Test adequacy assessment using test-defect coverage analytic model

Syed-Mohamad, SM; Haron, NH; McBride, T

Test adequacy assessment using test-defect coverage analytic model

Syed-Mohamad, SM Haron, NH McBride, T

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Publication Type:: Journal Article
Citation:: Journal of Telecommunication, Electronic and Computer Engineering, 2017, 9 (3-5 Special Issue), pp. 191 - 196
Issue Date:: 2017-01-01

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Field	Value	Language
dc.contributor.author	Syed-Mohamad, SM	en_US
dc.contributor.author	Haron, NH	en_US
dc.contributor.author	McBride, T https://orcid.org/0000-0002-9038-7952	en_US
dc.date.available	2020-05-25T19:05:12Z
dc.date.issued	2017-01-01	en_US
dc.identifier.citation	Journal of Telecommunication, Electronic and Computer Engineering, 2017, 9 (3-5 Special Issue), pp. 191 - 196	en_US
dc.identifier.issn	2180-1843	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127163
dc.description.abstract	Software testing is an essential activity in software development process that has been widely used as a means of achieving software reliability and quality. The emergence of incremental development in its various forms required a different approach to determining the readiness of the software for release. This approach needs to determine how reliable the software is likely to be based on planned tests, not defect growth and decline as typically shown in reliability growth models. A combination of information from a number of sources into an easily understood dashboard is expected to provide both qualitative and quantitative analyses of test and defect coverage properties. Hence, Test-Defect Coverage Analytic Model (TDCAM) is proposed which combines test and defect coverage information presented in a dashboard to help deciding whether there are enough tests planned. A case study has been conducted to demonstrate the usage of the proposed model. The visual representations and results gained from the case study show the benefits of TDCAM in assisting practitioners making informed test adequacy-related decisions.	en_US
dc.relation.ispartof	Journal of Telecommunication, Electronic and Computer Engineering	en_US
dc.title	Test adequacy assessment using test-defect coverage analytic model	en_US
dc.type	Journal Article
utslib.citation.volume	3-5 Special Issue	en_US
utslib.citation.volume	9	en_US
utslib.for	0803 Computer Software	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	open_access
pubs.issue	3-5 Special Issue	en_US
pubs.publication-status	Published	en_US
pubs.volume	9	en_US

Abstract:

Software testing is an essential activity in software development process that has been widely used as a means of achieving software reliability and quality. The emergence of incremental development in its various forms required a different approach to determining the readiness of the software for release. This approach needs to determine how reliable the software is likely to be based on planned tests, not defect growth and decline as typically shown in reliability growth models. A combination of information from a number of sources into an easily understood dashboard is expected to provide both qualitative and quantitative analyses of test and defect coverage properties. Hence, Test-Defect Coverage Analytic Model (TDCAM) is proposed which combines test and defect coverage information presented in a dashboard to help deciding whether there are enough tests planned. A case study has been conducted to demonstrate the usage of the proposed model. The visual representations and results gained from the case study show the benefits of TDCAM in assisting practitioners making informed test adequacy-related decisions.

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http://hdl.handle.net/10453/127163