Rajaram, Hamsini Ketheswarasarma ORCID: 0000-0002-3294-3906, Loane, John, MacMahon, Silvana Togneri ORCID: 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 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Creative Commons: Attribution-Noncommercial-Share Alike 4.0 781kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record