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PROVIDING A FRAMEWORK FOR EFFECTIVE SOFTWARE QUALITY MEASUREMENT: MAKING A SCIENCE OF RISK ASSESSMENT
Author(s) -
Martin Robert A.,
Shafer Lawrence H.
Publication year - 1996
Publication title -
incose international symposium
Language(s) - English
Resource type - Journals
ISSN - 2334-5837
DOI - 10.1002/j.2334-5837.1996.tb02136.x
Subject(s) - quality (philosophy) , quality assurance , software quality assurance , software , government (linguistics) , focus (optics) , risk analysis (engineering) , computer science , software quality , field (mathematics) , engineering management , software quality analyst , engineering , process management , management science , software development , business , operations management , philosophy , epistemology , programming language , linguistics , external quality assessment , physics , mathematics , optics , pure mathematics
Software quality assessment is a field that is coming into greater focus as the global drive for systemic quality assurance continues to gather momentum. Many forces are at play, from the pressures of consolidations, mergers, and downsizing, to the emergence of new technologies which are sparking renewed looks at re‐engineering in business and government, particularly the advances in user interface capabilities endemic to the PC and distributed processing economic explosions. These developments and forces have led to our creation of a quality assessment methodology which harnesses the results of program analysis techniques to generate a timely analysis that can be productively used to focus management attention on the fundamental quality issues within their software systems. This approach has been used successfully for more than 75 system evaluations as part of source selection or project management studies.