The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.04 - April (1985 vol.11)
pp: 317-324
V.Y. Shen , Department of Computer Sciences, Purdue University
ABSTRACT
A major portion of the effort expended in developing commercial software today is associated with program testing. Schedule and/ or resource constraints frequently require that testing be conducted so as to uncover the greatest number of errors possible in the time allowed. In this paper we describe a study undertaken to assess the potential usefulness of various product-and process-related measures in identifying error-prone software. Our goal was to establish an empirical basis for the efficient utilization of limited testing resources using objective, measurable criteria. Through a detailed analysis of three software products and their error discovery histories, we have found simple metrics related to the amount of data and the structural complexity of programs to be of value for this purpose.
INDEX TERMS
software metrics, Defect density, error-prone modules, probability of errors, program testing, software errors
CITATION
V.Y. Shen, null Tze-jie Yu, S.M. Thebaut, L.R. Paulsen, "Identifying Error-Prone Software?An Empirical Study", IEEE Transactions on Software Engineering, vol.11, no. 4, pp. 317-324, April 1985, doi:10.1109/TSE.1985.232222
24 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool