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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-30116
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dc.contributor.authorErni, Nicolas-
dc.contributor.authorAl-Ameen, Mohammed-
dc.contributor.authorBirchler, Christian-
dc.contributor.authorDerakhshanfar, Pouria-
dc.contributor.authorLukasczyk, Stephan-
dc.date.accessioned2024-03-04T17:00:17Z-
dc.date.available2024-03-04T17:00:17Z-
dc.date.issued2024-
dc.identifier.isbn979-8-4007-0562-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/30116-
dc.description.abstractTest case generation (TCG) for Python poses distinctive challenges due to the language’s dynamic nature and the absence of strict type information. Previous research has successfully explored automated unit TCG for Python, with solutions outperforming random test generation methods. Nevertheless, fundamental issues persist, hindering the practical adoption of existing test case generators. To address these challenges, we report on the organization, challenges, and results of the first edition of the Python Testing Competition. Four tools, namely UTBotPython, Klara, Hypothesis Ghostwriter, and Pynguin were executed on a benchmark set consisting of 35 Python source files sampled from 7 open-source Python projects for a time budget of 400 seconds. We considered one configuration of each tool for each test subject and evaluated the tools’ effectiveness in terms of code and mutation coverage. This paper describes our methodology, the analysis of the results together with the competing tools, and the challenges faced while running the competition experiments.de_CH
dc.language.isoende_CH
dc.publisherZHAW Zürcher Hochschule für Angewandte Wissenschaftende_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectTool competitionde_CH
dc.subjectSoftware testingde_CH
dc.subjectTest case Generationde_CH
dc.subjectPythonde_CH
dc.subjectSearch based software engineeringde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleSBFT tool competition 2024 : Python test case generation trackde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.48550/arXiv.2401.15189de_CH
dc.identifier.doi10.21256/zhaw-30116-
zhaw.conference.details17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024de_CH
zhaw.funding.euinfo:eu-repo/grantAgreement/EC/H2020/957254//DevOps for Complex Cyber-physical Systems/COSMOSde_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statusacceptedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedSoftware Engineeringde_CH
zhaw.funding.zhawCOSMOS – DevOps for Complex Cyber-physical Systems of Systemsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
zhaw.relation.referenceshttps://zenodo.org/records/10559329de_CH
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Erni, N., Al-Ameen, M., Birchler, C., Derakhshanfar, P., & Lukasczyk, S. (2024). SBFT tool competition 2024 : Python test case generation track. 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024. https://doi.org/10.48550/arXiv.2401.15189
Erni, N. et al. (2024) ‘SBFT tool competition 2024 : Python test case generation track’, in 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.48550/arXiv.2401.15189.
N. Erni, M. Al-Ameen, C. Birchler, P. Derakhshanfar, and S. Lukasczyk, “SBFT tool competition 2024 : Python test case generation track,” in 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024, 2024. doi: 10.48550/arXiv.2401.15189.
ERNI, Nicolas, Mohammed AL-AMEEN, Christian BIRCHLER, Pouria DERAKHSHANFAR und Stephan LUKASCZYK, 2024. SBFT tool competition 2024 : Python test case generation track. In: 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024. Conference paper. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 2024. ISBN 979-8-4007-0562-5
Erni, Nicolas, Mohammed Al-Ameen, Christian Birchler, Pouria Derakhshanfar, and Stephan Lukasczyk. 2024. “SBFT Tool Competition 2024 : Python Test Case Generation Track.” Conference paper. In 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.48550/arXiv.2401.15189.
Erni, Nicolas, et al. “SBFT Tool Competition 2024 : Python Test Case Generation Track.” 17th International Workshop on Search-Based and Fuzz Testing (SBFT), Lisbon, Portugal, 14-20 April 2024, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2024, https://doi.org/10.48550/arXiv.2401.15189.


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