Rajaram, Hamsini Ketheswarasarma ORCID: 0000-0002-3294-3906, Loane, John, MacMahon, Silvana Togneri ORCID: 0000-0003-0179-2436 and McCaffery, Fergal (2019) A framework for taxonomy based testing using classification of defects in health software-SW91. In: Systems, Software and Services Process Improvement: 26th European Conference, EuroSPI 2019, 18-20 Sept 2019, Edinburgh, Scotland. ISBN 978-3030280048
Abstract
. Taxonomy based testing is an efficient approach to find software
defects at earlier phases of medical device software development. It allows the
creation of goal oriented test cases while brainstorming test ideas. This approach
is adaptable into standard testing processes such as the ISTQB and the 29119-2.
It uses a new standard, a defect taxonomy SW91 which is identified as a consensus standard by the US Food and Drug Administration (FDA). This paper
presents steps to be followed in implementing taxonomy based testing at a
medical device software organisation which follows the software development
process explained in IEC 62304:2006+A1:2015. Finally, the future work section
explains how this framework can be tailored to testing techniques and how its
efficiency and benefits will be evaluated via
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Taxonomy based testing; Defect taxonomy - Medical device software - IEC 62304:2006+A1:2015 ISTQB - 29119-2 |
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 Institutes and Centres > Lero: The Irish Software Engineering Research Centre |
Published in: | Walker, Alastair, O'Connor, Rory and Messnarz, Richard, (eds.) Systems, Software and Services Process Improvement: 26th European Conference, EuroSPI 2019. Communications in Computer and Information Science 1060. Springer. ISBN 978-3030280048 |
Publisher: | Springer |
Official URL: | https://doi.org/10.1007/978-3-030-28005-5_47 |
Copyright Information: | © 2019 Springer |
Funders: | Lero Science Foundation Ireland Research Centre for Software |
ID Code: | 28406 |
Deposited On: | 21 Jun 2023 12:35 by Silvana Macmahon . Last Modified 21 Jun 2023 13:05 |
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