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Software Reuse: Advances in Software Reusability

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This book constitutes the refereed proceedings of the 6th International Conference on Software Reuse, ICSR-6, held in Vienna, Austria, in June 2000. The 26 revised full papers presented were carefully reviewed and selected from numerous submissions. The book is divided into topical sections on generative reuse and formal description languages, object-oriented methods, product line architectures, requirements reuse and business modeling, components and libraries, and design patterns.

Ontologies for Software Engineering and Software Technology

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Communication is one of the main activities in software projects, many such projects fail or encounter serious problems because the stakeholders involved have different understandings of the problem domain and/or they use different terminologies. Ontologies can help to mitigate these communication problems. Calero and her coeditors mainly cover two applications of ontologies in software engineering and software techonology: sharing knowledge of the problem domain and using a common terminology among all stakeholders; and filtering the knowledge when defining models and metamodels. The editors structured the contributions into three parts: first, a detailed introduction into the use of ontologies in software engineering and software technology in general; second, the use of ontologies to conceptualize different process-related domains such as software maintenance, software measurement, or SWEBOK, initiated by IEEE; third, the use of ontologies as artifacts in several software processes, like, for example, in OMG’s MOF or MDA. By presenting the advanced use of ontologies in software research and software projects, this book is of benefit to software engineering researchers in both academia and industry.

Software Languages

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This book identifies, defines and illustrates the fundamental concepts and engineering techniques relevant to applications of software languages in software development. It presents software languages primarily from a software engineering perspective, i.e., it addresses how to parse, analyze, transform, generate, format, and otherwise process software artifacts in different software languages, as they appear in software development. To this end, it covers a wide range of software languages – most notably programming languages, domain-specific languages, modeling languages, exchange formats, and specifically also language definition languages. Further, different languages are leveraged to illustrate software language engineering concepts and techniques. The functional programming language Haskell dominates the book, while the mainstream programming languages Python and Java are additionally used for illustration. By doing this, the book collects and organizes scattered knowledge from software language engineering, focusing on application areas such as software analysis (software reverse engineering), software transformation (software re-engineering), software composition (modularity), and domain-specific languages. It is designed as a textbook for independent study as well as for bachelor’s (advanced level) or master’s university courses in Computer Science. An additional website provides complementary material, for example, lecture slides and videos. This book is a valuable resource for anyone wanting to understand the fundamental concepts and important engineering principles underlying software languages, allowing them to acquire much of the operational intelligence needed for dealing with software languages in software development practice. This is an important skill set for software engineers, as languages are increasingly permeating software development.

Software Measurement

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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 Visualization

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"Software Visualization: From Theory to Practice was initially selected as a special volume for ""The Annals of Software Engineering (ANSE) Journal"", which has been discontinued. This special edited volume, is the first to discuss software visualization in the perspective of software engineering. It is a collection of 14 chapters on software visualization, covering the topics from theory to practical systems. The chapters are divided into four Parts: Visual Formalisms, Human Factors, Architectural Visualization, and Visualization in Practice. They cover a comprehensive range of software visualization topics, including *Visual programming theory and techniques for rapid software prototyping and graph visualization, including distributed programming; *Visual formalisms such as Flowchart, Event Graph, and Process Communication Graph; *Graph-oriented distributed programming; *Program visualization for software understanding, testing/debugging and maintenance; *Object-oriented re-design based on legacy procedural software; *Cognitive models for designing software exploration tools; *Human comprehensibility of visual modeling diagrams in UML; *UML extended with pattern compositions for software reuse; *Visualization of software architecture and Web architecture for better understanding; *Visual programming and program visualization for music synthesizers; *Drawing diagrams nicely using clustering techniques for software engineering."