DocumentCode
3406817
Title
A preliminary investigation of using age and distance measures in the detection of evolutionary couplings
Author
Alali, Abdula ; Bartman, Brian ; Newman, Christian D. ; Maletic, Jonathan I.
Author_Institution
Dept. of Comput. Sci., Kent State Univ. Kent, Kent, OH, USA
fYear
2013
fDate
18-19 May 2013
Firstpage
169
Lastpage
172
Abstract
An initial study of using two measures to improve the accuracy of evolutionary couplings uncovered from version history is presented. Two measures, namely the age of a pattern and the distance among items within a pattern, are defined and used with the traditional methods for computing evolutionary couplings. The goal is to reduce the number of false positives (i.e., inaccurate or irrelevant claims of coupling). Initial observations are presented that lend evidence that these measures may have the potential to improve the results of computing evolutionary couplings.
Keywords
software maintenance; age measures; distance measures; evolutionary coupling detection; item distance; pattern age; version history; Couplings; Data mining; History; Itemsets; Maintenance engineering; Market research; Software; Evolutionary Coupling; Software Repositories;
fLanguage
English
Publisher
ieee
Conference_Titel
Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
Conference_Location
San Francisco, CA
ISSN
2160-1852
Print_ISBN
978-1-4799-0345-0
Type
conf
DOI
10.1109/MSR.2013.6624024
Filename
6624024
Link To Document