This volume contains lectures on leading-edge research in methods and tools for use in computer system engineering; at the 4th International School on Engineering Trustworthy Software Systems, SETSS 2018, held in April 2018 at Southwest University in Chongqing, China. The five contributions included in this volume provide an overview of leading-edge research in methods and tools for use in computer system engineering. The school gives participants the opportunity to learn about state-of-the-art software engineering methods and technology advances from experts in the field. This volume contains lectures on leading-edge research in methods and tools for use in computer system engineering; at the 4th International School on Engineering Trustworthy Software Systems, SETSS 2018, held in April 2018 at Southwest University in Chongqing, China. The five chapters in this volume provide an overview of research in the frontier of theories, methods, and tools for software modelling, design, and verification. The topics covered in these chapter include Software Verification with Whiley, Learning Büchi Automata and Its Applications, Security in IoT Applications, Programming in Z3, and The Impact of Alan Turing: Formal Methods and Beyond. The volume provides a useful resource for postgraduate students, researchers, academics, and engineers in industry, who are interested in theory, methods, and tools for the development of trustworthy software.
This book presents the state of the art, challenges and future trends in automotive software engineering. The amount of automotive software has grown from just a few lines of code in the 1970s to millions of lines in today´s cars. And this trend seems destined to continue in the years to come, considering all the innovations in electric/hybrid, autonomous, and connected cars. Yet there are also concerns related to onboard software, such as security, robustness, and trust. This book covers all essential aspects of the field. After a general introduction to the topic, it addresses automotive software development, automotive software reuse, E/E architectures and safety, C-ITS and security, and future trends. The specific topics discussed include requirements engineering for embedded software systems, tools and methods used in the automotive industry, software product lines, architectural frameworks, various related ISO standards, functional safety and safety cases, cooperative intelligent transportation systems, autonomous vehicles, and security and privacy issues. The intended audience includes researchers from academia who want to learn what the fundamental challenges are and how they are being tackled in the industry, and practitioners looking for cutting-edge academic findings. Although the book is not written as lecture notes, it can also be used in advanced master´s-level courses on software and system engineering. The book also includes a number of case studies that can be used for student projects.
Examines and illustrates fundamental concepts in computer system design that are common across operating systems, networks, database systems, distributed systems, programming languages, software engineering, security, fault tolerance, and architecture. This title presents numerous pseudocode fragments that provide examples of abstract concepts.
Andreas Meier und Edy Portmann verwenden in diesem essential über Fuzzy Management die unscharfe Logik zur Lösung betriebswirtschaftlicher Probleme in der digitalen Wirtschaft. Die unscharfe Logik erweitert die klassische Logik mit den beiden Werten ´´wahr´´ und ´´falsch´´ und führt zu differenzierteren Beurteilungen. Neben Portfolio Management, Performance Measurement, Service Level Engineering und Reputationsmanagement wird die Business Intelligence mit weichen Faktoren angereichert, um den Entscheidungsprozess zu verbessern. Die Autoren: Prof. Dr. Andreas Meier leitete in den Jahren 1999 bis 2018 den Lehrstuhl für Wirtschaftsinformatik an der Universität Fribourg, Schweiz. Seine Forschungsgebiete waren eBusiness, eGovernment und Informationsmanagement. Prof. Dr. Edy Portmann ist Swiss Post Professor of Computer Science am Human-IST Institut der Universität Fribourg, Schweiz. In seiner Forschung beschäftigt er sich mit Fragen rund um Informationssysteme, -verarbeitung und -beschaffung.
This highly anticipated print collection gathers articles published in the much-loved International Journal of Proof-of-Concept or Get The Fuck Out. PoC GTFO follows in the tradition of Phrack and Uninformed by publishing on the subjects of offensive security research, reverse engineering, and file format internals. Until now, the journal has only been available online or printed and distributed for free at hacker conferences worldwide. Consistent with the journal´s quirky, biblical style, this book comes with all the trimmings: a leatherette cover, ribbon bookmark, bible paper, and gilt-edged pages. The book features more than 80 technical essays from numerous famous hackers, authors of classics like ´Reliable Code Execution on a Tamagotchi,´ ´ELFs are Dorky, Elves are Cool,´ ´Burning a Phone,´ ´Forget Not the Humble Timing Attack,´ and ´A Sermon on Hacker Privilege.´ Twenty-four full-color pages by Ange Albertini illustrate many of the clever tricks described in the text.
SysML extends UML with powerful systems engineering capabilities for modeling a far wider spectrum of systems, and effectively capturing all aspects of a system?s design. Now, there?s a go-to reference for everyone who wants to start creating accurate and useful system models with SysML. Drawing on his pioneering experience creating models for Lockheed Martin and NASA, Lenny Delligatti illuminates SysML?s core components, and shows how to use them even under tight deadlines and other constraints. You needn?t know all of SysML to create effective models: SysML Distilled quickly teaches what you do need to know, and helps you deepen your knowledge incrementally as the need arises. Coverage includes: How SysML extends and improves UML, and how to immediately put it to practical use How to use SysML as a foundation for Model-Based System Engineering (MBSE) or Model-Based Engineering (MBE) What to know before you start an SysML modeling project How to use key SysML diagrams for block definitions, internal blocks, use cases, activities, sequences, state machines, parametrics, requirements, and packages How to use allocations to define cross-cutting relationships And much more ? including appendices presenting complete SysML notation, identifying changes between SysML versions, and identifying authoritative sources for more information Product Description The Systems Modeling Language (SysML) extends UML with powerful systems engineering capabilities for modeling a wider spectrum of systems and capturing all aspects of a system?s design. SysML Distilled is the first clear, concise guide for everyone who wants to start creating effective SysML models. (Drawing on his pioneering experience at Lockheed Martin and NASA, Lenny Delligatti illuminates SysML?s core components and provides practical advice to help you create good models and good designs. Delligatti begins with an easy-to-understand overview of Model-Based Systems Engineering (MBSE) and an explanation of how SysML enables effective system specification, analysis, design, optimization, verification, and validation. Next, he shows how to use all nine types of SysML diagrams, even if you have no previous experience with modeling languages. A case study running through the text demonstrates the use of SysML in modeling a complex, real-world sociotechnical system. Modeled after Martin Fowler?s classic UML Distilled, Delligatti?s indispensable guide quickly teaches you what you need to know to get started and helps you deepen your knowledge incrementally as the need arises. Like SysML itself, the book is method independent and is designed to support whatever processes, procedures, and tools you already use. Coverage Includes Why SysML was created and the business case for using it Quickly putting SysML to practical use What to know before you start a SysML modeling project Essential concepts that apply to all SysML diagrams SysML diagram elements and relationships Diagramming block definitions, internal structures, use cases, activities, interactions, state machines, constraints, requirements, and packages Using allocations to define mappings among elements across a model SysML notation tables, version changes, and sources for more information Features + Benefits The most practical introduction to SysML Covers all essential diagrams: block definitions, internal blocks, use cases, activities, sequences, state machines, parametrics, requirements, and packages How to use SysML to move towards full-fledged Model-Based Systems Engineering (MBSE) Foreword by Rick Steiner xvii Foreword by Richard Soley xix Preface xxv Acknowledgments xxxi About the Author xxxiii Chapter 1: Overview of Model-Based Systems Engineering 1 1.1 What Is MBSE? 2 1.2 The Three Pillars of MBSE 4 1.3 The Myth of MBSE 9 Chapter 2: Overview of the Systems Modeling Language 11 2.1 What SysML Is?and Isn?t 11 2.2 Yes, SysML Is Based on UML?but You Can Start with SysML 13 2.3 SysML Diagram Overview 14 2.4 General Diagram Concepts 17 Chapter 3: Block Definition Diagrams 23 3.1 Purpose 23 3.2 When Should You Create a BDD? 24 3.3 The BDD Frame 24 3.4 Blocks 26 3.5 Associations: Another Notation for a Property 44 3.6 Generalizations 49 3.7 Dependencies 52 3.8 Actors 53 3.9 Value Types 55 3.10 Constraint Blocks 57 3.11 Comments 59 Chapter 4: Internal Block Diagrams 63 4.1 Purpose 63 4.2 When Should You Create an IBD? 64 4.3 Blocks, Revisited 64 4.4 The IBD Frame 65 4.5 BDDs and IBDs: Complementary Views of a Block 66
Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad, sometimes intimidating field of big data and data science, it is not an instruction manual for hands-on implementation. Here´s what to expect: Provides a background in big data and data engineering before moving on to data science and how it´s applied to generate value Includes coverage of big data frameworks like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL Explains machine learning and many of its algorithms as well as artificial intelligence and the evolution of the Internet of Things Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate It´s a big, big data world out there--let Data Science For Dummies help you harness its power and gain a competitive edge for your organization.
Make the right architectural decisions up front - and improve the quality and reliability of your .NET applications. Led by two enterprise programming experts, you´ll learn how to apply the patterns and techniques that help control project complexity - and make systems easier to build, support, and upgrade - right from the start. This Second Edition features new deep dives on domain modeling, Command Query Responsibility Segregation (CQRS), and event sourcing models. Get pragmatic architectural guidance on these topics and more: Building testability, maintainability, and security into your system early in the design Exposing business logic through a service-oriented interface Choosing the best pattern for organizing business logic and behavior Applying patterns to separate the UI and presentation logic Managing impedance mismatch between objects and data How to minimize development effort and avoid over-engineering - to produce more robust results
This book contains the revised selected papers of 4 workshops held in conjunction with the International Conference on High Performance Computing, Networking, Storage and Analysis (SC) in November 2017 in Denver, CO, USA, and in November 2018 in Dallas, TX, USA: the 6th and 7th International Workshop on Extreme-Scale Programming Tools, ESPT 2017 and ESPT 2018, and the 4th and 5th International Workshop on Visual Performance Analysis, VPA 2017 and VPA 2018. The 11 full papers of ESPT 2017 and ESPT 2018 and the 6 full papers of VPA 2017 and VPA 2018 were carefully reviewed and selected for inclusion in this book. The papers discuss the requirements for exascale-enabled tools as well as new approaches of applying visualization and visual analytic techniques to large-scale applications. Topics of interest include: programming tools; methodologies for performance engineering; tool technologies for extreme-scale challenges (e.g., scalability, resilience, power); tool support for accelerated architectures and large-scale multi-cores; tool infrastructures and environments; evolving/future application requirements for programming tools and technologies; application developer experiences with programming and performance tools; scalable displays of performance data; case studies demonstrating the use of performance visualization in practice; data models to enable scalable visualization; graph representation of unstructured performance data; presentation of high-dimensional data; visual correlations between multiple data sources; human-computer interfaces for exploring performance data; and multi-scale representations of performance data for visual exploration.
The process of eliciting, discovering, and developing of the requirements is defined as requirement engineering that these processes provide the suitable procedure for software system to meet its aim and objectives. This book put more efforts on requirement engineering approaches to formulate requirement engineering techniques to increase the productivity of mobile application. Furthermore this book could assist the researcher to provide better understanding of requirement engineering tools and techniques selection by presenting the requirement engineering model as a guideline.