Advertisement
Published in:
2013 | OriginalPaper | Chapter
Text Retrieval Approaches for Concept Location in Source Code
Authors : Andrian Marcus, Sonia Haiduc
Published in: Software Engineering
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Concept location in source code is an essential activity during software change. It starts with a change request and results in a place in the source code where the change is to be implemented. As a program comprehension activity, it is also part of other software evolution tasks, such as, bug localization, recovery of traceability links between software artifacts, retrieving software components for reuse, etc. While concept location is primarily a human activity, tool support is necessary given the large amount of information encoded in source code. Many such tools rely on text retrieval techniques and help developers perform concept location much like document retrieval on web. This paper presents and discusses the applications of text retrieval to support concept location, in the context of software change.