WAVE-CIA: a novel CIA approach based on call graph mining

  • Authors:
  • Bixin Li;Qiandong Zhang;Xiaobing Sun;Hareton Leung

  • Affiliations:
  • Southeast University, Nanjing, China and Chinese Academy of Sciences, Beijing, China;Southeast University, Nanjing, China and Chinese Academy of Sciences, Beijing, China;Southeast University, Nanjing, China and Chinese Academy of Sciences, Beijing, China;Hong Kong Polytechnic University, Hong Kong, China

  • Venue:
  • Proceedings of the 28th Annual ACM Symposium on Applied Computing
  • Year:
  • 2013

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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.