An unsupervised cross project model for crashing fault residence identification

• Published in: IET software Vol. 16; no. 6; pp. 630 - 646
• Main Authors: Liu, Xiao, Xu, Zhou, Yang, Dan, Yan, Meng, Zhang, Weihan, Zhao, Haohan, Xue, Lei, Fan, Ming
• Format: Journal Article
• Language: English
• Published: Wiley 01.12.2022

It is a critical quality assurance activity to effectively detect the root cause of faults causing the software crashes (i.e. crashing faults). Previous studies extracted features to characterise crash instances and built models to identify whether the residences of crashing faults locate inside the...