Service engineering is increasingly posing challenges to traditional software engineering methodologies including specification, modeling, architecture, and verification, just to name a few. On the other hand, the latest advancements in software engineering are continuously leveraged in Service Engineering research, especially in the design and implementation of service-oriented systems. Several mutual impacts between service engineering and software engineering could be observed in the last decade, and many research efforts have been devoted to the field. However, in spite of the considerable efforts and significant contributions, few have attempted to summarize the research results systematically.

The Internet of Things (IoT) is an emerging network superstructure that will connect physical resources and actual users. It will support an ecosystem of smart applications and services bringing hyper-connectivity to our society by using augmented and rich interfaces. Whereas in the beginning IoT referred to the advent of barcodes and Radio Frequency Identification (RFID), which helped to automate inventory, tracking and basic identification, today IoT is characterized by a dynamic trend toward connecting smart sensors, objects, devices, data and applications. The next step will be cognitive IoT, facilitating object and data re-use across application domains and leveraging hyper-connectivity, interoperability solutions and semantically enriched information distribution.

The Architectural Reference Model (ARM), presented in this book by the members of the IoT-A project team driving this harmonization effort, makes it possible to connect vertically closed systems, architectures and application areas so as to create open interoperable systems and integrated environments and platforms. It constitutes a foundation from which software companies can capitalize on the benefits of developing consumer-oriented platforms including hardware, software and services.

The material is structured in two parts. Part A introduces the general concepts developed for and applied in the ARM. It is aimed at end users who want to use IoT technologies, managers interested in understanding the opportunities generated by these novel technologies, and system architects who are interested in an overview of the underlying basic models. It also includes several case studies to illustrate how the ARM has been used in real-life scenarios. Part B then addresses the topic at a more detailed technical level and is targeted at readers with a more scientific or technical background. It provides in-depth guidance on the ARM, including a detailed description of a process for generating concrete architectures, as well as reference manuals with guidelines on how to use the various models and perspectives presented to create a concrete architecture. Furthermore, best practices and tips on how system engineers can use the ARM to develop specific IoT architectures for dedicated IoT solutions are illustrated and exemplified in reverse mapping exercises of existing standards and platforms."

Spring Framework 6 remains - by far - the leading de-facto "out of the box" practical Java meta application development framework for building complex enterprise, cloud-native applications as well as web applications and microservices. Introducing Spring Framework 6 is your hands-on tutorial guide for learning the Spring Framework 6 from top to bottom, and allows you to build an example application along the way from the ground-up. As you learn the Spring Framework over the course of this book, you'll incrementally build your first Spring application piece-by-piece as you learn each module, project or component of the Spring Framework and its extensions and ecosystem. As you learn the various fundamentals, you'll then apply them immediately to your Spring application. This Spring application, My Documents, enables you to learn by doing. After reading this book, you will have the essentials you should need to start using the Spring Framework and building your own Java-based applications or microservices with it. What you'll learn: Get started with Spring Framework 6 by VMWare Tanzu and the Spring community Build your first My Documents application using Spring Framework and its extensions Test your Spring application Add persistence to your application using Spring Data JPA and more Show your Spring application on the Web with Spring MVC and related Use REST APIs to enhance your application and add messaging with Kafka and AMQP Integrate your Spring application with external systems using Spring Integration toolkit Who is this book for: This book is for those aspiring software developers and programmers who are new to Spring. Some prior programming experience recommended, preferably in Java.

This innovative book recognizes the need within the object-oriented community for a book that goes beyond the tools and techniques of the typical methodology book. In Analysis Patterns: Reusable Object Models, Martin Fowler focuses on the end result of object-oriented analysis and design-the models themselves. He shares with you his wealth of object modeling experience and his keen eye for identifying repeating problems and transforming them into reusable models. Analysis Patterns provides a catalogue of patterns that have emerged in a wide range of domains including trading, measurement, accounting and organizational relationships. Recognizing that conceptual patterns cannot exist in isolation, the author also presents a series of "support patterns" that discuss how to turn conceptual models into software that in turn fits into an architecture for a large information system. Included in each pattern is the reasoning behind their design, rules for when they should and should not be used, and tips for implementation. The examples presented in this book comprise a cookbook of useful models and insight into the skill of reuse that will improve analysis, modeling and implementation.

