- author = "Cristina Marinescu",
- title = "How Good is Genetic Programming at Predicting Changes and Defects?",
- booktitle = "11th Workshop on Natural Computing and Applications",
- year = "2014",
- editor = "Siby Abraham and Catalin Stoean",
- pages = "544--548",
- address = "Timisoara, Romania",
- month = sep # " 22-25",
- keywords = "genetic algorithms, genetic programming, SBSE, source code, changes, defects, metrics, software repositories, empirical software engineering",
-
DOI = "
doi:10.1109/SYNASC.2014.78",
- size = "5 pages",
- 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.",
- notes = "http://synasc.ro/2014",
-
notes = "
In the framework of SYNASC 2014 http://synasc.ro/2014/workshops/nca-2014/ Also known as \cite{7034728}",
