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Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04098-9
Abstract: This paper presents a novel method referred as fault coverage-based test suite optimization (FCBTSO) for regression test suite optimization. FCBTSO is proposed based on Harrolds–Gupta–Soffa (HGS) test suite reduction method, and it follows the phenomenon:…
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Keywords:
suite optimization;
test suite;
fault coverage;
test ... See more keywords
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Published in 2018 at "Empirical Software Engineering"
DOI: 10.1007/s10664-017-9552-y
Abstract: Automated program repair is increasingly gaining traction, due to its potential to reduce debugging cost greatly. The feasibility of automated program repair has been shown in a number of works, and the research focus is…
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Keywords:
program repair;
test suite;
automated program;
suite metrics ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3188856
Abstract: Software testing is important for ensuring the reliability of software systems. In software testing, effective test case generation is essential as an alternative to exhaustive testing. For improving the software testing technology, the t-way testing…
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Keywords:
way;
test case;
test suite;
test ... See more keywords
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Published in 2022 at "IEEE Software"
DOI: 10.1109/ms.2021.3108060
Abstract: A test suite is typically assessed using a criterion such as requirements coverage or code coverage. This article presents a metric to measure the adequacy of a test suite with respect to the modeled test…
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Keywords:
suite respect;
test suite;
test;
adequacy test ... See more keywords
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Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2519450
Abstract: Growing trend of the dynamic multiobjective optimization research in the evolutionary computation community has increased the need for challenging and conceptually simple benchmark test suite to assess the optimization performance of an algorithm. This paper…
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Keywords:
test suite;
benchmark test;
optimization;
test ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3131808
Abstract: Deep learning (DL) brings autonomous vehicles (AVs) close to reality. However, the witness of many safety issues has raised a big concern about the reliability of AVs. To solve this problem, much research has been…
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Keywords:
deepsuite test;
autonomous vehicles;
suite optimizer;
test suite ... See more keywords
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Published in 2020 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v19.i2.pp992-999
Abstract: Test suite code coverage is usually used to indicate the capability of a test suite in detecting faults. Earlier research studies, which explored the relationship among test suite effectiveness and code coverage, have not addressed…
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Keywords:
test suite;
test suites;
code coverage;
test ... See more keywords