ISESE '06 PDF Download

Author:
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 392

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Author: Pekka Abrahamsson
Publisher: Springer Science & Business Media
ISBN: 3540747656
Category : Business & Economics
Languages : en
Pages : 234

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This book constitutes the refereed proceeding of the 14th European Software Process Improvement Conference, EuroSPI 2007, held in Potsdam, Germany, in September 2007. The 18 revised full papers presented together with an introductory paper were carefully reviewed and selected from 60 submissions. The papers are organized in topical sections on enforcement, alignment, tailoring, focus on SME issues, improvement analysis and empirical studies, new avenues of SPI, SPI methodologies, as well as testing and reliability.

Author: Álvaro Rocha
Publisher: Springer
ISBN: 3319734504
Category : Technology & Engineering
Languages : en
Pages : 1170

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This book includes a selection of articles from the 2018 International Conference on Information Technology & Systems (ICITS 18), held on January 10 – 12, 2018, at the Universidad Estatal Península de Santa Elena, Libertad City, Ecuador. ICIST is a global forum for researchers and practitioners to present and discuss recent findings and innovations, current trends, lessons learned and the challenges of modern information technology and systems research, together with their technological development and applications. The main topics covered include information and knowledge management; organizational models and information systems; software and systems modeling; software systems, architectures, applications and tools; multimedia systems and applications; computer networks, mobility and pervasive systems; intelligent and decision support systems; big data analytics and applications; human–computer interaction; ethics, computers & security; health informatics; and information technologies in education.

Author: Andy Oram
Publisher: "O'Reilly Media, Inc."
ISBN: 144939776X
Category : Computers
Languages : en
Pages : 624

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Many claims are made about how certain tools, technologies, and practices improve software development. But which claims are verifiable, and which are merely wishful thinking? In this book, leading thinkers such as Steve McConnell, Barry Boehm, and Barbara Kitchenham offer essays that uncover the truth and unmask myths commonly held among the software development community. Their insights may surprise you. Are some programmers really ten times more productive than others? Does writing tests first help you develop better code faster? Can code metrics predict the number of bugs in a piece of software? Do design patterns actually make better software? What effect does personality have on pair programming? What matters more: how far apart people are geographically, or how far apart they are in the org chart? Contributors include: Jorge Aranda Tom Ball Victor R. Basili Andrew Begel Christian Bird Barry Boehm Marcelo Cataldo Steven Clarke Jason Cohen Robert DeLine Madeline Diep Hakan Erdogmus Michael Godfrey Mark Guzdial Jo E. Hannay Ahmed E. Hassan Israel Herraiz Kim Sebastian Herzig Cory Kapser Barbara Kitchenham Andrew Ko Lucas Layman Steve McConnell Tim Menzies Gail Murphy Nachi Nagappan Thomas J. Ostrand Dewayne Perry Marian Petre Lutz Prechelt Rahul Premraj Forrest Shull Beth Simon Diomidis Spinellis Neil Thomas Walter Tichy Burak Turhan Elaine J. Weyuker Michele A. Whitecraft Laurie Williams Wendy M. Williams Andreas Zeller Thomas Zimmermann

Author: Qing Wang
Publisher: Springer Science & Business Media
ISBN: 3540724257
Category : Business & Economics
Languages : en
Pages : 355

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Book Description
This book constitutes the refereed proceedings of the First International Conference on Software Process, held in Minneapolis, MN, USA, in May 2007. The 28 revised full papers presented together with the abstracts of two keynote addresses cover process content, process tools and metrics, process management, process representation, analysis and modeling, experience report, and simulation modeling.

Author: Jeffrey C. Carver
Publisher: CRC Press
ISBN: 1498743862
Category : Computers
Languages : en
Pages : 311

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Book Description
Software Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.

Author: Michele Marchesi
Publisher: Lulu.com
ISBN: 1446129845
Category : Computers
Languages : en
Pages : 67

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The 1st International Symposium on Emerging Trends in Software Metrics, held within XP 2009 Conference (10th International Conference on Agile Processes and eXtreme Programming in Software Engineering (www.xp2009.org).

Author: Stefan Wagner
Publisher: Springer Science & Business Media
ISBN: 3642385710
Category : Computers
Languages : en
Pages : 219

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Book Description
Quality is not a fixed or universal property of software; it depends on the context and goals of its stakeholders. Hence, when you want to develop a high-quality software system, the first step must be a clear and precise specification of quality. Yet even if you get it right and complete, you can be sure that it will become invalid over time. So the only solution is continuous quality control: the steady and explicit evaluation of a product’s properties with respect to its updated quality goals. This book guides you in setting up and running continuous quality control in your environment. Starting with a general introduction on the notion of quality, it elaborates what the differences between process and product quality are and provides definitions for quality-related terms often used without the required level of precision. On this basis, the work then discusses quality models as the foundation of quality control, explaining how to plan desired product qualities and how to ensure they are delivered throughout the entire lifecycle. Next it presents the main concepts and techniques of continuous quality control, discussing the quality control loop and its main techniques such as reviews or testing. In addition to sample scenarios in all chapters, the book is rounded out by a dedicated chapter highlighting several applications of different subsets of the presented quality control techniques in an industrial setting. The book is primarily intended for practitioners working in software engineering or quality assurance, who will benefit by learning how to improve their current processes, how to plan for quality, and how to apply state-of-the-art quality control techniques. Students and lecturers in computer science and specializing in software engineering will also profit from this book, which they can use in practice-oriented courses on software quality, software maintenance and quality assurance.

Author: Jay Liebowitz
Publisher: CRC Press
ISBN: 143987803X
Category : Business & Economics
Languages : en
Pages : 344

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Book Description
Recent research shows that collaboration and social networking foster knowledge sharing and innovation by sparking new connections, ideas, and practices. Yet these informal networks are often misunderstood and poorly managed. Building on the groundbreaking, bestselling first edition, Knowledge Management Handbook: Collaboration and Social Networking, Second Edition focuses on two key elements in knowledge management: collaboration and social networking. To Innovate, Connect the People Jay Liebowitz, one of the top knowledge management authorities in the world, brings together 15 articles by researchers and practitioners who are among the leaders in their fields. They present numerous applications, concepts, techniques, methodologies, issues, and trends related to collaboration and social networking in a knowledge management context. They also point out areas that need more work, such as how to measure the impact of knowledge-sharing efforts in terms of innovation, profits, and customer perceptions. What Can You Learn from Your Informal Organization? Packed with case studies, this handbook explores how you can share knowledge, make connections, and generate new ideas through collaboration and interaction. It is a valuable reference and classroom text for those engaged in knowledge management, particularly from a collaboration and social networking perspective.

Author: Sanjeev Sharma
Publisher: Springer Nature
ISBN: 9811946876
Category : Computers
Languages : en
Pages : 693

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Book Description
The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.