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Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts

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Description:Software engineering deals with the development and delivery of high-quality software to users within time and budget. New software development technologies, techniques, tools, and empirical evidence are evolving continuously as a result of ever-changing business environments. At the same time software systems and code are becoming more complex. These factors are increasing the pressure to release high quality code to diverse markets in the shortest time under high level of uncertainties.In response to these challenging conditions, the software engineering research community is working to improve software engineering practices. Researchers are continuously publishing rigorous empirical studies, validated solutions, evaluated solutions, open source tools, experience reports and opinions that highlight innovations and advances in software engineering. Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts is an edited collection of chapters whose aim is to further the practice of developing and delivering high-quality software.The book presents relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing research challenges in the software engineering domain. It explores issues, techniques and practices relevant to software engineering research community. To foster collaboration among software engineering researchers, the book reports datasets related to various software engineering aspects as acquired systematically through scientific methods.Because software is so prevalent in contemporary organizations, the book has a broad range of readers that includes:Academics, scientists, and research who will learn about:Latest software engineering studies and how to teach themInnovating research linesFormulating research proposalsInnovating techniques, tools, and practices as employed in an organizational contextNew primary literature sourcesSoftware engineers who can use the book to:Adopt research techniques, tools, and practices in their working contextEvaluate the studies in the industrial context and adopt them to improve practiceManagement executives who will find insight on:Innovating software development strategy, practices, and policiesIncorporating interdisciplinary knowledge and practices used in other organization.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts. To get started finding Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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ISBN: 1000398846

Description: Software engineering deals with the development and delivery of high-quality software to users within time and budget. New software development technologies, techniques, tools, and empirical evidence are evolving continuously as a result of ever-changing business environments. At the same time software systems and code are becoming more complex. These factors are increasing the pressure to release high quality code to diverse markets in the shortest time under high level of uncertainties.In response to these challenging conditions, the software engineering research community is working to improve software engineering practices. Researchers are continuously publishing rigorous empirical studies, validated solutions, evaluated solutions, open source tools, experience reports and opinions that highlight innovations and advances in software engineering. Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts is an edited collection of chapters whose aim is to further the practice of developing and delivering high-quality software.The book presents relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing research challenges in the software engineering domain. It explores issues, techniques and practices relevant to software engineering research community. To foster collaboration among software engineering researchers, the book reports datasets related to various software engineering aspects as acquired systematically through scientific methods.Because software is so prevalent in contemporary organizations, the book has a broad range of readers that includes:Academics, scientists, and research who will learn about:Latest software engineering studies and how to teach themInnovating research linesFormulating research proposalsInnovating techniques, tools, and practices as employed in an organizational contextNew primary literature sourcesSoftware engineers who can use the book to:Adopt research techniques, tools, and practices in their working contextEvaluate the studies in the industrial context and adopt them to improve practiceManagement executives who will find insight on:Innovating software development strategy, practices, and policiesIncorporating interdisciplinary knowledge and practices used in other organization.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts. To get started finding Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts

Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts

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