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On the Use of Relevance Feedback in IR-based Concept Location

Date of Publication: 
September 2009
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Concept location is a critical activity during software evolution as it produces the location where a change is to start in response to a modification request, such as, a bug report or a new feature request. Lexical-based concept location techniques rely on matching the text embedded in the source code to queries formulated by the developers. The efficiency of such techniques is strongly dependent on the ability of the developer to write good queries. We propose an approach to augment information retrieval (IR) based concept location via an explicit relevance feedback (RF) mechanism. RF is a two-part process in which the developer judges existing results returned by a search and the IR system uses this information to perform a new search, returning more relevant information to the user. A set of case studies performed on open source software systems reveals the impact of RF on IR based concept location.
25th IEEE International Conference on Software Maintenance (ICSM 2009)
@inproceedings{DBLP:conf/icsm/GayHMM09, author = {Gregory Gay and Sonia Haiduc and Andrian Marcus and Tim Menzies}, title = {On the use of relevance feedback in IR-based concept location}, booktitle = {ICSM}, year = {2009}, pages = {351-360}, ee = {}, crossref = {DBLP:conf/icsm/2009}, bibsource = {DBLP,} } @proceedings{DBLP:conf/icsm/2009, title = {25th IEEE International Conference on Software Maintenance (ICSM 2009), September 20-26, 2009, Edmonton, Alberta, Canada}, booktitle = {ICSM}, publisher = {IEEE}, year = {2009}, bibsource = {DBLP,} }