Software is important because it is used by a great many people in companies and institutions. This book presents engineering methods for designing and building software. Based on the author's experience in software engineering as a programmer in the defense and aerospace industries, this book explains how to ensure a software that is programmed operates according to its requirements. It also shows how to develop, operate, and maintain software engineering capabilities by instilling an engineering discipline to support programming, design, builds, and delivery to customers. This book helps software engineers to: Understand the basic concepts, standards, and requirements of software engineering. Select the appropriate programming and design techniques. Effectively use software engineering tools and applications. Create specifications to comply with the software standards and requirements. Utilize various methods and techniques to identify defects. Manage changes to standards and requirements. Besides providing a technical view, this book discusses the moral and ethical responsibility of software engineers to ensure that the software they design and program does not cause serious problems. Software engineers tend to be concerned with the technical elegance of their software products and tools, whereas customers tend to be concerned only with whether a software product meets their needs and is easy and ready to use. This book looks at these two sides of software development and the challenges they present for software engineering. A critical understanding of software engineering empowers developers to choose the right methods for achieving effective results. Effective Methods for Software Engineering guides software programmers and developers to develop this critical understanding that is so crucial in today's software-dependent society.

BrunoBuchberger This book is a synopsis of basic and applied research done at the various re search institutions of the Softwarepark Hagenberg in Austria. Starting with 15 coworkers in my Research Institute for Symbolic Computation (RISC), I initiated the Softwarepark Hagenberg in 1987 on request of the Upper Aus trian Government with the objective of creating a scienti?c, technological, and economic impulse for the region and the international community. In the meantime, in a joint e?ort, the Softwarepark Hagenberg has grown to the current (2009) size of over 1000 R&D employees and 1300 students in six research institutions, 40 companies and 20 academic study programs on the bachelor, master's and PhD level. The goal of the Softwarepark Hagenberg is innovation of economy in one of the most important current technologies: software. It is the message of this book that this can only be achieved and guaranteed long term by "watering the root", namely emphasis on research, both basic and applied. In this book, we summarize what has been achieved in terms of research in the various research institutions in the Softwarepark Hagenberg and what research vision we have for the imminent future. When I founded the Softwarepark Hagenberg, in addition to the "watering the root" principle, I had the vision that such a technology park can only prosper if we realize the "magic triangle", i.e. the close interaction of research, academic education, and business applications at one site, see Figure 1.

* Provides simple, conceptual descriptions of everyday technologies * Includes clear examples and diagrams that demonstrate the principles and techniques, not just a "how-to" punch list * Covers advanced topics for readers who want to dive into the deep end of the technology pool * Avoids jargon-where terminology does appear, the text will provide clear, concise definitions

Features Suitable for undergraduates and early postgraduates who need simple and accessible guidance for solving practical interdisciplinary technical problems Can be used as an additional textbook in a variety of topics, including Calculus, Linear Algebra, Analytical Geometry, Discrete Mathematics, Computer Science, Computational Mathematics, Scientific Visualization, Computer Graphics Gives computer users access to an exciting new hobby - solving complex problems described in fiction.

- This book covers the production of dissertations in an area where students are much more comfortable writing code than writing academically. - With practical examples of bachelor dissertations and practical research methods utilised in the field of computer science and computer games such as survey methodologies, experimental methodologies, case studies, analysis techniques and reporting techniques, this book will break down the sometimes complicated-seeming nature of the dissertation. - Written to be concise yet comprehensive and with easily accessible language and examples, this book will take the mystery out of undergraduate dissertations in this field.

System Integration presents the systems approach to complex problem solving and provides a powerful base for both product and process integration. This unique reference describes 27 kinds of integration work, primarily obtained through human communications. Simple computer applications-already in place in most companies-have the resources to encourage the availability and sharing of current team knowledge, which results in an intense, cooperative experience leading rapidly to sound design solutions.

