ILLOD Replication Package: An Open-Source Framework for Abbreviation-Expansion Pair Detection and Term Consolidation in Requirements
Kurt Schneider;Fabiano Dalpiaz;Jennifer Horkoff (Hrsg). Proceedings of the 31st International Requirements Engineering Conference RE 2023; 4 - 8 September 2023, Hannover, Germany. Los Alamitos, CA: IEEE Computer Society 2023 S. 369 - 370
Erscheinungsjahr: 2023
ISBN/ISSN: 979-8-3503-2690-1
Publikationstyp: Diverses (Konferenzbeitrag)
Sprache: Englisch
Doi/URN: 10.1109/RE57278.2023.00056
Geprüft | Bibliothek |
Inhaltszusammenfassung
ILLOD is a tool for detecting abbreviation-expansion pairs (AEPs) in requirement sets. It utilizes syntactic features such as Initial Letters, term Lengths, Order, and Distribution of characters to determine if a term is a potential long form to a given abbreviation. The artifact bundles all source code and data resources to replicate evaluation results presented for ILLOD in two research papers published at the REFSQ2022 Conference and in the Information and Software Technology (IST) journal...ILLOD is a tool for detecting abbreviation-expansion pairs (AEPs) in requirement sets. It utilizes syntactic features such as Initial Letters, term Lengths, Order, and Distribution of characters to determine if a term is a potential long form to a given abbreviation. The artifact bundles all source code and data resources to replicate evaluation results presented for ILLOD in two research papers published at the REFSQ2022 Conference and in the Information and Software Technology (IST) journal. In addition, ILLOD can be used to detect AEPs, perform abbreviation detection, and the input data-set can be used for further research in requirements engineering or other related fields. The repository is organized into different directories containing data, Python sources, and notebooks for experiments and evaluations. Detailed instructions are provided to load and use the tool on a local system, and the results generated by ILLOD are stored in output files. The tool demonstrates its effectiveness in detecting AEPs and consolidating glossary terms, and the evaluation results provide insights into the performance of different classifiers. The artifact repository is a valuable resource for researchers and practitioners in the field of requirements engineering and related areas.» weiterlesen» einklappen