Using Time Series Models for Defect Prediction in Software Release Planning

To produce a high-quality software release, sufficient time should be allowed for testing and fixing defects. Otherwise, there is a risk of slip in the development schedule and/or software quality. A time series model is used to predict the number of bugs created during development. The model depends on the previous numbers of bugs created. The model also depends, in an exogenous manner, on the previous numbers of new features resolved and improvements resolved. This model structure would allow hypothetical release plans to be compared by assessing their predicted impact on testing and defect- fixing time. The VARX time series model was selected as a reasonable approach. The accuracy of the model varies for different sampling periods, window sizes, and degree of differencing.

Name thesis:degree_name

Master of Science (MS)

Discipline thesis:degree_discipline

Computational Science

Year dc:date.available

2015

Author dc:creator

• Tunnell, James W.

Contributors dc:contributor

• John K. Anvik
• Yvonne Chueh
• Kathryn Temple

• software release planning defect prediction time series model modeling
• Longitudinal Data Analysis and Time Series
• Software Engineering

Language dc:language

English

Repository record dc:identifier

https://digitalcommons.cwu.edu/etd/144

OAI identifier oai:identifier

oai:digitalcommons.cwu.edu:etd-1144