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Chapter 7: PROJECT CONSTRUCTION -- I. MATERIAL IDENTIFICATION AND CONTROL -- II. CONTROL OF SPECIAL PROCESSES -- III. INSPECTION -- IV. HANDLING, STORAGE, AND SHIPPING -- V. NONCONFORMING MATERIALS, PARTS, OR COMPONENTS -- APPENDIX: AN ANALYSIS OF CORRECTIVE ACTION REPORTS GENERATED DURING A 3-YEAR PERIOD -- REFERENCES -- Chapter 8: CONTROL OFMEASURING AND TEST EQUIPMENT -- I. THE NEED FOR FORMAL CONTROL -- II. TRACEABILITY -- A. Definition of Traceability -- B. Purposes and Uses of Traceability -- C. Measurement Traceability and Standards Traceability -- D. The Question Posed to NBS -- E. NBS Advice on Traceability -- III. PROGRAM DESCRIPTION -- IV. SCOPE -- V. QUALITY LEVELS -- VI. CENTRALIZED CONTROL -- VII. CALIBRATION PROCEDURES -- IX. EVALUATION OF CALIBRATION SUPPLIERS -- REFERENCES -- Chapter 9: TEST CONTROL -- I. TEST PLAN -- II. TEST PROCEDURES -- III . DOCUMENTATION AND REVIEW OF RESULTS -- REFERENCES -- Chapter 10: SOFTWARE -- I. BACKGROUND -- II. THE SOFTWARE QUALITY ASSURANCE PROGRAM -- A. Planning -- B. Software Quality Levels and QA Plans -- C. Software Development Process -- D. Evaluation -- REFERENCES -- Chapter 11: RECORDS AND REPORTING -- I. PROJECT RECORDS -- II. REPORTS -- III. TRACEABILITY -- IV. RETENTION -- REFERENCES -- Chapter 12: AUDITING THE PROGRAM -- I. GENERAL AUDITING CONSIDERATIONS -- II. PROJECTS -- A. Specified QA -- B. Standard Laboratory Practice -- III. SYSTEM AUDITS -- IV. SUPPLIER AUDITS -- REFERENCES -- INDEX
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. - Focused on quality assurance at all levels of software design and development - Covers domain-specific software quality assurance issues e.g. for cloud, mobile, security, context-sensitive, mash-up and autonomic systems - Explains likely trade-offs from design decisions in the context of complex software system engineering and quality assurance - Includes practical case studies of software quality assurance for complex, adaptive and context-critical systems
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