2000•Conference of the Centre for Advanced Studies on Collaborative ResearchRequires access

Supporting maintenance of legacy software with data mining techniques

Jelber Sayyad Shirabad, Timothy C. Lethbridge, Stan Matwin

Abstract

Software maintenance is a very costly and time consuming part of the software life cycle. The problems with software maintenance are even more pressing in the case of legacy software systems. This paper describes our research towards application of inductive methods to the data extracted from source code, software maintenance records, and software developers activities to learn a Maintenance Relevance Relation among files in a software system. We discuss the methodology employed, and some of the encountered problems and our solutions for them. The paper will also present some of the results that we have obtained.

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Available abstract

Key concepts: Software maintenance, Computer science, Backporting, Software construction, Software analytics, Software engineering, Software development, Legacy system