Code coverage analysis (also called test coverage analysis) is an important step in software testing. As a white box testing strategy, it helps the testing team in determining if adequate testing has been done. Coverage analysis reveals areas of the code that have not been exercised during testing.

Features:

·        Statement and Branch Coverage
JCover™ gathers the most popular coverage measures used in the industry. On top of these two, it computes Method, Class, File, and Package coverage. Collectively, these enable a tester in determining the adequacy of a test suite.

·        Intuitive User Interface
JCover™ sports a friendly and intuitive user interface. It takes just a few minutes to get started with JCover™. The distribution includes several example applications to show you how to use the tool effectively.

·        Source as well as class files
You can gather test coverage measures of applications whose source is available, or you can choose to work with compiled class files. If you prefer, you may work with a mix of the two.

·        Client and Server-side Testing
Use JCover™ to test simple client applications as well as application servers. JCover™ uses the standard Debug API to talk to the JVM, so it can work with any standards-compliant JVM.

·        Coverage Comparison
You can take advantage of JCover’s™ data analysis feature to see how coverage improves across several test runs.

·        Batch Mode for Automated Build
JCover™ is shipped with a batch-mode utility to build a coverage-enabled application as part of an automated build process. The IDE is required only for studying the coverage and for generating reports.

·        Coverage Differencing
This unique feature of JCover™ lets you understand how two sets of test runs differ from each other. Using familiar set-theoretic ideas, JCover™ shows you whether coverages overlap, or are disjoint. Such insights enable a tester to optimise test cases by minimising redundancy.

·        Reports and Charts
You can generate a variety of reports and charts. HTML, XML, and CSV are standard. You can even export the data to MDB format for subsequent analysis.

·        Coverage API for Better Control
Working with application servers sometimes requires greater control of the application under test. JCover™ makes this possible by providing a Java API that can be integrated into your test framework. This API allows you to programmatically control JCover’s™ coverage agent at runtime.

Over the years we have managed to build a solid team of software professionals that come from various backgrounds and expand the creative potential of the company. The expertise that they posses embraces a wide range of custom programming skills involving the latest and most effective development technologies, such as .NET (ASP.NET, C#, VB.NET), XML and many more. And Jcover is one of them. This to a great extent defines the quality and reliability of the custom software applications that we develop. Our competence and experience ensure that we deliver excellent services and products to our customers. At every stage of the development process, from conceptual design to product release, the highest quality standards are maintained.