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Embedded software demands intensive testing of functional and non-functional requirements. Automation of such tests is performed with different technologies. Source-code level tests require specialized unit-testing tools. Tests of the high-level behavior of control systems follow the model-, software- and hardware-in-the-loop approach. This work studies the integration of such system-level and source-code level tests. The focus lies on a new programming language to implement test cases.

Test automation --- Testautomatisierung --- Eingebettete Software --- Domänenspezifische Sprachen --- Domain specific languages --- Embedded software

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Computer science. --- Development frameworks and environments --- Domain specific languages --- Embedded software

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Domain-specific programming languages --- Computer software --- Application languages (Computer science) --- Domain-specific languages (Computer science) --- DSLs (Domain-specific programming languages) --- Little languages (Computer science) --- Macros (Domain-specific programming languages) --- Problem-oriented languages (Computer science) --- Programming languages (Electronic computers) --- Development

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Master the fundamentals of Gradle using real-world projects with this quick and easy-to-read guide About This Book Write beautiful build scripts for various types of projects effortlessly Become more productive by harnessing the power and elegance of the Gradle DSL Learn how to use Gradle quickly and effectively with this step-by-step guide Who This Book Is For This book is for Java and other JVM-based language developers who want to use Gradle or are already using Gradle on their projects. No prior knowledge of Gradle is required, but some familiarity with build-related terminologies and an understanding of the Java language would help. What You Will Learn Master the Gradle DSL by identifying the building blocks Learn just enough Groovy for Gradle Set up tests and reports for your projects to make them CI ready Create library, stand-alone, and web projects Craft multi-module projects quickly and efficiently Migrate existing projects to a modern Gradle build Extract common build logic into plugins Write builds for languages like Java, Groovy, and Scala In Detail Gradle is an advanced and modern build automation tool. It inherits the best elements of the past generation of build tools, but it also differs and innovates to bring terseness, elegance, simplicity, and the flexibility to build. Right from installing Gradle and writing your first build file to creating a fully-fledged multi-module project build, this book will guide you through its topics in a step-by-step fashion. You will get your hands dirty with a simple Java project built with Gradle and go on to build web applications that are run with Jetty or Tomcat. We take a unique approach towards explaining the DSL using the Gradle API, which makes the DSL more accessible and intuitive. All in all, this book is a concise guide to help you decipher the Gradle build files, covering the essential topics that are most useful in real-world projects. With every chapter, you will learn a new topic and be able to readily implement your build files. Style and approach This step-by-step guide focuses on being productive with every chapter. When required, topics are explained in-depth to give you a good foundation of the Gradle fundamentals. The book covers most aspects of builds required for conventional JVM-based projects, and when necessary, points you towards the right resources.

Domain-specific programming languages. --- Application languages (Computer science) --- Domain-specific languages (Computer science) --- DSLs (Domain-specific programming languages) --- Little languages (Computer science) --- Macros (Domain-specific programming languages) --- Problem-oriented languages (Computer science) --- Programming languages (Electronic computers) --- Gradle (Computer file)

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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.

Domain-specific programming languages. --- Application languages (Computer science) --- Domain-specific languages (Computer science) --- DSLs (Domain-specific programming languages) --- Little languages (Computer science) --- Macros (Domain-specific programming languages) --- Problem-oriented languages (Computer science) --- Programming languages (Electronic computers)