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Benefits of defect taxonomies 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 (2017) Benefits of defect taxonomies and validation of a new defect classification for health software. In: 24th EuroAsiaSPI2 Conference - Selected Papers, 6 - 8 Sept 2017, Ostrava, Czech Republic. ISBN 978-3-9504505-0-7

Abstract
Defect-based testing is a powerful tool for finding errors in software, including medical device software. Many software manufacturers avoid this method because it requires a detailed defect taxonomy that is expensive to construct and difficult to validate. SW911 is new defect taxonomy for health software being developed by the Association for the Advancement of Medical Instrumentation. This paper explains how defect taxonomies have been used and the benefits to industry. The initial steps of the validation of SW91 include mapping vulnerabilities from the Common Weakness Enumeration and a dataset from a medical device software development company in Ireland. Finally, the paper details future plans for validation, including taxonomy based testing which will be used to validate the efficiency, reliability, ability to perform useful analyses and defect coverage of SW91.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Defect taxonomy; Defect Classification scheme for health software; Validation; Taxonomy based testing
Subjects:Computer Science > Information technology
Medical Sciences > Health
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > Lero: The Irish Software Engineering Research Centre
Published in: EuroAsiaSPI2 Blue Book Series Selected Papers. . Springer. ISBN 978-3-9504505-0-7
Publisher:Springer
Copyright Information:© 2017 The Authors
Funders:Science Foundation Ireland grant 13/RC/2094 and co-funded under the European Regional Development Fund through Ler - the Irish Software Research Centreo
ID Code:28403
Deposited On:21 Jun 2023 10:30 by Silvana Macmahon . Last Modified 21 Jun 2023 10:30
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