Document Type

Thesis

Date of Degree Completion

Spring 2015

Degree Name

Master of Science (MS)

Department

Computational Science

Committee Chair

John K. Anvik

Second Committee Member

Yvonne Chueh

Third Committee Member

Kathryn Temple

Abstract

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.

Comments

Please feel free to contact me if you are interested in conducting related work. The best way is probably through my GitHub page, https://github.com/jamestunnell.

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