An eclectic approach for change impact analysis

Michele Ceccarelli, Luigi Cerulo, Gerardo Canfora, Massimiliano Di Penta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

27 Citations (Scopus)

Abstract

Change impact analysis aims at identifying software artifacts being affected by a change. In the past, this problem has been addressed by approaches relying on static, dynamic, and textual analysis. Recently, techniques based on historical analysis and association rules have been explored. This paper proposes a novel change impact analysis method based on the idea that the mutual relationships between software objects can be inferred with a statistical learning approach. We use the bivariate Granger causality test, a multivariate time series forecasting approach used to verify whether past values of a time series are useful for predicting future values of another time series. Results of a preliminary study performed on the Samba daemon show that change impact relationships inferred with the Granger causality test are complementary to those inferred with association rules. This opens the road towards the development of an eclectic impact analysis approach conceived by combining different techniques.

Original languageEnglish
Title of host publicationICSE 2010 - Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering
Pages163-166
Number of pages4
DOIs
Publication statusPublished - 23 Jul 2010
Externally publishedYes
Event32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010 - Cape Town, South Africa
Duration: 1 May 20108 May 2010

Publication series

NameProceedings - International Conference on Software Engineering
Volume2
ISSN (Print)0270-5257

Other

Other32nd ACM/IEEE International Conference on Software Engineering, ICSE 2010
CountrySouth Africa
CityCape Town
Period1/5/108/5/10

    Fingerprint

Keywords

  • change impact analysis
  • mining software repositories

ASJC Scopus subject areas

  • Software

Cite this

Ceccarelli, M., Cerulo, L., Canfora, G., & Di Penta, M. (2010). An eclectic approach for change impact analysis. In ICSE 2010 - Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering (pp. 163-166). (Proceedings - International Conference on Software Engineering; Vol. 2). https://doi.org/10.1145/1810295.1810320