Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Taxonomy‐based testing and validation of a new defect classification for health software

Rajaram, Hamsini Ketheswarasarma orcid logoORCID: 0000-0002-3294-3906, Loane, John, MacMahon, Silvana Togneri orcid logoORCID: 0000-0003-0179-2436 and McCaffery, Fergal orcid logoORCID: 0000-0002-0839-8362 (2018) Taxonomy‐based testing and validation of a new defect classification for health software. Journal of Software: Evolution and Process, 31 (1). ISSN 2047-7481

Defect‐based testing is a powerful tool for finding errors in software. Many software manufacturers avoid this method because it requires a detailed defect taxonomy that is expensive to construct and difficult to validate. The Association for the Advancement of Medical Instrumentation is developing SW91,* a defect taxonomy to be published as a standard for health software. This paper details three methods to validate SW91 for its comprehensiveness. The initial validations of SW91 were conducted via mapping vulnerabilities from the common weakness enumeration and a dataset from a medical device software development company in Ireland. Taxonomy‐based testing is another validation method proposed in this research, and its applicability was investigated using empirical data from a medical device software development company in Ireland. Finally, the paper details future plans to implement taxonomy‐based testing to improve software quality in medical device software and to validate SW91. This validation will focus on the efficiency, reliability, and ability to perform useful analyses and defect coverage of SW91.
Item Type:Article (Published)
Uncontrolled Keywords:Defect taxonomy; Defect Classification scheme for health software; Validation; Taxonomy based testing; Testing
Subjects:Computer Science > Information technology
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > Lero: The Irish Software Engineering Research Centre
Official URL:https://doi.org/10.1002/smr.1985
Copyright Information:© 2018 Wiley
Funders:Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund via Lero
ID Code:28398
Deposited On:02 Jun 2023 13:33 by Silvana Macmahon . Last Modified 02 Jun 2023 13:45

Full text available as:

[thumbnail of Reviewed Taxonomy Based Testing and Validation of a new Defect Classification for Health Software.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial-Share Alike 4.0


Downloads per month over past year

Archive Staff Only: edit this record