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A framework for taxonomy based testing using classification of defects in health software-SW91

Rajaram, Hamsini Ketheswarasarma orcid logoORCID: 0000-0002-3294-3906, Loane, John, MacMahon, Silvana Togneri orcid logoORCID: 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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