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One of the great benefits of using a Stream X-machine (SXM) to specify a system is its associated testing method. Under certain test conditions, this method produces a test suite that can determine the correctness of the implementation under test (IUT). However, the size of the test suite is generally very large, the manual test suite generation is very complex and error-prone. With the more and more...
We describe a benchmark of publicly-available multi-threaded programs with documented bugs in them. This project was initiated a few years ago with the goal of helping research groups in the fields of concurrent testing and debugging to develop tools and algorithms that improve the quality of concurrent programs. We present a survey of usage of the benchmark, concluding that the benchmark had an impact...
Choosing the right test cases is an important task in software development due to high costs of software testing as well as the significance of software failures. Therefore, evaluating the quality of test techniques and test suites may help improving test results. Benchmarking has been successfully applied to various domains such as database performance. However, the difficulty in benchmarking test...
Search-based test data generation has been a considerably active research field recently. Several local and global search approaches have been proposed, but the investigation of artificial immune system (AIS) algorithms has been extremely limited. Our earlier results from testing six Java classes, exploiting a genetic algorithm (GA) to measure data- flow coverage, helped us identify a number of problematic...
The assessment of a testing strategy and the comparison of different testing strategies is a crucial part in current research on software testing. Often, manual error seeding is used to generate faulty programs. As a consequence, the results obtained from the examination of these programs are often not reproducible and likely to be biased. In this paper, a flexible approach to the benchmarking of...
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