Incremental Approach and User Feedbacks: a Silver Bullet for Traceability Recovery
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
Source Code Exploration with Google
ICSM '06 Proceedings of the 22nd IEEE International Conference on Software Maintenance
IEEE Transactions on Software Engineering
Estimating the Query Difficulty for Information Retrieval
Estimating the Query Difficulty for Information Retrieval
Towards mining replacement queries for hard-to-retrieve traces
Proceedings of the IEEE/ACM international conference on Automated software engineering
Portfolio: finding relevant functions and their usage
Proceedings of the 33rd International Conference on Software Engineering
A Survey of Automatic Query Expansion in Information Retrieval
ACM Computing Surveys (CSUR)
Automatic query performance assessment during the retrieval of software artifacts
Proceedings of the 27th IEEE/ACM International Conference on Automated Software Engineering
Automatic query reformulations for text retrieval in software engineering
Proceedings of the 2013 International Conference on Software Engineering
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Developers search source code frequently during their daily tasks, to find pieces of code to reuse, to find where to implement changes, etc. Code search based on text retrieval (TR) techniques has been widely used in the software engineering community during the past decade. The accuracy of the TR-based search results depends largely on the quality of the query used. We introduce Refoqus, an Eclipse plugin which is able to automatically detect the quality of a text retrieval query and to propose reformulations for it, when needed, in order to improve the results of TR-based code search. A video of Refoqus is found online at http://www.youtube.com/watch?v=UQlWGiauyk4.