1 Einfuhrung in die Thematik.- 1.1 Begriffsfindungen.- 1.2 Herausforderung Nr. 1: Der Preiskarnpf in der IT-Branche.- 1.3 Von Umsatzzielen und Provisionsmodellen.- 1.3.1 Einfuhrung und Begriffsfindungen.- 1.3.2 Umsatzziele.- 1.3.3 Das lineare Provisionsmodell.- 1.3.4 Das progressive Provisionsmodell.- 1.3.5 Zusammenfassung.- 1.4 Der Forecast.- 1.4.1 Begriffsfindung.- 1.4.2 Moegliche Einflussgroessen im Forecast.- 1.4.3 Informationen, die der Forecast beinhalten sollte.- 1.4.4 Forecast Meetings.- 1.4.5 Fazit.- 1.5 Vorgehensweisen im Vertrieb.- 1.5.1 Allgemeines zu Vorgehensweisen im Vertrieb.- 1.5.2 Unterschiedliche Modelle.- 1.5.3 Aufwandsbetrachtungen im Vertrieb.- 1.5.4 Der Vertriebszyklus - Sales Cycle.- 1.5.5 Unterschiedliche Vertriebsansatze hinsichtlich der Zielgruppe beim Kunden.- 1.5.6 Der "Take-the-money-and-go"-Ansatz.- 1.5.7 Argumentationshilfe Return on Investment.- 1.5.8 Fazit.- 1.6 Die Quartalsdenke.- 1.6.1 Einfuhrung.- 1.6.2 Umsatzziele boersennotierter Unternehmen.- 1.6.3 Damoklesschwert Quartalsende.- 1.6.4 Konsequenzen der Quartalsdenke.- 1.6.5 Fazit.- 1.7 Vertrieb uber das Internet.- 1.7.1 Ruckblick.- 1.7.2 Vorgehensweise beim Vertrieb uber das Internet.- 1.7.3 Zu schaffende Grundvoraussetzungen.- 1.7.4 Fazit.- 1.8 Call Center.- 1.8.1 Einfuhrung.- 1.8.2 Arbeitsweise von Call Centern.- 1.8.3 Die 3 Schritte eines Piloten.- 1.8.4 Auswahl eines Call Centers.- 1.8.5 Vorteile des Einsatzes von Call Centern.- 1.8.6 Entlohnung von Call Centern.- 1.8.7 Weitere Einsatzmoeglichkeiten von Call Centern.- 1.8.8 Fazit.- 1.9 Vertriebsgebiete.- 1.9.1 Einfuhrung.- 1.9.2 Nach Postleitzahlen aufgebaute Vertriebsgebiete.- 1.9.3 Nach Branchen aufgeteilte Vertriebsgebiete.- 1.9.4 Mischung zwischen Branchen- und Postleitzahlen-orientierten Vertriebsgebieten.- 1.9.5 Problemfalle bei der Zuordnung.- 1.9.6 Fazit.- 1.10 Ausblick auf die weiteren Inhalte dieses Buches.- 2 Rollen im Vertrieb.- 2.1 Einfuhrung in Rollen.- 2.2 Die einzelnen Rollen innerhalb einer grossen Vertriebsorganisation.- 2.2.1 Der Vertriebsleiter.- 2.2.2 Der Vertriebsdirektor.- 2.2.3 Der Gebietsleiter.- 2.2.4 Der Vertriebsmitarbeiter.- 2.2.5 Der Telesales.- 2.2.6 Der Telequalifizierer.- 2.2.7 Zusammenfassung.- 2.3 Die Wirkungsfelder der unterschiedlichen Rollen.- 2.3.1 Einfuhrung.- 2.3.2 Wirkungsfeld des Vertriebsleiters.- 2.3.3 Wirkungsfeld des Vertriebsdirektors.- 2.3.4 Wirkungsfeld des Gebietsverkaufsleiters.- 2.3.5 Wirkungsfeld des Vertriebsmitarbeiters.- 2.3.6 Wirkungsfeld des Telesales.- 2.3.7 Wirkungsfeld des Telequalifizierers.- 2.4 Der Presales als Bindeglied zum Vertriebsmitarbeiter.- 2.4.1 Vorbemerkung.- 2.4.2 Aufgabenbeschreibung des Presales.- 2.4.3 Der Presales-Pool.- 2.4.4 Wirkungsfeld des Presales.- 2.4.5 Der Unterschied zum Consulting-Mitarbeiter.- 2.4.6 Zusammenfassung.- 2.5 Fazit.- 3 Produktvertrieb versus Dienstleistungsvertrieb.- 3.1 Einfuhrung in die Thematik.- 3.2 Die wesentlichen Unterschiede zwischen Produkt- und Dienstleistungsvertrieb.- 3.2.1 Allgemeines.- 3.2.2 Unterschiede beim Geldfluss.- 3.2.3 Unterschiede im Risiko.- 3.2.4 Unterschiede im Vertriebsansatz.- 3.2.5 Unterschiede bei der Kompensation von Umsatzausfallen.- 3.2.6 Unterschiede in der Motivation.- 3.2.7 Fazit.- 3.3 Gemeinsamkeiten zwischen Produkt- und Dienstleistungsvertrieb.- 3.3.1 Allgemeines.- 3.3.2 Gesprachsvorbereitung.- 3.3.3 Wettbewerbsbetrachtungen.- 3.3.4 Fazit.- 3.4 Gemeinsames Hilfsmittel im Vertrieb: Der Workshop.- 3.4.1 Hinfuhrung zum Thema.- 3.4.2 Zielsetzung des Workshops.- 3.4.3 Berechnung des Workshops.- 3.4.4 Zusammensetzung des Teilnehmerkreises.- 3.4.5 Inhaltliche Gestaltung eines Workshops beim Kunden.- 3.4.6 Auswirkungen eines erfolgreichen Workshops.- 3.4.7 Externe Unterstutzung bei der Konzeption eines Workshops.- 3.5 Integration von Risikomanagement.- 3.5.1 Einleitung.- 3.5.2 Erstellen einer Risikoliste.- 3.5.3 Festlegen von Risikoklassen und Risikowahrscheinlichkeitsklassen.- 3.5.4 Ableiten einer Risikomatrix.- 3.5.5 Ergebnisse.- 3.

Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applications. The book provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles typically allow. The articles included in this book will become standard references, with lasting value in this rapidly expanding field.

Written by two very experienced instructors, with more than thirty years of teaching experience between them; Presents material that is grounded in practical applications that are representative of the problems researchers encounter in real life; Teaches readers the core features of modern JavaScript; Covers programming with callbacks and promises; Describes how to build data services and data visualization;

Python for Scientific Computation and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI). This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling. Features: No prior experience of programming is required. Online GitHub repository available with codes for readers to practice. Covers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computing. Full solutions to exercises are available as Jupyter notebooks on the Web.

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.

Model checking is a prominent technique used in the hardware and software industries for automatic verification. While it is very successful in finding subtle bugs in distributed systems, it faces the state explosion problem - the number of reachable states grows exponentially in the number of concurrent components.

In this book the authors introduce unfoldings, an approach to model checking which alleviates the state explosion problem by means of concurrency theory. They offer a gentle introduction to the basics of the method, and in particular they detail an unfolding-based algorithm for model checking concurrent systems against properties specified as formulas of linear temporal logic (LTL). Self-contained chapters cover transition systems and their products; unfolding products; search procedures for basic verification problems, such as reachability and livelocks; and model checking LTL. The final chapter summarizes the results of the book, and points the reader to tools and case studies.

The book will be of value to researchers and graduate students engaged in automatic verification and concurrency theory.

Any organization with valuable data has been or will be attacked, probably successfully, at some point and with some damage. And, don't all digitally connected organizations have at least some data that can be considered "valuable"? Cyber security is a big, messy, multivariate, multidimensional arena. A reasonable "defense-in-depth" requires many technologies; smart, highly skilled people; and deep and broad analysis, all of which must come together into some sort of functioning whole, which is often termed a security architecture. Secrets of a Cyber Security Architect is about security architecture in practice. Expert security architects have dozens of tricks of their trade in their kips. In this book, author Brook S. E. Schoenfield shares his tips and tricks, as well as myriad tried and true bits of wisdom that his colleagues have shared with him. Creating and implementing a cyber security architecture can be hard, complex, and certainly frustrating work. This book is written to ease this pain and show how to express security requirements in ways that make the requirements more palatable and, thus, get them accomplished. It also explains how to surmount individual, team, and organizational resistance. The book covers: What security architecture is and the areas of expertise a security architect needs in practice The relationship between attack methods and the art of building cyber defenses Why to use attacks and how to derive a set of mitigations and defenses Approaches, tricks, and manipulations proven successful for practicing security architecture Starting, maturing, and running effective security architecture programs Secrets of the trade for the practicing security architecture Tricks to surmount typical problems Filled with practical insight, Secrets of a Cyber Security Architect is the desk reference every security architect needs to thwart the constant threats and dangers confronting every digitally connected organization.

This book covers the fundamental concepts in signal processing illustrated with Python code and made available via IPython Notebooks, which are live, interactive, browser-based documents that allow one to change parameters, redraw plots, and tinker with the ideas presented in the text. Everything in the text is computable in this format and thereby invites readers to "experiment and learn" as they read. The book focuses on the core, fundamental principles of signal processing. The code corresponding to this book uses the core functionality of the scientific Python toolchain that should remain unchanged into the foreseeable future. For those looking to migrate their signal processing codes to Python, this book illustrates the key signal and plotting modules that can ease this transition. For those already comfortable with the scientific Python toolchain, this book illustrates the fundamental concepts in signal processing and provides a gateway to further signal processing concepts.