DocumentCode
262155
Title
How Good Is Genetic Programming at Predicting Changes and Defects?
Author
Marinescu, Cristina
Author_Institution
HPC Center “Politeh.” Univ. Timisoara, West Univ. of Timisoara, Timisoara, Romania
fYear
2014
fDate
22-25 Sept. 2014
Firstpage
544
Lastpage
548
Abstract
One of the main problems practitioners have to deal with is the identification of change and defect proneness of source code entities (e.g., Classes). During the last years a lot of techniques have been employed for predicting change and defect proneness of classes. In this paper we study the capabilities of Genetic Programming for performing the addressed problem by measuring the precision and recall of the obtained predictions.
Keywords
genetic algorithms; program testing; software metrics; source code (software); class change proneness prediction; class defect proneness prediction; genetic programming; precision measurement; recall measurement; source code entities; Data mining; Genetic programming; Java; Measurement; Predictive models; Software; Software engineering; changes; defects; empirical software engineering; genetic programming; metrics; software repositories; source code;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4799-8447-3
Type
conf
DOI
10.1109/SYNASC.2014.78
Filename
7034728
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