Software testing test coverage tutorials and videos

Code Coverage as a Predictor of Test Suite Effectiveness

Software Testing Magazine — Wed, 31 Jan 2018 09:39:59 +0000

Learn about the effectiveness of coverage as a technique for evaluating quality of test suite. This presentation shows the utility of coverage by considering its correlation with mutation score, and also shows that coverage is a significant defense against bugs. It also critiques the effectiveness of mutation score as a criteria for test suite quality. Video producer: https://developers.google.com/google-test-automation-conference/

The post Code Coverage as a Predictor of Test Suite Effectiveness first appeared on Software Testing Magazine.

Test Coverage at Google

Software Testing Magazine — Mon, 02 Mar 2015 17:43:25 +0000

Did you ever wonder how testing at Google looks like? What tools we use to help us out and how do we measure and act on test coverage? We will briefly describe the development process at Google, then focus on use of code coverage measurement and how we use code coverage to improve code quality and engineering productivity. In the end, we’ll present the vast amount of coverage data, spanning more than 100.000 commits, we have collected and some more widely applicable conclusions we have reached.

The post Test Coverage at Google first appeared on Software Testing Magazine.

Dynamic Unit Tests Generation with Easy Coverage

Software Testing Magazine — Tue, 22 Jan 2013 21:42:56 +0000

Easy Coverage is an open source framework that can dynamically generate Java unit tests to perform basic verifications. Easy Coverage is extensible and highly configurable. It can work as a standalone product or it can be used with JUnit. In his blog post, Romain Delamare explains how to dynamically generate Java unit tests with Easy Coverage. The post starts by explaining how Easy Coverage works. A particular point is that no additional source code is created, as test cases are generated at runtime and are only stored in memory. Easy Coverage use checkers that perform automatic dynamic verifications on a class or a method. The tool comes with a default set, but you can add your own checkers to extend the testing scope. Then the post provides a step by step procedure on how to configure Easy Coverage with JUnit.

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Software Testing in The Real World

Software Testing Magazine — Mon, 07 Jan 2013 16:07:43 +0000

It is rather rare to have access to the software testing techniques used by a large project to maintain the quality of its code base. In this blog post, Jan Wloka, a member of the team behind IBM’s Rational Team Concert, presents the different techniques and tools used to control software evolution and to improve the quality of their code base. He discusses how they perform unit testing and how they use mocking, with the Mockito framework, to create simply isolated behavior in unit tests and to reduce significantly the test creation effort. He also presents the EclEmma tool that they use to measure their testing coverage and discover which parts of their Java code are not exercised by any test. A much more detailed presentation of these topics is available in the Jazz development teams wiki (registration is needed to access this page) with pointers to external references.

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Unit Test Results and Code Coverage for Android

Software Testing Magazine — Wed, 14 Nov 2012 21:32:44 +0000

In this blog post, Mark Prichard presents a solution on how to use Jenkins to give a “QA dashboard” view of a native Android application build. His goals were to show metrics for the results of unit test and code coverage in an Android build context on the Jenkins continuous integration system. To achieve this goal, he used the android-junit-report open source tool to the results of the Android unit tests in JUnit format. Then he used the the Emma code coverage tool and Android Lint code quality tool to produce the quality reports. The blog post provide instructions on how to add these tools to the Jenkins configuration file to achieve the desired results.

The post Unit Test Results and Code Coverage for Android first appeared on Software Testing Magazine.

Python Testing: Coverage Analysis

Software Testing Magazine — Mon, 06 Jun 2011 20:01:55 +0000

This article covers the coverage analysis of Python: * Building a network management application * Installing and running coverage on your test suite * Generating an HTML report using coverage * Generating an XML report using coverage * Getting nosy with coverage

The post Python Testing: Coverage Analysis first appeared on Software Testing Magazine.

Measure Test Coverage with Cobertura

Software Testing Magazine — Tue, 05 Jan 2010 21:07:59 +0000

Cobertura is an open source tool that measures test coverage by instrumenting a code base and watching which lines of code are and are not executed as the test suite runs. In addition to identifying untested code and locating bugs, Cobertura can optimize code by flagging dead, unreachable code and can provide insights into how an API operates in practice. This article presents how you can take advantage of Cobertura using code-coverage best practices.

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How to Misuse Code Coverage

Software Testing Magazine — Mon, 04 Jan 2010 21:23:37 +0000

Code coverage tools measure how thoroughly tests exercise programs. They are misused more often than they’re used well. This paper describes common misuses in detail, then argues for a particular cautious approach to the use of coverage.

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