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Many applications in the field of scientific computing - such as computational biology, computational linguistics, and others - depend on Machine Learning algorithms to provide important core functionality to support solutions in the particular problem domains. However, it is difficult to test such applications because often there is no "test oracle" to indicate what the correct output should...
Social demand on high-quality software has become more and more imperative, and thus how to cultivate skilled software testers is an arduous task for education community all over the world. Based on the experiences and related method experiments of teaching software testing course, a new teaching method named question-driven teaching method (QDTM) is proposed to enrich the education for professional...
Software testing is a core activity in quality assurance. To improve the test process, we can use best practice models which describe in detail what to do in organizational test processes. The improvement activities using best practice models are performed as follows: checking the current status of test processes, suggesting and planning new actions, and implementing the actions. However, it is difficult...
Too often projects deliver software of which the quality is difficult to predict. Sometimes the project completion is delayed due to the continuous change of requirements while the software is still being built. The quality level must align with the company needs. It is extremely important that the planned benefits of an IT system are reached. When the benefits are not achieved it will cause much...
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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