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State of the Art in Software Quality Assurance by Nandakumar, R.; Lal, A. K.; Parmar, R. M. is a Computer Science article available to read on EtoBox.

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The authors present a summary of their understanding of the publications that appeared in the computing literature during the last five-year period, with the word quality as part of their title and dealing with some or other aspects of software quality assurance. Specifically, the summary covers the following eight sub-topics, viz., (i) quality models; (ii) timely QA feedback; (iii) quantitative approaches to predicting software quality and the effectiveness of software QA; (iv) optimal choice of QA methods; (v) design level QA; (vi) impact of parallel development options on software quality; (vii) continued QA efforts even after the operational deployment of the software product; and (viii) use of CASE tools and perceived value for QA at NASA JPL. This digest also includes summaries of three short papers describing ongoing research on (i) prioritizing QA efforts; (ii) QA in an Agile development context; and (iii) presenting the software quality status to stakeholders during development. Major trends observed in the summary pertain to (i) continuing software QA efforts even after the operational deployment of the software product, which may also be pertinent to the proliferation of

Who reads State of the Art in Software Quality Assurance?

Author

Nandakumar, R.; Lal, A. K.; Parmar, R. M.

Publisher

Association for Computing Machinery; Association for Computing Machinery (ACM) (ISSN 0163-5948)

Published

2014

Language

EN

Field

Computer Science (Physical Sciences)