DocumentCode :
2415367
Title :
Investigating large software system evolution: the Linux kernel
Author :
Merlo, E. ; Dagenais, M. ; Bachand, P. ; Sormani, J.S. ; Gradara, S. ; Antoniol, G.
Author_Institution :
Res. Centre on Software Technol., Univ. of Sannio, Rome, Italy
fYear :
2002
fDate :
2002
Firstpage :
421
Lastpage :
426
Abstract :
Large multi-platform, multi-million lines of codes software systems evolve to cope with new platform or to meet user ever changing needs. While there has been several studies focused on the similarity of code fragments or modules, few studies addressed the need to monitor the overall system evolution. Meanwhile, the decision to evolve or to re-factor a large software system needs to be supported by high level information, representing the system overall picture, abstracting from unnecessary details. This paper proposes to extend the concept of similarity of code fragments to quantify similarities at the release/system level. Similarities are captured by four software metrics representative of the commonalities and differences within and among software artifacts. To show the feasibility of characterizing large software system with the new metrics, 365 releases of the Linux kernel were analyzed. The metrics, the experimental results as well as the lessons learned are presented in the paper.
Keywords :
project management; software development management; software maintenance; software metrics; Linux kernel; clone analysis; code fragments; large software system; project management; software evolution; software metrics; Cloning; Kernel; Linux; Monitoring; Project management; Software metrics; Software performance; Software quality; Software systems; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Software and Applications Conference, 2002. COMPSAC 2002. Proceedings. 26th Annual International
ISSN :
0730-3157
Print_ISBN :
0-7695-1727-7
Type :
conf
DOI :
10.1109/CMPSAC.2002.1045038
Filename :
1045038
Link To Document :
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