Successful software depends not only on technical excellence but on how members of the software team work together. Written in easy to understand language by a leading expert in the field, this ground-breaking volume provides an overview of the team culture required to develop quality software. Reflecting the different views on the nature of software quality, the book helps groups in a software team to communicate more effectively and to overcome the conflict created by their different perceptions of quality. You learn the roles and activities of team members (including customers) throughout the life of a software product, from before the software development starts and during the software development lifecycle, to after the software has been deployed and is in use.

Software quality is a generalised statement difficult to agree or disagree with until a precise definition of the concept of "Software Quality" is reached in terms of measurable quantities. Unfortunately, for the software technology the basic question of: • what to measure; • how to measure; • when to measure; • how to deal with the data obtained are still unanswered and are also closely dependant on the field of application. In the past twenty years or more there have been a number of conferences and debates focusing on the concept of Software Quality, which produced no real industrial impact. Recently, however, the implementation of a few generic standards (ISO 9000, IEEE etc.) has produced and improved application of good practice principles at the industrial level. As a graduate in PhYSiCS, I still believe it is a long way before the concept of Software Quality can be defined exactly and measured, if ever. This is way I think the AQuIS series of conferences is important, its object begin to provide a platform for the transfer of technology and know how between Academic, Industrial and Research Institutions, in the field of Software Quality. Their objects are: • to provide a forum for the introduction and discussion of new research breakthroughs in Software Quality; • to provide professional Software Quality engineers with the necessary exposure to the results of current research; • to expose the research community to the problems of practical application of new results.

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

The rapid growth in use of programmable technology, in nearly all sectors of Engineering, is a well-known established trend and one which there is every reason to believe will continue into the foreseeable future. The drivers of this trend include cost, flexibility, rich functionality and certain reliability and safety advantages. However, as explained in this book, these advantages have to be carefully weighed against a number of dis advantages which, amongst other things, have fundamental implications for reliability and safety. Ideally, a programmable system would be viewed as a fusion of hardware, software and user (or 'skinware'), operating under a set of environmental conditions. To date, such a unifying model does not exist and so hardware, software and human factors are still considered largely as three separate disciplines, albeit with certain interdependencies. Established techniques are available which enable the engineer to develop systems comprising purely hardware components to a prescribed reliability and performance. Software, however, is fundamentally different in a number of ways, and does not lend itself to equivalent analysis. A major problem with software is its poor 'visibility', and consequently the great difficulty in understanding and predicting its behaviour in all cir cumstances. This results in the ever-present software design flaws, or 'bugs', which have plagued the software industry from its beginnings.

With forty well structured and easy to follow topics to choose from, each workbook has a wide range of case studies, questions and activities to meet both an individual or organization's training needs. Whether studying for an ILM qualification or looking to enhance the skills of your employees, Super Series provides essential solutions, frameworks and techniques to support management and leadership development.

System Quality and Software Architecture collects state-of-the-art knowledge on how to intertwine software quality requirements with software architecture and how quality attributes are exhibited by the architecture of the system. Contributions from leading researchers and industry evangelists detail the techniques required to achieve quality management in software architecting, and the best way to apply these techniques effectively in various application domains (especially in cloud, mobile and ultra-large-scale/internet-scale architecture) Taken together, these approaches show how to assess the value of total quality management in a software development process, with an emphasis on architecture. The book explains how to improve system quality with focus on attributes such as usability, maintainability, flexibility, reliability, reusability, agility, interoperability, performance, and more. It discusses the importance of clear requirements, describes patterns and tradeoffs that can influence quality, and metrics for quality assessment and overall system analysis. The last section of the book leverages practical experience and evidence to look ahead at the challenges faced by organizations in capturing and realizing quality requirements, and explores the basis of future work in this area. Explains how design decisions and method selection influence overall system quality, and lessons learned from theories and frameworks on architectural quality Shows how to align enterprise, system, and software architecture for total quality Includes case studies, experiments, empirical validation, and systematic comparisons with other approaches already in practice.

This book provides an understanding and imaging of how a stress-free workplace might be designed and implemented in the context of the ‘new normal.’ Statistics show that more and more people are experiencing an increase in work-related stress, and its impact on individual psychology and well-being as well as organizational performance can be devastating. Globally, the most recent data on work-related illnesses account for 2.4 million deaths. Against this backdrop, and taking stock of how the pandemic is affecting the workplace and employee well-being, this book proposes transformations in work spaces, from implementing effective “greening” features, to more efficient technology-supported spaces. It establishes links between workplace design and creativity, happiness and productivity, confronting related issues such as generation gaps, digital interruptions, collaborative work environments and sustainability, and their respective connections with workspace environment and well-being. The book situates this discussion within a broader discussion on work and quality of life. Furthermore, the book demonstrates how several sustainable development goals might be achieved through transformed work spaces. Through an intersection between organizational psychology, well-being and quality of life studies, sociology, human resources, and ergonomics, this book is a timely examination of work-related stress in relation to work spaces that require rethinking and transformation in the throes, and wake, of the pandemic.