. First, you should consider your programming language.

Most code coverage tools cater to Java, followed by C, and C, and some.NET.You should also consider whether an open source tool or a commercial tool is right for you. If you’re working on a small application, and code coverage is not a critical need, you could make do easily with an open source tool. However, make sure the tool you select is still being actively developed and has a healthy community of developers. If you’re using the tool for your organization’s mission-critical apps, you likely need a commercial tool that’s under active development for responsive.A code coverage tool should be well-integrated with a broad range of development and QA tools that you already use so that your team is likely to adopt it readily and the code coverage metrics it provides are useful.When using a code coverage tool, you need easy access to reports and metrics. There should be a way to export metrics, share it across teams, and analyze results within the tool.

Code coverage metrics are useful to the extent that you can share and analyze them for actionable decision-making.Each tool takes a different. Some take the traditional route of monitoring lines, statements, branches, and blocks of code, then reporting the percentage that’s covered by automated unit tests. However, many tools on this list take a unique approach to code coverage by focusing on requirements, mutation testing, and glass box testing. You need to consider which of these approaches is in line with your development philosophy.Finally, look at code coverage as one aspect of your overall. Code coverage alone won’t give you all the answers on how to improve your tests and reduce bugs, but it can point you in the right direction. If you see your code coverage hovering around the 50% mark, it’s time to sit up and take notice that your test suite needs to be expanded.

This is vital for products that are in a nascent stage. However, even if you to cover 90% of your code base, you could still have inefficient tests that don’t surface bugs. This is when you need to look beyond code coverage to other tools to gauge the quality of your automated tests. Further Reading on Code Coverage ToolsFor more information on choosing the best code coverage tools for your needs and using code coverage to your advantage for better-quality software, visit the following resources:.In conclusion, we hope this list helps you quickly locate the right code coverage tool for the project at hand. What are your go-to code coverage tools? Share your favorites with us in the comments below.

Test Coverage Tools

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How To Ensure Test Coverage

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