Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10367093 | Information and Software Technology | 2013 | 17 Pages |
Abstract
As the product line matures, the learner performance improves significantly for two of the three datasets, but not for prediction of post-release failure-prone files using only pre-release change data. This suggests that it may be difficult to detect failure-prone files in the evolving product line. At least in part, this may be due to the continuous change, even for commonalities and high-reuse variation components, which we previously have shown to exist.
Related Topics
Physical Sciences and Engineering
Computer Science
Human-Computer Interaction
Authors
Sandeep Krishnan, Chris Strasburg, Robyn R. Lutz, Katerina Goseva-Popstojanova, Karin S. Dorman,