CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Tags

Mining Software Engineering Data

by: Tao Xie, Jian Pei, Ahmed E. Hassan
Software Engineering - Companion, 2007. ICSE 2007 Companion. 29th International Conference on In Software Engineering - Companion, 2007. ICSE 2007 Companion. 29th International Conference on (May 2007), pp. 172-173, doi:10.1109/icsecompanion.2007.50  Key: citeulike:4762139

Formatted Citation


Show HTML

Likes (beta)

This copy of the article hasn't been liked by anyone yet.

View FullText article


Abstract

Software engineering data (such as code bases, exe- cution traces, historical code changes, mailing lists, and bug databases) contains a wealth of information about a project¿s status, progress, and evolution. Using well- established data mining techniques, practitioners and re- searchers can explore the potential of this valuable data in order to better manage their projects and to produce higher-quality software systems that are delivered on time and within budget. This tutorial presents the latest research in mining Soft- ware Engineering (SE) data, discusses challenges associ- ated with mining SE data, highlights SE data mining suc- cess stories, and outlines future research directions. Partic- ipants will acquire knowledge and skills needed to perform research or conduct practice in the field and to integrate data mining techniques in their own research or practice.


dhein1030's tags for this article

Citations (CiTO)

No CiTO relationships defined

X There are no reviews yet

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History


X Export records

Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.