Rajaram, Hamsini Ketheswarasarma ORCID: 0000-0002-3294-3906, Loane, John, MacMahon, Silvana Togneri ORCID: 0000-0003-0179-2436 and McCaffery, Fergal ORCID: 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
Abstract
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.
Metadata
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
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 |
Publisher: | Wiley |
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 |
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