Software quality assurance : in large scale and complex software-intensive systems / edited by Ivan Mistrik ... [et.al].
Material type: TextPublication details: Waltham, MA : Elsevier, c2016.Description: xlii, 373 p. : ill. ; 24 cmISBN:- 9780128023013
- 005.140685 SOF 23
- QA76.76.Q35 S625 2016
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005.133 WEI Data structures & algorithm analysis in C++ / | 005.133 WEI Data structures & algorithm analysis in C++ / | 005.136 KAD 8085 অ্যাসেমব্লি ল্যাআঙ্গুয়েজ প্রোগ্রামিং/ | 005.140685 SOF Software quality assurance : | 005.2 INT Introduction to parallel computing / | 005.2 INT Introduction to parallel computing / | 005.2 INT Introduction to parallel computing / |
Includes bibliographical references and indexes.
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.
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