Supporting software maintenance by mining software update records

Author

Shirabad, Jelber Sayyad ; Lethbridge, Timothy C. ; Matwin, Stan

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada

fYear

2001

fDate

2001

Firstpage

22

Lastpage

31

Abstract

This paper describes the application of inductive methods to data extracted from both source code and software maintenance records. We would like to extract relations that indicate which files in, a legacy system, are relevant to each other in the context of program maintenance. We call these relations maintenance relevance relations. Such a relation could reveal existing complex interconnections among files in the system, which may in turn be useful in comprehending them. We discuss the methodology we employed to extract and evaluate the relations. We also point out some of the problems we encountered and our solutions for them. Finally, we present some of the results that we have obtained

Keywords

data mining; knowledge based systems; reverse engineering; software maintenance; data mining; inductive methods; knowledge based systems; maintenance relevance relations; reverse engineering; software maintenance; software update records mining; Control systems; Data mining; Identity-based encryption; Information technology; Knowledge based systems; Programming profession; Reverse engineering; Software engineering; Software maintenance; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Maintenance, 2001. Proceedings. IEEE International Conference on

Conference_Location

Florence

ISSN

1063-6773

Print_ISBN

0-7695-1189-9

Type

conf

DOI

10.1109/ICSM.2001.972708

Filename

972708