Automatic query reformulation for code search using crowdsourced knowledge

Ministry of Education, Singapore under its Academic Research Funding Tier

Improving Traceability Links Recovery in Process Models Through an Ontological Expansion of Requirements.

[EN] Often, when requirements are written, parts of the domain knowledge are assumed by the domain experts and not formalized in writing, but nevertheless used to build software artifacts. This issue, known as tacit knowledge, affects the performance of Traceability Links Recovery. Through this work we propose LORE, a novel approach that uses Natural Language Processing techniques along with an Ontological Requirements Expansion process to minimize the impact of tacit knowledge on TLR over process models. We evaluated our approach through a real-world industrial case study, comparing its outcomes against those of a baseline. Results show that our approach retrieves improved results for all the measured performance indicators. We studied why this is the case, and identified some issues that affect LORE, leaving room for improvement opportunities. We make an open-source implementation of LORE publicly available in order to facilitate its adoption in future studies.This work has been partially supported by the Ministry of Economy and Competitiveness and ERDF funds under the project Model-Driven Variability Extraction for Software Product Lines Adoption (TIN2015-64397-R). We also thank the ITEA3 15010 REVaMP2 Project.Lapeña, R.; Pérez Pérez, MF.; Cetina Englada, C.; Pastor López, O. (2019). Improving Traceability Links Recovery in Process Models Through an Ontological Expansion of Requirements. Springer. 261-275. https://doi.org/10.1007/978-3-030-21290-2_17S261275Abeles, P.: Efficient Java Matrix Library (2017). http://ejml.org/ . Accessed 9 Nov 2017Apache: OpenNLP Toolkit for the Processing of Natural Language Text (2017). https://opennlp.apache.org/ . Accessed 12 Nov 2017Arora, C., Sabetzadeh, M., Briand, L., Zimmer, F.: Extracting domain models from natural-language requirements: approach and industrial evaluation. 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