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
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;
Conference_Titel :
Mining Software Repositories (MSR), 2013 10th IEEE Working Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4799-0345-0
DOI :
10.1109/MSR.2013.6624024