Automatic bug localization using a combination of deep learning and model transformation through node classification

Bug localization is the task of automatically locating suspicious commands in the source code. Many automated bug localization approaches have been proposed for reducing costs and speeding up the bug localization process. These approaches allow developers to focus on critical commands. In this paper...

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Vydané v:	Software quality journal Ročník 31; číslo 4; s. 1045 - 1063
Hlavní autori:	Yousofvand, Leila, Soleimani, Seyfollah, Rafe, Vahid
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.12.2023 Springer Nature B.V
Predmet:	Algorithms Classification Compilers Computer Science Data Structures and Information Theory Deep learning Graph neural networks Graphs Interpreters Labels Localization Machine learning Nodes Operating Systems Programming Languages Software Engineering/Programming and Operating Systems Source code Deep learning Graph neural networks Bug localization Node classification
ISSN:	0963-9314, 1573-1367
On-line prístup:	Získať plný text
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