Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book illustrates how goal-oriented, automated measurement can be used to create Lean organizations and to facilitate the development of Lean software, while also demonstrating the practical implementation of Lean software development by combining tried and trusted tools. In order to be successful, a Lean orientation of software development has to go hand in hand with a company’s overall business strategy. To achieve this, two interrelated aspects require special attention: measurement and experience management. In this book, Janes and Succi provide the necessary knowledge to establish “Lean software company thinking,” while also exploiting the latest approaches to software measurement. A comprehensive, company-wide measurement approach is exactly what companies need in order to align their activities to the demands of their stakeholders, to their business strategy, etc. With the automatic, non-invasive measurement approach proposed in this book, even small and medium-sized enterprises that do not have the resources to introduce heavyweight processes will be able to make their software development processes considerably more Lean. The book is divided into three parts. Part I, “Motivation for Lean Software Development,” explains just what “Lean Production” means, why it can be advantageous to apply Lean concepts to software engineering, and which existing approaches are best suited to achieving this. Part II, “The Pillars of Lean Software Development,” presents the tools needed to achieve Lean software development: Non-invasive Measurement, the Goal Question Metric approach, and the Experience Factory. Finally, Part III, “Lean Software Development in Action,” shows how different tools can be combined to enable Lean Thinking in software development. The book primarily addresses the needs of all those working in the field of software engineering who want to understand how to establish an efficient and effective software development process. This group includes developers, managers, and students pursuing an M.Sc. degree in software engineering.

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

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Our world and our society are shaped and increasingly governed by software. Since software is so ubiquitous and embedded in nearly everything we are doing, we need to stay in control. We have to make sure that the systems and their software are running as we intend - or better. Software measurement is the discipline that assures that we stay in control. In this volume, Ebert and Dumke provide a comprehensive introduction to software measurement. They detail knowledge and experiences about software measurement in an easily understood, hands-on presentation. Brief references are embedded from world-renown experts such as Alain Abran, Luigi Buglione, Manfred Bundschuh, David N. Card, Ton Dekkers, Robert L. Glass, David A. Gustafson, Marek Leszak, Peter Liggesmeyer, Andreas Schmietendorf, Harry Sneed, Charles Symons, Ruediger Zarnekow and Horst Zuse. Many examples and case studies are provided from Global 100 companies such as Alcatel-Lucent, Atos Origin, Axa, Bosch, Deloitte, Deutsche Telekom, Shell, Siemens and Vector Consulting. This combination of methodologies and applications makes the book ideally suited for both professionals in the software industry and for scientists looking for benchmarks and experiences. Besides the many practical hints and checklists readers will also appreciate the large reference list, which includes links to metrics communities where project experiences are shared. Further information, continuously updated, can also be found on the Web site related to this book: http://metrics.cs.uni-magdeburg.de/.

