May 19, 2021 � We evaluate the identified bug-inducing changes based on three criteria from prior research, i.e., the earliest bug appearance, the future�...
In this paper, we conduct an empirical study on the results of the SZZ approach when used to identify the inducing changes of the non-functional bugs in the�...
This paper conducts an empirical study on the results of the SZZ approach when used to identify the inducing changes of the non-functional bugs in the�...
May 6, 2021 � An Empirical Study on the Use of SZZ for Identifying Inducing Changes of Non-functional Bugs. This work was accepted for publication under�...
May 29, 2024 � We further evaluated the effectiveness of ChatGPT in boosting the SZZ algorithm's ability to identify bug-inducing commits in the function�...
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An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs � Computer Science. Empirical Software Engineering � 2021.
An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs.
An empirical study on the use of SZZ for identifying inducing changes of non-functional bugs. Empirical Software Engineering. 2021-07 | Journal article.
Nov 29, 2021 � Our manual study shows that a large portion of non-functional bugs cannot be properly identified by the SZZ approach. We uncover root causes for�...
Jan 18, 2022 � The SZZ algorithm is the de facto standard for labeling bug fixing commits and finding inducing changes for defect prediction data.