WAVE-CIA

Authors :: Hareton Leung
Xiaobing Sun
Bixin Li
Qiandong Zhang
Source :: SAC
Publication Year :: 2013
Publisher :: ACM, 2013.
Abstract: Software change impact analysis (CIA) is a key technique to identify the potential effects caused by software changes. In this paper, a new graph mining based CIA technique is proposed, which takes the interference among multiple proposed changes into account to improve the precision of the impact results. Empirical evaluations on two real-world software projects demonstrate the effectiveness of our CIA technique.

Subjects :: Software
business.industry
Computer science
Graph (abstract data type)
Data mining
Change impact analysis
business
Call graph
computer.software_genre
computer

Database :: OpenAIRE
Journal :: Proceedings of the 28th Annual ACM Symposium on Applied Computing
Accession number :: edsair.doi...........3539618c5500f6a144d24961f335d4b6
Full Text :: https://doi.org/10.1145/2480362.2480554