Software measurement. --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering --- Information Technology --- Software Engineering --- Software engineering. --- Information Systems. --- Management. --- Software Engineering. --- Management of Computing and Information Systems. --- Innovation/Technology Management. --- Administration --- Industrial relations --- Organization --- Computer software engineering --- Engineering --- Management information systems. --- Computer science. --- Industrial management. --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Management --- Business --- Industrial organization --- Informatics --- Science --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Communication systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Empirical studies have become an integral element of software engineering research and practice. This unique text/reference includes chapters from some of the top international empirical software engineering researchers and focuses on the practical knowledge necessary for conducting, reporting and using empirical methods in software engineering. Part 1, ‘Research Methods and Techniques’, examines the proper use of various strategies for collecting and analysing data, and the uses for which those strategies are most appropriate. Part 2, ‘Practical Foundations’, provides a discussion of several important global issues that need to be considered from the very beginning of research planning. Finally, ‘Knowledge Creation’ offers insight on using a set of disparate studies to provide useful decision support. Topics and features: • Offers information across a range of techniques, methods, and qualitative and quantitative issues, providing a toolkit for the reader that is applicable across the diversity of software development contexts • Presents reference material with concrete software engineering examples • Provides guidance on how to design, conduct, analyse, interpret and report empirical studies, taking into account the common difficulties and challenges encountered in the field • Arms researchers with the information necessary to avoid fundamental risks • Tackles appropriate techniques for addressing disparate studies – ensuring the relevance of empirical software engineering, and showing its practical impact • Describes methods that are less often used in the field, providing less conventional but still rigorous and useful ways of collecting data • Supplies detailed information on topics (such as surveys) that often contain methodological errors This broad-ranging, practical guide will prove an invaluable and useful reference for practising software engineers and researchers. In addition, it will be suitable for graduate students studying empirical methods in software development. Dr. Forrest Shull is a senior scientist at the Fraunhofer Center for Experimental Software Engineering, Maryland, and the director of its Measurement and Knowledge Management Division. In addition, he serves as associate editor in chief of IEEE Software magazine, specializing in empirical studies. Dr. Janice Singer heads the Human Computer Interaction program at the National Research Council, Canada. She has been conducting empirical research in software engineering for the past 12 years. Dr. Dag Sjøberg is currently research director of the software engineering group of the Simula Research Laboratory, Norway, which is ranked No. 3 in the world (out of 1400 institutions) in an evaluation in 2007 in the area of software and systems engineering.

Software engineering. --- Software measurement. --- Computer software engineering --- Engineering --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Software engineering --- Information Technology --- Software Engineering --- Computer system performance. --- Computer science. --- Information Systems. --- Software Engineering/Programming and Operating Systems. --- Software Engineering. --- System Performance and Evaluation. --- User Interfaces and Human Computer Interaction. --- Management of Computing and Information Systems. --- Informatics --- Science --- Computer system failures. --- User interfaces (Computer systems). --- Management information systems. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computer failures --- Computer malfunctions --- Computer systems --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Communication systems --- Failures

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The Eight International Conference on Product-Focused Software Process Impro- ment (PROFES 2007) brought together researchers and industrial practitioners to report new research results and exchange experiences and findings in the area of process and product improvement. The focus of the conference is on understanding, learning, evaluating, and improving the relationships between process improvement activities (such as the deployment of innovative defect detection processes) and their effects in products (such as improved product reliability and safety). Consequently, major topics of the conference include the evaluation of existing software process improvement (SPI) approaches in different contexts, the presentation of new or mo- fied SPI approaches, and the relation between SPI and new development techniques or emerging application domains. This year’s conference theme focused on global software development. More and more products are being developed in distributed, global development environments with many customer–supplier relations in the value chain. Outsourcing, off-shoring, near-shoring, and even in-sourcing aggravate this trend further. Supporting such d- tributed development requires well-understood and accurately implemented devel- ment process interfaces, process synchronization, and an efficient process evolution mechanisms. Overcoming cultural barriers and implementing efficient communi- tion channels are some of the key challenges. It is clear that process improvement approaches also need to consider these new development contexts.

Software engineering --- Computer software --- Software measurement --- Génie logiciel --- Logiciels --- Mesure du logiciel --- Congresses. --- Quality control --- Congrès --- Qualité --- Contrôle --- Computer Science --- Engineering & Applied Sciences --- Information Technology --- Software Engineering --- Computer software measurement --- Measurement, Software --- Metrics, Software --- Software engineering metrics --- Software metrics --- Computer science. --- Software engineering. --- Application software. --- Computers and civilization. --- Management information systems. --- Computer Science. --- Computer Applications. --- Software Engineering. --- Management of Computing and Information Systems. --- Computers and Society. --- Computer Appl. in Administrative Data Processing. --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Civilization and computers --- Civilization --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software engineering --- Engineering --- Informatics --- Science --- Communication systems --- Information Systems. --- Information systems.