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 cov...
—Many efficient random testing algorithms for object-oriented software have been proposed due to their simplicity and reasonable code coverage; however, even the stateof-the-art...
Testing a large-scale, real-life commercial software application is a very challenging task due to the constant changes in the software, the involvement of multiple programmers an...
Popular code coverage measures, such as branch coverage, are indicators of the thoroughness rather than the fault detection capability of test suites. Mutation testing is a fault-...
JSContest is a tool that enhances JavaScript with simple, type-like contracts and provides a framework for monitoring and guided random testing of programs against these contracts ...