Predicting software product quality

Predicting software product quality. Real-time and historic software code metrics, software code defect data for the software product, and test case-related data for the software product are received. A feature predicted fallibility that estimates the number of code defects for a new feature of the...

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Bibliographic Details
Main Authors Chitale Poonam P, Mohammadi-Rashedi Shahin, Pavela Thomas J, Sadowski Marian E, D'Angelo Dario, Rhodes Jeffrey S, Cox Catherine M, Jiang Xiyao
Format Patent
LanguageEnglish
Published 11.04.2017
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Predicting software product quality. Real-time and historic software code metrics, software code defect data for the software product, and test case-related data for the software product are received. A feature predicted fallibility that estimates the number of code defects for a new feature of the software product, a product version projected fallibility that estimates the number of code defects for a new version of a software product, a test case related quality coefficient that estimates the likelihood of discovery of code defects in a new feature, a feature quality and a product quality indexes that are qualitative indications of quality of the new code of a feature and the new product version, are calculated. A report is then output that includes at least the calculated values, whereby developer resources are directed to features of the software product for which the calculated values indicate likelihoods of a high defect densities.
Bibliography:Application Number: US201514865384