Impact of Large Language Models of Code on Fault Localization

Identifying the point of error is imperative in software debugging. Traditional fault localization (FL) techniques rely on executing the program and using the code coverage matrix in tandem with test case results to calculate a suspiciousness score for each method or line. Recently, learning-based F...

Celý popis

Podrobná bibliografie

Vydáno v:	2025 IEEE Conference on Software Testing, Verification and Validation (ICST) s. 302 - 313
Hlavní autoři:	Ji, Suhwan, Lee, Sanghwa, Lee, Changsup, Han, Yo-Sub, Im, Hyeonseung
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 31.03.2025
Témata:	Benchmark testing Codes Computer architecture Deep Learning Fault Localization Feature extraction Fine-Tuning Large Language Model of Code Large language models Location awareness Software debugging Software engineering Software testing Source coding Vulnerability Detection
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!