Combining Single-Version and Evolutionary Dependencies for Software-Change Prediction (1920)
| Venue: | in Proceedings of 4th International Workshop on Mining Software Repositories (MSR'07) (Minneapolis, MN |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Kagdi20combiningsingle-version,
author = {Huzefa Kagdi and Jonathan I. Maletic},
title = {Combining Single-Version and Evolutionary Dependencies for Software-Change Prediction},
booktitle = {in Proceedings of 4th International Workshop on Mining Software Repositories (MSR'07) (Minneapolis, MN},
year = {1920}
}
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Abstract
The paper advocates the need for the investigation and development of a software-change prediction methodology that combines the change sets estimated from software dependency analysis (via single-version analysis) and the actual change sets found in software version histories (via multiple-version analysis). Traditionally prescribed methodologies such as Impact Analysis (IA) are based on the former, whereas a more recent methodology, Mining Software Repository (MSR), is based on the latter. The research hypothesis is that combining these two methodologies will result in an overall improved support for software-change prediction. 1.
