A cost-effective and machine-learning-based method to identify and cluster redundant mutants in software mutation testing (Apr, 10.1007/s11227-024-06107-8, 2024)
dc.authorscopusid | Bahman Arasteh / 39861139000 | |
dc.authorscopusid | Ali Ghaffari / 57197223215 | |
dc.authorwosid | Bahman Arasteh / AAN-9555-2021 | |
dc.authorwosid | Ali Ghaffari / AAV-3651-2020 | |
dc.contributor.author | Arasteh, Bahman | |
dc.contributor.author | Ghaffari, Ali | |
dc.date.accessioned | 2025-04-18T08:20:19Z | |
dc.date.available | 2025-04-18T08:20:19Z | |
dc.date.issued | 2024 | |
dc.department | İstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Yazılım Mühendisliği Bölümü | |
dc.description.abstract | A Cost-effective and Machine-learning-based method to identify and cluster redundant mutants in software mutation testing (Apr, 10.1007/s11227-024-06107-8, 2024) | |
dc.identifier.citation | Arasteh, B., & Ghaffari, A. (2024). A Cost-effective and Machine-learning-based method to identify and cluster redundant mutants in software mutation testing. The Journal of Supercomputing, 1-33. | |
dc.identifier.doi | 10.1007/s11227-024-06180-z | |
dc.identifier.endpage | 19943 | |
dc.identifier.issn | 0920-8542 | |
dc.identifier.issn | 1573-0484 | |
dc.identifier.issue | 13 | |
dc.identifier.scopus | 2-s2.0-85193939566 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 19943 | |
dc.identifier.uri | http://dx.doi.org/10.1007/s11227-024-06180-z | |
dc.identifier.uri | https://hdl.handle.net/20.500.12713/6547 | |
dc.identifier.volume | 80 | |
dc.identifier.wos | WOS:001230123500002 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.institutionauthor | Arasteh, Bahman | |
dc.institutionauthor | Ghaffari, Ali | |
dc.institutionauthorid | Bahman Arasteh / 0000-0001-5202-6315 | |
dc.institutionauthorid | Ali Ghaffari / 0000-0001-5407-8629 | |
dc.language.iso | en | |
dc.publisher | Springer | |
dc.relation.ispartof | Journal of supercomputing | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/closedAccess | |
dc.title | A cost-effective and machine-learning-based method to identify and cluster redundant mutants in software mutation testing (Apr, 10.1007/s11227-024-06107-8, 2024) | |
dc.type | Article |
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