Title :
On software engineering repositories and their open problems
Author :
Rodriguez, Daniel ; Herraiz, Israel ; Harrison, Rachel
Author_Institution :
Univ. of Alcala, Alcala de Henares, Spain
Abstract :
In the last decade, a large number of software repositories have been created for different purposes. In this paper we present a survey of the publicly available repositories and classify the most common ones as well as discussing the problems faced by researchers when applying machine learning or statistical techniques to them.
Keywords :
information resources; learning (artificial intelligence); software engineering; statistical analysis; machine learning; open problems; publicly available repositories; software engineering repositories; statistical techniques; Data mining; Estimation; Measurement; Open source software; Software algorithms; Software engineering; data quality; preprocessing software engineering data; quality; software engineering repositories;
Conference_Titel :
Realizing Artificial Intelligence Synergies in Software Engineering (RAISE), 2012 First International Workshop on
Conference_Location :
Zurich
Print_ISBN :
978-1-4673-1752-8
DOI :
10.1109/RAISE.2012.6227971
