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Tue 22 Mar 2022 11:00 - 11:45 at Conference Room 3 - Machine Learning for RE Chair(s): Dan Berry

[Context and motivation] Providing precise definitions of all project specific terms is a crucial task in requirements engineering. In order to support the glossary building process, many previous tools rely on the assumption that the requirements set has a certain level of quality. [Question/problem] Yet, the parallel detection and correction of quality weaknesses in the context of glossary terms is beneficial to requirements definition. In this paper, we focus on detection of uncontrolled usage of abbreviations by identification of abbreviation-expansion pair (AEP) candidates. [Principal ideas/results] We compare our feature-based approach (ILLOD) to other similarity measures to detect AEPs. It shows that feature-based methods are more accurate than syntactic and semantic similarity measures. The goal is to extend the glossary term extraction (GTE) and synonym clustering with AEP-specific methods. To evaluate our detection approach, the PROMISE requirements dataset is extended with 30 uncontrolled abbreviations without knowledge to the authors. ILLOD successfully extracted 28 of these abbreviations and correctly matched 25 pairs. [Contribution] In this paper, we present ILLOD, a novel feature-based approach to AEP detection and propose a workflow to its integration to clustering of glossary term candidates. First experiments show that ILLOD is well suited to augment previous term clusters with clusters that combine AEP candidates.

Tue 22 Mar

Displayed time zone: London change

11:00 - 12:30
Machine Learning for REResearch Papers at Conference Room 3
Chair(s): Dan Berry University of Waterloo
Abbreviation-Expansion Pair Detection for Glossary Term ExtractionScientific Evaluation
Research Papers
Hussein Hasso Fraunhofer FKIE, Katharina Großer University of Koblenz-Landau, Iliass Aymaz Fraunhofer FKIE, Hanna Geppert Fraunhofer FKIE, Jan Jürjens University of Koblenz-Landau
A Zero-Shot Learning Approach to Classifying Requirements: Preliminary StudyResearch Preview
Research Papers
Waad Alhoshan Al-Imam Mohammed Ibn Saud Islamic University, Liping Zhao University of Manchester, Alessio Ferrari CNR-ISTI, Keletso J. Letsholo Higher Colleges of Technology