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Software measurement --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering

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Software measurement --- Computer software --- Development --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering

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Six Sigma improves both product and process quality, eliminating defects using a suite of tools that span: statistical; analytical; and collaborative domains. The six sigma nomenclatures cross over different languages and cultures with improved understanding and exactness. Six Sigma improves our every day processes. The Six Sigma process has been extended to take the initiative in developing better designs that avoid problems rather than having to go back and correct them. This is the Design-for-Six Sigma (DFSS) initiative. It focuses on getting correct requirements; communicating these effectively across the team; examining and managing the design and environment anomalies; and flowing down tolerances from the system level to the component levels (also known as critical parameter management). Recently, the practices within DFSS have been further extended from Hardware Reliability to Software Quality and Reliability, and for that matter, to other aspects of product development including: Portfolio and Marketing Analysis; Technology Research and Development; Product Commercialization; Supply Chain and other support functions. These processes have been shown to deliver products with as few as 3-4 defects per million opportunities, such as seen on space shuttle software or commercial aircraft flights in the US.

Software measurement. --- Six sigma. --- Software quality. --- Software tools. --- Software reliability. --- Collaborations. --- Failure analysis. --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering

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Computer networks --- Software measurement. --- Management --- Management. --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering --- Xarxes d'ordinadors --- Gestió

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This book seeks to promote the structured, standardized and accurate use of software measurement at all levels of modern software development companies. To do so, it focuses on seven main aspects: sound scientific foundations, cost-efficiency, standardization, value-maximization, flexibility, combining organizational and technical aspects, and seamless technology integration. Further, it supports companies in their journey from manual reporting to automated decision support by combining academic research and industrial practice. When scientists and engineers measure something, they tend to focus on two different things. Scientists focus on the ability of the measurement to quantify whatever is being measured; engineers, however, focus on finding the right qualities of measurement given the designed system (e.g. correctness), the system’s quality of use (e.g. ease of use), and the efficiency of the measurement process. In this book, the authors argue that both focuses are necessary, and that the two are complementary. Thus, the book is organized as a gradual progression from theories of measurement (yes, you need theories to be successful!) to practical, organizational aspects of maintaining measurement systems (yes, you need the practical side to understand how to be successful). The authors of this book come from academia and industry, where they worked together for the past twelve years. They have worked with both small and large software development organizations, as researchers and as measurement engineers, measurement program leaders and even teachers. They wrote this book to help readers define, implement, deploy and maintain company-wide measurement programs, which consist of a set of measures, indicators and roles that are built around the concept of measurement systems. Based on their experiences introducing over 40,000 measurement systems at over a dozen companies, they share essential tips and tricks on how to do it right and how to avoid common pitfalls.

Software engineering. --- Software measurement. --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering --- Computer software engineering --- Engineering --- Management information systems. --- Information Systems. --- Software Engineering. --- Software Management. --- Management of Computing and Information Systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Communication systems --- Computer science. --- Informatics --- Science