DocumentCode :
1970012
Title :
A model based on software quality factors which predicts maintainability
Author :
Wake, Steve ; Henry, Sallie
Author_Institution :
Dept. of Comput. Sci., Virginia Tech., Blacksburg, VA, USA
fYear :
1988
fDate :
24-27 Oct 1988
Firstpage :
382
Lastpage :
387
Abstract :
Software quality metric were developed to measure the complexity of software systems. The authors relate the complexity of the system as measured by software metrics to the amount of maintenance necessary to that system. The authors have developed a model which uses several software quality metrics as parameters to predict maintenance activity. A description is given of three classifications of metrics that are used to measure the quality of source code: code metrics, which measure physical characteristics of the software, such as length or number of tokens; structure metrics, which measure the connectivity of the software, such as the flow of information through the program and flow of control; and hybrid metrics, which are a combination of code and structure metrics
Keywords :
software engineering; software reliability; code metrics; complexity; connectivity; flow of control; flow of information; hybrid metrics; maintainability; physical characteristics; software metrics; software quality factors; structure metrics; tokens; Computer science; Costs; Error correction; Life estimation; Predictive models; Software maintenance; Software measurement; Software metrics; Software quality; Software systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Maintenance, 1988., Proceedings of the Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-0879-X
Type :
conf
DOI :
10.1109/ICSM.1988.10191
Filename :
10191
Link To Document :
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