Authors | L. Moonen, T. G. Rolfsnes, D. Binkley and S. Di Alesio |
Title | What are the Effects of History Length and Age on Mining Software Change Impact? |
Afilliation | Software Engineering |
Project(s) | evolveIT: Evidence-Based Recommendations to Guide the Evolution of Component-Based Product Families, The Certus Centre (SFI) |
Status | Published |
Publication Type | Journal Article |
Year of Publication | 2018 |
Journal | Journal of Empirical Software Engineering (EMSE) |
Volume | 23 |
Issue | 4 |
Pagination | 2362-2397 |
Date Published | 03/2018 |
Publisher | Springer |
ISSN | 1382-3256 |
Keywords | association rule mining, change impact analysis, evolutionary coupling, parameter tuning |
Abstract | The goal of Software Change Impact Analysis is to identify artifacts In this paper, we empirically investigate the effects of history |
URL | http://link.springer.com/10.1007/s10664-017-9588-z |
DOI | 10.1007/s10664-017-9588-z |
Citation Key | moonen:2018:effects |