DocumentCode
2454950
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
fYear
2012
fDate
5-5 June 2012
Firstpage
52
Lastpage
56
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/RAISE.2012.6227971
Filename
6227971
Link To Document