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Taxonomy Based Testing and Validation of a new Defect Classification for Health Software
Ketheswarasarma Rajaram, Hamsini; Loane, John; MacMahon, Silvana Togneri; McCaffery, Fergal
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 (AAMI) is developing SW911, 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, ability to perform useful analyses and defect coverage of SW91.
Keyword(s): Computer Science; Computer Software; Defect taxonomy, Defect Classification scheme for health software, Validation, Taxonomy based testing, Testing
Publication Date:
2018
Type: Journal article
Peer-Reviewed: Yes
Institution: Dundalk Institute of Technology
Citation(s): Ketheswarasarma Rajaram, Hamsini and Loane, John and MacMahon, Silvana Togneri and McCaffery, Fergal (2018) Taxonomy Based Testing and Validation of a new Defect Classification for Health Software. Journal of Software: Evolution and Process (1985). ISSN 2047-7481
Publisher(s): Wiley
File Format(s): application/pdf
Related Link(s): http://eprints.dkit.ie/628/1/Reviewed%20Taxonomy%20Based%20Testing%20and%20Validation%20of%20a%20new%20Defect%20Classification%20for%20Health%20Software.pdf
First Indexed: 2019-01-12 06:58:24 Last Updated: 2019-01-12 06:58:24