A Source Code Change Impact Analysis Algorithm for Iterative Software Development

Authors:
Jerod W. Wilkerson
Affiliations:
Department of Information Systems, Sam and Irene Black School of Business, Sam and Irene Black School of Business, Penn State Erie, Erie, PA, USA
Venue:
International Journal of Decision Support System Technology
Year:
2012

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Abstract

CHA-AS is a source code change impact analysis algorithm for Java programs. CHA-AS differs from other algorithms in that it does not require the program versions it compares to be whole programs with a well-defined program entry point. The need for such an algorithm is evident in iterative software development projects and projects involving the development of code libraries and frameworks-all of which may not have a well-defined program entry point at the time when change impact analysis needs to be performed. The CHA-AS algorithm supports the development of Decision Support Systems for software development managers and programmers working on iterative software development projects, or projects to develop source code libraries and frameworks. This paper describes the CHA-AS algorithm and demonstrates it to be efficient and effective in calculating source code change impact.