Evaluation of Quality, Effectiveness, and Reproducibility of AI-Generated Unit Tests Through Mutation Testing Techniques

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος:	Evaluation of Quality, Effectiveness, and Reproducibility of AI-Generated Unit Tests Through Mutation Testing Techniques
Συγγραφείς:	Mnich, Michał^Aff9, Roman, Adam^Aff9, Pośpieszny, Arkadiusz^Aff9
Συνεισφορές:	Hartmanis, Juris, Founding Editor^Aff1, Goos, Gerhard, Founding Editor^Aff2, Bertino, Elisa, Series Editor^Aff3, Gao, Wen, Series Editor^Aff4, Steffen, Bernhard, Series Editor^Aff5, Yung, Moti, Series Editor^Aff6, Berger, Christian, editor^Aff7, Klös, Verena, editor^Aff8
Πηγή:	Software Engineering and Advanced Applications : 52nd Euromicro Conference, SEAA 2026, Kraków, Poland, September 2–4, 2026, Proceedings, Part I. 16863:471-487
Βάση Δεδομένων:	Springer Nature eBooks

Περιγραφή
ISBN:	9783032365897 9783032365903
DOI:	10.1007/978-3-032-36590-3_33