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This textbook describes the theory and the pragmatics of using and engineering high-level software languages - also known as modeling or domain-specific languages (DSLs) - for creating quality software. This includes methods, design patterns, guidelines, and testing practices for defining the syntax and the semantics of languages. While remaining close to technology, the book covers multiple paradigms and solutions, avoiding a particular technological silo. It unifies the modeling, the object-oriented, and the functional-programming perspectives on DSLs. The book has 13 chapters. Chapters 1 and 2 introduce and motivate DSLs. Chapter 3 kicks off the DSL engineering lifecycle, describing how to systematically develop abstract syntax by analyzing a domain. Chapter 4 addresses the concrete syntax, including the systematic engineering of context-free grammars. Chapters 5 and 6 cover the static semantics - with basic constraints as a starting point and type systems for advanced DSLs. Chapters 7 (Transformation), 8 (Interpretation), and 9 (Generation) describe different paradigms for designing and implementing the dynamic semantics, while covering testing and other kinds of quality assurance. Chapter 10 is devoted to internal DSLs. Chapters 11 to 13 show the application of DSLs and engage with simpler alternatives to DSLs in a highly distinguished domain: software variability. These chapters introduce the underlying notions of software product lines and feature modeling. The book has been developed based on courses on model-driven software engineering (MDSE) and DSLs held by the authors. It aims at senior undergraduate and junior graduate students in computer science or software engineering. Since it includes examples and lessons from industrial and open-source projects, as well as from industrial research, practitioners will also find it a useful reference. The numerous examples include code in Scala 3, ATL, Alloy, C#, F#, Groovy, Java, JavaScript, Kotlin, OCL, Python, QVT, Ruby, and Xtend. The book contains as many as 277 exercises. The associated code repository facilitates learning and using the examples in a course.

Business policy --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- bedrijfseconomie --- software engineering --- informatica management

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Software is everywhere, but despite being so common and useful, it remains magical and mysterious to many. Still, more and more people are finding themselves working for tech companies, or with an array of software products, services, and tools. This can segregate those who understand tech from those that don't. But it doesn't have to be this way. This book aims to bring these two worlds closer together, allowing people to learn basic concepts of software development in a casual and straight-forward way. Assuming no previous technical knowledge, you'll embark on a journey where you can understand and build a new software project from scratch until it is an advanced product with multiple users. Imagine moving from a "traditional" company and suddenly finding yourself in one where software is the main product or is a foundational component to it. One is often left to wade through the infinite concepts while still doing their actual jobs. This book closes that gap, improving communication between technical and non-technical parties. A Friendly Guide to Software Development makes technical concepts broadly available and easy to understand. In doing so, you'll be able to achieve better communication, which will undoubtedly lead to better working relationships, a better working environment, and ultimately better software. You will: See how a new software project is created Examine the basics of software development and architecture Know which questions to ask to avoid potential problems and pitfalls Start using and building software projects.

Programming --- Computer. Automation --- websites --- ICT (informatie- en communicatietechnieken) --- sport --- computers --- software engineering

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This textbook is about working in teams to create functioning software. It covers skills in agile software development methods, team working, version control and continuous integration and shows readers how to apply some of the latest ideas from lean, agile and Kanban. Part I, which focuses on People, describes various project roles and the skills needed to perform each role. This includes members of self-organizing teams, scrum masters, product owners and activities for managing other stakeholders. The skills needed to create Product artefacts are detailed in Part II. These include skills to create agile requirements, architectures, designs as well as development and security artefacts. The agile development Process to coordinate with co-workers is described in Part III. It introduces the skills needed to facilitate an incremental process and to use software tools for version control and automated testing. Eventually some more advanced topics are explained in Part IV. These topics include large projects comprising multiple cooperating teams, automating deployment, cloud software services, DevOps and evolving live systems. This textbook addresses significant competencies in the IEEE/ACM Computing Curricula Task Force 2020. It includes nearly 100 exercises for trying out and applying the skills needed for agile software development. Hints, tips and further advice about tackling the exercises are presented at the end of each chapter, and a case study project, with downloadable source code from an online repository, integrates the skills learned across the chapters. In addition, further example software projects are also available there. This way, the book provides a hands-on guide to working on a development project as part of a team, and is inspired by the needs of early career practitioners as well as undergraduate software engineering and computer science students.

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This book presents developments and future trends in e-commerce, which is shaped by customers' new digital communication and consumption patterns. Gerrit Heinemann sheds light on e-commerce business models, channel excellence as well as success factors such as digital time advantages and customer centricity. He analyzes the digital challenges and highlights the consequences and opportunities associated with online commerce. Recognized best practices illustrate how successful digital commerce works and what the "lessons learned" of the past years are. The content Meta-targeting and business ideas in online retailing Business model of online trade Forms of online trade Business systems and benchmarks in e-commerce Best practices and risks in online retailing The author Prof. Dr. Gerrit Heinemann is Professor of Business Administration, Management and Commerce and Head of the eWeb Research Center at Niederrhein University of Applied Sciences. This book is a translation of the original German edition "Intelligent Retail" by Heinemann, Geritt, published by Springer Fachmedien Wiesbaden GmbH in 2021. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Business policy --- Marketing --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- bedrijfseconomie --- marketing --- verkoop --- informatica management

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This book analyzes the impact of scientific computing in science and society over the coming decades. It presents advanced methods that can provide new possibilities to solve scientific problems and study important phenomena in society. The chapters cover Scientific computing as the third paradigm of science as well as the impact of scientific computing on natural sciences, environmental science, economics, social science, humanistic science, medicine, and engineering. Moreover, the book investigates scientific computing in high performance computing, quantum computing, and artificial intelligence environment and what it will be like in the 2030s and 2040s.

Mathematics --- Applied physical engineering --- Engineering sciences. Technology --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- economie --- wiskunde --- ingenieurswetenschappen