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Using statistical control charts for software quality control
Author(s) -
Gardiner John S.,
Montgomery Douglas C.
Publication year - 1987
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.4680030104
Subject(s) - control chart , statistical process control , computer science , software , software development , shewhart individuals control chart , software quality , software quality control , process (computing) , data mining , ewma chart , programming language
Abstract This paper describes the use of Shewhart U charts for controlling software quality while the software is under development. A parallel between the software development process and a complex manufacturing process is developed. This allows the use of statistical control charts to monitor the software development process. The general approach is to let observed defect data represent a sample of the true but unknown state of the entire software project. Software quality data so obtained can be used to derive a meaningful statistical interpretation of the state of the development project. Based upon this interpretation management can take action to improve the overall software quality while in the development stages.

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