DocumentCode :
1074894
Title :
Cyclomatic complexity density and software maintenance productivity
Author :
Gill, Geoffrey K. ; Kemerer, Chris F.
Author_Institution :
Sloan Sch. of Manage., MIT, Cambridge, MA, USA
Volume :
17
Issue :
12
fYear :
1991
fDate :
12/1/1991 12:00:00 AM
Firstpage :
1284
Lastpage :
1288
Abstract :
A study of the relationship between the cyclomatic complexity metric (T. McCabe, 1976) and software maintenance productivity, given that a metric that measures complexity should prove to be a useful predictor of maintenance costs, is reported. The cyclomatic complexity metric is a measure of the maximum number of linearly independent circuits in a program control graph. The current research validates previously raised concerns about the metric on a new data set. However, a simple transformation of the metric is investigated whereby the cyclomatic complexity is divided by the size of the system in source statements. thereby determining a complexity density ratio. This complexity density ratio is demonstrated to be a useful predictor of software maintenance productivity on a small pilot sample of maintenance projects
Keywords :
software maintenance; software metrics; complexity density ratio; cyclomatic complexity metric; data set; linearly independent circuits; program control graph; software maintenance productivity; Circuits; Control systems; Productivity; Programming; Software engineering; Software maintenance; Software measurement; Software metrics; Software performance; Software quality;
fLanguage :
English
Journal_Title :
Software Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-5589
Type :
jour
DOI :
10.1109/32.106988
Filename :
106988
Link To Document :
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