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Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms.

, , , , , and . SANER, page 314-325. IEEE Computer Society, (2016)

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Which Feature Location Technique is Better?, , , , , and . ICSM, page 408-411. IEEE Computer Society, (2013)Supporting and accelerating reproducible empirical research in software evolution and maintenance using TraceLab Component Library., , , , and . Empir. Softw. Eng., 20 (5): 1198-1236 (2015)An adaptive approach to impact analysis from change requests to source code., , , and . ASE, page 540-543. IEEE Computer Society, (2011)A dataset from change history to support evaluation of software maintenance tasks., , , and . MSR, page 131-134. IEEE Computer Society, (2013)Configuring topic models for software engineering tasks in TraceLab., , , , , , and . TEFSE@ICSE, page 105-109. IEEE Computer Society, (2013)How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms., , , , , and . ICSE, page 522-531. IEEE Computer Society, (2013)An empirical study on the developers' perception of software coupling., , , , , and . ICSE, page 692-701. IEEE Computer Society, (2013)Enhancing Software Traceability by Automatically Expanding Corpora with Relevant Documentation., , , , and . ICSM, page 320-329. IEEE Computer Society, (2013)A TraceLab-based solution for creating, conducting, and sharing feature location experiments., , and . ICPC, page 203-208. IEEE Computer Society, (2012)Using Data Fusion and Web Mining to Support Feature Location in Software., , and . ICPC, page 14-23. IEEE Computer Society, (2010)