Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0360-8352(99)00040-6
Title: Statistical method for controlling software defect detection process
Authors: Hong, G.Y.
Xie, M. 
Shanmugan, P.
Issue Date: Oct-1999
Source: Hong, G.Y., Xie, M., Shanmugan, P. (1999-10). Statistical method for controlling software defect detection process. Computers and Industrial Engineering 37 (1) : 137-140. ScholarBank@NUS Repository. https://doi.org/10.1016/S0360-8352(99)00040-6
Abstract: The quest for solutions to stay competitive in the marketplace brings software industries to take steps to control their products and processes by introducing metrics as part of their quality system and setting triggers for action when their capability limits are exceeded. Institutionalized software inspection and testing, together with previews and postmortems within each phase of the software development life cycle have been widely recognized as a solid foundation for defect prevention. However, there still lacks a systematic control mechanism for these defect detection activities. In this paper, a statistical method is proposed to control the software defect detection process together with further defect prevention analysis. This method is currently being piloted in the Motorola Singapore Software Centre.
Source Title: Computers and Industrial Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63343
ISSN: 03608352
DOI: 10.1016/S0360-8352(99)00040-6
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