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dc.contributor.authorZhang, Man
dc.contributor.authorBelhadi, Asma
dc.contributor.authorArcuri, Andrea
dc.date.accessioned2023-11-30T13:54:39Z
dc.date.available2023-11-30T13:54:39Z
dc.date.created2023-04-27T12:32:03Z
dc.date.issued2023
dc.identifier.citationACM Transactions on Software Engineering and Methodology. 2023, 32 (6).en_US
dc.identifier.issn1049-331X
dc.identifier.urihttps://hdl.handle.net/11250/3105454
dc.description.abstractJavaScript is one of the most popular programming languages. However, its dynamic nature poses several challenges to automated testing techniques. In this paper, we propose an approach and open-source tool support to enable white-box testing of JavaScript applications using Search-Based Software Testing (SBST) techniques. We provide an automated approach to collect search-based heuristics like the common Branch Distance and to enable Testability Transformations. To empirically evaluate our results, we integrated our technique into the EvoMaster test generation tool, and carried out analyses on the automated system testing of RESTful and GraphQL APIs. Experiments on eight Web APIs running on NodeJS show that our technique leads to significantly better results than existing black-box and grey-box testing tools, in terms of code coverage and fault detection.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.subjectJavaScript instrumentationen_US
dc.subjectNodeJSen_US
dc.subjectWhite-box test generationen_US
dc.subjectSBSTen_US
dc.subjectBabelen_US
dc.subjectFuzzeren_US
dc.titleJavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIsen_US
dc.title.alternativeJavaScript SBST Heuristics to Enable Effective Fuzzing of NodeJS Web APIsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber29en_US
dc.source.volume32en_US
dc.source.journalACM Transactions on Software Engineering and Methodologyen_US
dc.source.issue6en_US
dc.identifier.doi10.1145/3593801
dc.identifier.cristin2143813
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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