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A compendium and evaluation of taxonomy quality attributes
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. (SERL)ORCID iD: 0000-0003-4118-0952
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering. (SERL)ORCID iD: 0000-0001-8142-9631
2023 (English)In: Expert systems (Print), ISSN 0266-4720, E-ISSN 1468-0394, Vol. 40, no 1, article id e13098Article in journal (Refereed) Published
Abstract [en]

Introduction: Taxonomies capture knowledge about a particular domain in a succinct manner and establish a common understanding among peers. Researchers use taxonomies to convey information about a particular knowledge area or to support automation tasks, and practitioners use them to enable communication beyond organizational boundaries. Aims: Despite this important role of taxonomies in software engineering, their quality is seldom evaluated. Our aim is to identify and define taxonomy quality attributes that provide practical measurements, helping researchers and practitioners to compare taxonomies and choose the one most adequate for the task at hand. Methods: We reviewed 324 publications from software engineering and information systems research and synthesized, when provided, the definitions of quality attributes and measurements. We evaluated the usefulness of the measurements on six taxonomies from three domains. Results: We propose the definition of seven quality attributes and suggest internal and external measurements that can be used to assess a taxonomy’s quality. For two measurements we provide implementations in Python. We found the measurements useful for deciding which taxonomy is best suited for a particular purpose. Conclusion: While there exist several guidelines for creating taxonomies, there is a lack of actionable criteria to compare taxonomies. In this paper, we fill this gap by synthesizing from a wealth of literature seven, non‐overlapping taxonomy quality attributes and corresponding measurements. Future work encompasses their further evaluation of usefulness and empirical validation.

Place, publisher, year, edition, pages
John Wiley & Sons, 2023. Vol. 40, no 1, article id e13098
Keywords [en]
evaluation, measurements, quality attributes, taxonomy
National Category
Software Engineering
Identifiers
URN: urn:nbn:se:bth-23499DOI: 10.1111/exsy.13098ISI: 000822883400001Scopus ID: 2-s2.0-85133700489OAI: oai:DiVA.org:bth-23499DiVA, id: diva2:1686174
Part of project
SERT- Software Engineering ReThought, Knowledge FoundationD-CAT – Digital Collaboration and Automized Tracing Of Information, Swedish Transport Administration
Funder
Swedish Transport Administration, D-CATKnowledge Foundation, 20180010Available from: 2022-08-08 Created: 2022-08-08 Last updated: 2023-02-08Bibliographically approved

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Unterkalmsteiner, MichaelAbdeen, Waleed

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CiteExportLink to record
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