CoVeriTest with Adaptive Time Scheduling (Competition Contribution)

CoVeriTest, which is integrated in the analysis framework CPAchecker, adopts verification technology for test-case generation. It encodes individual test goals as reachability queries, which are then processed by verifiers. To increase the effectiveness on a broad class of testing tasks, CoVeriTest...

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Autores principales: Jakobs, Marie-Christine, Richter, Cedric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978792/
http://dx.doi.org/10.1007/978-3-030-71500-7_18
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author Jakobs, Marie-Christine
Richter, Cedric
author_facet Jakobs, Marie-Christine
Richter, Cedric
author_sort Jakobs, Marie-Christine
collection PubMed
description CoVeriTest, which is integrated in the analysis framework CPAchecker, adopts verification technology for test-case generation. It encodes individual test goals as reachability queries, which are then processed by verifiers. To increase the effectiveness on a broad class of testing tasks, CoVeriTest leverages the strengths of two different analyses: an explicit value analysis and predicate abstraction. Similar to TestComp’20, the two analyses are interleaved and the time duration of an interleaving segment is calculated dynamically. However, the calculation of the time duration focuses on the predicted future performance instead of the past performance, thus, rewarding analyses that likely cover open test goals.
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spelling pubmed-79787922021-03-23 CoVeriTest with Adaptive Time Scheduling (Competition Contribution) Jakobs, Marie-Christine Richter, Cedric Fundamental Approaches to Software Engineering Article CoVeriTest, which is integrated in the analysis framework CPAchecker, adopts verification technology for test-case generation. It encodes individual test goals as reachability queries, which are then processed by verifiers. To increase the effectiveness on a broad class of testing tasks, CoVeriTest leverages the strengths of two different analyses: an explicit value analysis and predicate abstraction. Similar to TestComp’20, the two analyses are interleaved and the time duration of an interleaving segment is calculated dynamically. However, the calculation of the time duration focuses on the predicted future performance instead of the past performance, thus, rewarding analyses that likely cover open test goals. 2021-02-24 /pmc/articles/PMC7978792/ http://dx.doi.org/10.1007/978-3-030-71500-7_18 Text en © The Author(s) 2021 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Jakobs, Marie-Christine
Richter, Cedric
CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title_full CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title_fullStr CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title_full_unstemmed CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title_short CoVeriTest with Adaptive Time Scheduling (Competition Contribution)
title_sort coveritest with adaptive time scheduling (competition contribution)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978792/
http://dx.doi.org/10.1007/978-3-030-71500-7_18
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