Software reliability: measurement, prediction, application
Software reliability: measurement, prediction, application
Handbook of software reliability engineering
Handbook of software reliability engineering
Software metrics (2nd ed.): a rigorous and practical approach
Software metrics (2nd ed.): a rigorous and practical approach
Can a Manufacturing Quality Model Work for Software?
IEEE Software
Issues in Automatic Software Manufacturing in the Presence of Generators
ASWEC '98 Proceedings of the Australian Software Engineering Conference
Successful Application of Software Reliability Engineering for the NASA Space Shuttle
ISSRE '97 Proceedings of the Eighth International Symposium on Software Reliability Engineering
Component-Based Software Engineering (CBSE)
SAST '97 Proceedings of the 5th International Symposium on Assessment of Software Tools (SAST '97)
The Use of Configuration Conception in Software Development
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
Contact center: information systems design
Journal of Intelligent Manufacturing
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The purpose of this paper is to provide the software engineer with tools from the field of manufacturing as an aid to improving software process and product quality. Process involves classical manufacturing methods, such as statistical quality control applied to product testing, which is designed to monitor and correct the process when the process yields product quality that fails to meet specifications. Product quality is measured by metrics, such as failure count occurring on software during testing. When the process and product quality are out of control, we show what remedial action to take to bring both the process and product under control. NASA Space Shuttle failure data are used to illustrate the process methods.