Evaluating SZZ implementations : An empirical study on the Linux Kernel

• Main Authors: LYU, Yunbo, KANG, Hong Jin, WIDYASARI, Ratnadira, LAWALL, Julia, LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: SZZ algorithm; Defect prediction; Empirical study; ChatGPT; OS and Networks; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9849; https://ink.library.smu.edu.sg/context/sis_research/article/10849/viewcontent/2308.05060v2.pdf
• Institution: Singapore Management University

The SZZ algorithm is used to connect bug-fixing commits to the earlier commits that introduced bugs. This algorithm has many applications and many variants have been devised. However, there are some types of commits that cannot be traced by the SZZ algorithm, referred to as “ghost commits”. The eval...