On the reduction of verbose queries in text retrieval based software maintenance

Author:

Chaparro Oscar1,Marcus Andrian1

Affiliation:

1. The University of Texas at Dallas, Richardson, TX

Funder

National Science Foundation

Publisher

ACM

Reference24 articles.

1. Online replication package: https://seers.utdallas.edu/projects/query-reduction-poster. Online replication package: https://seers.utdallas.edu/projects/query-reduction-poster.

2. What makes a good bug report?

3. Recovering from a decade: a systematic mapping of information retrieval approaches to software traceability

4. Information needs in bug reports

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1. On Using GUI Interaction Data to Improve Text Retrieval-based Bug Localization;Proceedings of the 46th IEEE/ACM International Conference on Software Engineering;2024-02-06

2. A Systematic Review of Automated Query Reformulations in Source Code Search;ACM Transactions on Software Engineering and Methodology;2023-09-28

3. Maximizing Bigdata Retrieval: Block as a Value for NoSQL over SQL;2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM);2022-11-10

4. The forgotten role of search queries in IR-based bug localization: an empirical study;Empirical Software Engineering;2021-08-23

5. Combining Query Reduction and Expansion for Text-Retrieval-Based Bug Localization;2021 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2021-03

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