Software quality assurance in large scale and complex software-intensive systems / edited by Ivan Mistrik, Richard Soley, Nour Ali, John Grundy, Bedir Tekinerdogan.

Format Electronic
Publication InfoWaltham, Mass. : Morgan Kaufmann, [2016]
Descriptionxlii, 373 pages : illustrations ; 24 cm.
Supplemental ContentFull text available from eBook - Computer Science 2015 [EBCCS15]
Subjects

Other author/creatorMistrík, Ivan.
Other author/creatorSoley, Richard Mark.
Other author/creatorAli, Nour.
Other author/creatorGrundy, John, Ph. D.
Other author/creatorTekinerdogan, Bedir, 1970-
Abstract Software Quality Assurance in Large Scale and Complex Software-intensive Systems presents novel and high-quality research related approaches that relate the quality of software architecture to system requirements, system architecture and enterprise-architecture, or software testing. Modern software has become complex and adaptable due to the emergence of globalization and new software technologies, devices and networks. These changes challenge both traditional software quality assurance techniques and software engineers to ensure software quality when building today (and tomorrow's) adaptive, context-sensitive, and highly diverse applications. This edited volume presents state of the art techniques, methodologies, tools, best practices and guidelines for software quality assurance and offers guidance for future software engineering research and practice. Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited, to: quality attributes of system/software architectures; aligning enterprise, system, and software architecture from the point of view of total quality; design decisions and their influence on the quality of system/software architecture; methods and processes for evaluating architecture quality; quality assessment of legacy systems and third party applications; lessons learned and empirical validation of theories and frameworks on architectural quality; empirical validation and testing for assessing architecture quality.
Bibliography noteIncludes bibliographical references and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2017288121
ISBN9780128023013
ISBN0128023015

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