Reiner Dumke

"Software-Metrie" ist eine junge Disziplin der Informatik, die sich mit der Messung, Bewertung und Qualtiatssicherung bei der Entwicklung und Produktion von Software befasst. Das Buch macht mit den anwendungsrelevanten Grundlagen vertraut und stellt die Verfahren, Metriken und Tools vor. Gegenstand des vorliegenden Werkes ist es, die Produktion von Software mit geeigneten Software-Massen zu unterstutzen. Dabei ist die Darstellung so gehalten, dass Studenten, Praktiker und Entscheidungstrager gleichermassen einen gezielten Ein- und Uberblick erhalten konnen. Ein Informatikbuch, das nicht zuletzt auch fur den Wirtschaftsinformatiker von Interesse ist.

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/.

The challenges in implementing intelligent and autonomous software systems remain the development of self-adapting systems, self-healing applications, corporate global creation, and collaborated robotic teams. With software agent technology widely recognized as a key approach in implementing such global infrastructure, the importance of the role of quality assurance of agent-based systems and system development is growing daily.Based on the authors’ more than fifteen years of experience in software agent technology, Quality of Agent-Based and Self-Managed Systems presents the basics principles and structures of agent technology. It covers the main quality issues of software system development and provides examples of agent measurement and evaluation. The authors focus on software agent systems and multi-agent systems (MAS) and discuss the determination of quality properties. They also explain different techniques and approaches to evaluate the development of MAS. The final chapter summarizes quality assurance approaches for agent-based systems and discusses some open problems and future directions.Although often complex and difficult to manage, the applications for software agent systems in essential life systems increase every day. Since the quality of the agent-based self-managing systems is a central point of software risks, analyzing, evaluating, and improving the quality measurement situation will always be a concern when developing these systems. With more than sixty illustrations and twenty tables, this book builds a foundation in quality and quality control for agent-based technology.

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/.

Zum Lernen, Nachschlagen und die erfolgreiche Praxis des Software Engineering. Das Buch ist so aufbereitet, dass es die wesentlichen Teilgebiete des internationalen "Software Engineering Body of Knowledge" (SWEBOK) abdeckt: die Grundlage fur eine Ausbildung im Software Engineering nach internationalem Standard. Hier erfahren Sie alles uber die Grundprinzipien, Methoden und Technologien jeweils im Kontext ihrer erfolgreichen Umsetzung und Anwendung. Die Darstellung folgt der UML-Methode mit den jeweiligen Tool-Anwendungen. Die neue Auflage wurde ganzlich uberarbeitet und aktualisiert.