Type of Document Master's Thesis Author Wake, Steven A. URN etd-06102012-040345 Title Predicting maintainability with software quality metrics Degree Master of Science Department Computer Science and Applications Advisory Committee
Advisor Name Title Henry, Sallie M. Committee Chair Hartson, H. Rex Committee Member Kafura, Dennis G. Committee Member Keywords
- Software engineering
Date of Defense 1988-09-15 Availability restricted AbstractMaintenance of software makes up a large fraction of the time and money spent in the software life
cycle. By reducing the need for maintenance these costs can also be reduced. Predicting where
maintenance is likely to occur can, help to reduce maintenance by prevention. This thesis details a
study of the use of software quality;metrics to determine high complexity components in a software
system. By the use of a history of maintenance done on a particular system, it is shown that a
predictor equation can be developed to identify components which needed maintenance activities.
This same equation can also be used to determine which components are likely to need maintenance
in the future. Through the use of.these predictions and software metric complexities it should
be possible to reduce the likelihood of a component needing maintenance. This might be accomplished
by reducing the complexity of that component through further decomposition.
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