Practical Guidance on the Efficient Development of High-Quality Software Introduction to Software Engineering, Second Edition equips students with the fundamentals to prepare them for satisfying careers as software engineers regardless of future changes in the field, even if the changes are unpredictable or disruptive in nature. Retaining the same organization as its predecessor, this second edition adds considerable material on open source and agile development models. The text helps students understand software development techniques and processes at a reasonably sophisticated level. Students acquire practical experience through team software projects. Throughout much of the book, a relatively large project is used to teach about the requirements, design, and coding of software. In addition, a continuing case study of an agile software development project offers a complete picture of how a successful agile project can work. The book covers each major phase of the software development life cycle, from developing software requirements to software maintenance. It also discusses project management and explains how to read software engineering literature. Three appendices describe software patents, command-line arguments, and flowcharts.

This book is about software product lines (SPLs) designed and developed taking UML diagrams as the primary basis, modeled according to a rigorous approach composed of an UML profile and a systematic process for variability management activities, forming the Stereotype-based Management of Variability (SMarty) approach. The book consists of five parts. Part I provides essential concepts on SPL in terms of the first development methodologies. It also introduces variability concepts and discusses SPL architectures finishing with the SMarty approach. Part II is focused on the design, verification and validation of SMarty SPLs, and Part III concentrates on the SPL architecture evolution based on ISO/IEC metrics, the SystEM-PLA method, optimization with the MOA4PLA method, and feature interaction prevention. Next, Part IV presents SMarty as a basis for SPL development, such as, the M-SPLearning SPL for mobile learning applications, the PLeTs SPL for testing tools, the PlugSPL plugin environment for supporting the SPL life cycle, the SyMPLES approach for designing embedded systems with SysML, the SMartySPEM approach for software process lines (SPrL), and re-engineering of class diagrams into an SPL. Eventually, Part V promotes controlled experimentation in UML-based SPLs, presenting essential concepts on how to plan, conduct, and document experiments, as well as showing several experiments carried out with SMarty. This book aims at lecturers, graduate students and experienced practitioners. Lecturers might use the book for graduate level courses about SPL fundamentals and tools; students will learn about the SPL engineering process, variability management, and mass customization; and practitioners will see how to plan the transition from single-product development to an SPL-based process, how to document inherent variability in a given domain, or how to apply controlled experiments to SPLs.

With recent releases of affordable hardware devices the fields of Virtual, Mixed, and Augmented Reality gained considerable attention, wherefore the creation of corresponding software becomes increasingly important. In the absence of a common model for flexibly combining and reusing appropriate software modules, such Realtime Interactive Systems are commonly implemented from scratch. Borrowing from the fields of Software Engineering and Knowledge Representation, this work develops a model for the creation of reusable components from existing software modules. With a Knowledge Representation Layer at its core the model additionally enables the utilization of methods from the field of Artificial Intelligence, thereby supporting the creation of Intelligent Realtime Interactive Systems.

Software Reuse is a state of the art book concerning all aspects of software reuse. It does away with the hype and shows the reality. Different techniques are presented which enable software reuse and the author demonstrates why object-oriented methods are better for reuse than other approaches. The book details the different factors to take into account when managing reusable components: characterisation, identification, building, verification, storage, search, adaptation, maintenance and evolution. Comparisons and description of various types of companies that could benefit from applying reuse techniques are included outlining, amongst other things, increased profitability and likely problems that might arise from the purchase and selling of reuse tools and components. Based on a real experience of software reuse in a company with a bibliography of more than 200 references provided, this book is a 'must have' for all those working in the software reuse field.

With the growth of public and private data stores and the emergence of off-the-shelf data-mining technology, recommendation systems have emerged that specifically address the unique challenges of navigating and interpreting software engineering data. This book collects, structures and formalizes knowledge on recommendation systems in software engineering. It adopts a pragmatic approach with an explicit focus on system design, implementation, and evaluation. The book is divided into three parts: “Part I – Techniques” introduces basics for building recommenders in software engineering, including techniques for collecting and processing software engineering data, but also for presenting recommendations to users as part of their workflow. “Part II – Evaluation” summarizes methods and experimental designs for evaluating recommendations in software engineering. “Part III – Applications” describes needs, issues and solution concepts involved in entire recommendation systems for specific software engineering tasks, focusing on the engineering insights required to make effective recommendations. The book is complemented by the webpage rsse.org/book, which includes free supplemental materials for readers of this book and anyone interested in recommendation systems in software engineering, including lecture slides, data sets, source code, and an overview of people, groups, papers and tools with regard to recommendation systems in software engineering. The book is particularly well-suited for graduate students and researchers building new recommendation systems for software engineering applications or in other high-tech fields. It may also serve as the basis for graduate courses on recommendation systems, applied data mining or software engineering. Software engineering practitioners developing recommendation systems or similar applications with predictive functionality will also benefit from the broad spectrum of topics covered.

"This book provides a comprehensive assessment of the latest developments in Web services research, focusing on composing and coordinating Web services, XML security, and service oriented architecture, and presenting new and emerging research in the Web services discipline"--Provided by publisher.

Information Reuse and Integration addresses the efficient extension and creation of knowledge through the exploitation of Kolmogorov complexity in the extraction and application of domain symmetry. Knowledge, which seems to be novel, can more often than not be recast as the image of a sequence of transformations, which yield symmetric knowledge. When the size of those transformations and/or the length of that sequence of transforms exceeds the size of the image, then that image is said to be novel or random. It may also be that the new knowledge is random in that no such sequence of transforms, which produces it exists, or is at least known. The nine chapters comprising this volume incorporate symmetry, reuse, and integration as overt operational procedures or as operations built into the formal representations of data and operators employed. Either way, the aforementioned theoretical underpinnings of information reuse and integration are supported.

Architecting critical systems has gained major importance in commercial, governmental, and industrial sectors. Emerging software applications encompass practicalities that are associated with either the whole system or some of its components. Therefore, effective methods, techniques, and tools for constructing, testing, analyzing, and evaluating the architectures for critical systems are of major importance. Furthermore, these methods, techniques, and tools must address issues of dependability and security, while focusing not only on the development, but also on the deployment and evolution of the architecture. This newly established ISARCS symposium provided an exclusive forum for exchanging views on the theory and practice for architecting critical systems. Such systems are characterized by the perceived severity of consequences that faults or attacks may cause, and architecting them requires appropriate means to assure that they will fulfill their specified services in a dependable and secure manner. The different attributes of dependability and security cannot be considered in isolation for today’s critical systems, as architecting critical systems essentially means finding the right trade-off among these attributes and the various other requirements imposed on the system. This symposium therefore brought together the four communities working on dependability, safety, security, and testing/analysis, each addressing to some extent the architecting of critical systems from their specific perspective. To this end, the symposium united the following three former events: the Workshop on Architecting Dependable Systems (WADS); the Workshop on the Role of Software Architecture for Testing and Analysis (ROSATEA); and the Workshop on Views on Designing Complex Architectures.