Using Software Metrics to Allocate Testing Resources

Abstract:Several methods of allocating testing resources among modules within a large software development project are examined and evaluated. The objective of each of the allocation schemes is to distribute resources across modules so that a uniform percentage of resources is allocated based on the predicted number of errors each module contains (i.e., resources per error are the same for each module). By far, the most uniform allocation of resources per error is obtained through the use of software complexity metrics. However, the allocation was not perfect in any of the strategies considered, suggesting that additional work must be performed to arrive at better approaches to allocation.Key Words and Phrases: Software testingsoftware metricsmanagement of software development Additional informationNotes on contributorsWarren HarrisonWarren Harrison is currently an Assistant Professor of Management Information Systems in the School of Business Administration at the University of Portland. His B.S. (accounting) is from the University of Nevada, Reno, his M.S. (computer science) is from the University of Missouri, Rolla, and his Ph.D. (computer science) is from Oregon State University. He has been a member of the Technical Staff with Bell Telephone Laboratories and a Visiting Computer Scientist with Lawrence Livermore National Laboratory. His publications have appeared in numerous journals, including the Communications of the ACM, Journal of Management Information Systems, Journal of Systems and Software, IEEE Computer, Software—Practice & Experience, ACM DataBase, and Journal of Systems Management. His current research interests involve the application of software complexity metrics to error prediction models, and extensible software tools.

• 저널Journal of Management Information Systems · 4(4) · 93–105
• 토픽Software Engineering Research · Information Systems
• DOI10.1080/07421222.1988.11517810
• 저자Warren Harrison