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Titlebook: Software Quality: Higher Software Quality through Zero Waste Development; 15th International C Daniel Mendez,Dietmar Winkler,Johannes Bergs

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1865-1348 rs presented in this volume were carefully reviewed and selected from 10 submissions. The volume also contains one invited talk. .978-3-031-31487-2978-3-031-31488-9Series ISSN 1865-1348 Series E-ISSN 1865-1356
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Comparing Anomaly Detection and Classification Algorithms: A Case Study in Two Domainsorest) can achieve only 73% at best. Based on the results, we conclude that it is better to invest in annotating data á priori and use classification algorithms, despite the lower costs of using the anomaly detection algorithms.
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Applying a Genetic Algorithm for Test Suite Reduction in Industry industry and the achieved results are able to satisfy the requirements of the studied project. Nevertheless, major challenges have been identified by applying the approach in industry. They are related to the reliable collection of test execution data from previous test runs and dealing with test s
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A Catalog of Source Code Metrics – A Tertiary Studyfied 52 relevant secondary studies. We reported 423 source code metrics together with their descriptions and the internal quality attributes they measure. Source code metrics predominantly incorporate . as a unit of code to measure internal quality attributes. In contrast, several source code metric
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Software Quality: Higher Software Quality through Zero Waste Development15th International C
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filled with a large number of interacting particles and leave the system to interact freely for a long time. Then the system will reach a maximum entropy state. Statistical physicists find the ME density function for this equilibrium system which is described by a constant average energy per particl
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