DocumentCode
2333545
Title
Measuring disruption from software evolution activities using graph-based metrics
Author
Paymal, Prashant ; Patil, Rajvardhan ; Bhowmick, Sanjukta ; Siy, Harvey
Author_Institution
Dept. of Comput. Sci., Univ. of Nebraska, Omaha, NE, USA
fYear
2011
fDate
25-30 Sept. 2011
Firstpage
532
Lastpage
535
Abstract
In this paper, we investigate how class relationships are disrupted after large scale changes. We use graphs to represent different software versions and study changes to graph properties. We explore different combinatorial metrics to measure the extent of disruption after perfective maintenance activities. Our early results, on JHotDraw, demonstrate that combinatorial metrics can provide a good indicator to the degree to which relationships are disrupted or preserved across different versions.
Keywords
graph theory; software metrics; JHotDraw; combinatorial metrics; disruption measurement; graph based metrics; graph properties; software evolution activities; Correlation; Electric breakdown; Maintenance engineering; Measurement; Social network services; Software systems; dynamic network analysis; graph theory; perfective maintenance;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Maintenance (ICSM), 2011 27th IEEE International Conference on
Conference_Location
Williamsburg, VI
ISSN
1063-6773
Print_ISBN
978-1-4577-0663-9
Electronic_ISBN
1063-6773
Type
conf
DOI
10.1109/ICSM.2011.6080825
Filename
6080825
Link To Document