International Business Machines Corporation

Jeffrey S Rhodes

Dario D'Angelo

Thomas J Pavela

Poonam Parijat Chitale

Catherine M Cox

Shahin Mohammadi-Rashedi

Xiyao Jiang

Marian E Sadowski

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.

Predicting software product quality

Growing community of inventors

San Jose, CA, United States of America

Jeffrey S Rhodes