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Most test coverage analyzers help in evaluating the effectiveness of testing by providing data on statement and branch coverage achieved during testing. If made available, the coverage information can be very useful for many other related activities, like, regression testing, test case prioritization, test-suite augmentation, test-suite minimization, etc. In this work, we present a Java-based tool Code Cover for test coverage reporting. It supports testing and related activities by recording the test coverage for various code-elements and updating the coverage information when the code being…mehr

Produktbeschreibung
Most test coverage analyzers help in evaluating the effectiveness of testing by providing data on statement and branch coverage achieved during testing. If made available, the coverage information can be very useful for many other related activities, like, regression testing, test case prioritization, test-suite augmentation, test-suite minimization, etc. In this work, we present a Java-based tool Code Cover for test coverage reporting. It supports testing and related activities by recording the test coverage for various code-elements and updating the coverage information when the code being tested is modified. The tool maintains the test coverage information for a set of test cases on individual as well as test suite basis and provides effective visualization for the same. This work presents Tool called Code Cover. This work proposes the enhancements to the existing Tool Code Cover.
Autorenporträt
Patil, Abhinandan H.
Mr. Abhinandan H. Patil has 10 years of Industry experience and 5 years of Research experience. He is Ex Motorolan where he was working on Tools which were used for testing Wireless Network software. He is a active Researcher in few areas such as Regression Testing, IoT, CT, AI, ML and Data Science.