2016 Workshop on Automotive Systems/Software Architectures (WASA).

2016 Workshop on Automotive Systems/Software Architectures (WASA).
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ISBN: 9781509025718
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With the advent of software and electronics, automotive companies are enabling innovation to improve safety, driver experience, and fuel efficiency Increasing use of software over the years, introduced the paradigm shift by requiring automotive companies to develop their systems using architecture and model based techniques The goal of this workshop is to address issues related to the appropriate automotive system software architecture and engineering techniques, which can be accepted by the automotive industry Therefore, to bring together researchers and practitioners in the area of automotive system software architecture and engineering, the international workshop on the Workshop on Automotive Software Architectures (WASA) is organized.

Engineering and Operations of System of Systems

Engineering and Operations of System of Systems
Author: John Mo
Publisher: CRC Press
Total Pages: 270
Release: 2018-10-10
Genre: Technology & Engineering
ISBN: 1351797786
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Modern engineering systems are complex and multi-faceted, and must be flexible, adaptable, and fully integrated with the supply chain and other stakeholders to deliver an effective level of performance. Therefore, this book aims to create an operational view and new understanding of modern system design, commissioning, operation, services and support. It includes system of systems modelling and analysis techniques essential to develop whole of system in view of essential requirements. This book will address professional engineers/operations managers required to design, develop, implement and operate a complex socio-technical system containing many engineering systems. Key Features • Develops a holistic view of system of systems from all possible fields of interest • Introduces the idea of system configurability to understand system of systems in parallel with the typical, classical concepts of engineering systems design • Offers effective coverage of both the engineering aspects and operational aspects of systems of systems • Focuses on pragmatic viewpoints on how to analyze system of systems • Provides practical tools and methods for the readers to develop competence to configure and operate system of systems

Software Engineering for Automotive Systems

Software Engineering for Automotive Systems
Author: P. Sivakumar
Publisher: CRC Press
Total Pages: 176
Release: 2022-08-08
Genre: Technology & Engineering
ISBN: 1000547973
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Software Engineering for Automotive Systems: Principles and Applications discusses developments in the field of software engineering for automotive systems. This reference text presents detailed discussion of key concepts including timing analysis and reliability, validation and verification of automotive systems, AUTOSAR architecture for electric vehicles, automotive grade Linux for connected cars, open-source architecture in the automotive software industry, and communication protocols in the automotive software development process. Aimed at senior undergraduate and graduate students in the fields of electrical engineering, electronics and communication engineering, and automobile engineering, this text: Provides the fundamentals of automotive software architectures. Discusses validation and verification of automotive systems. Covers communication protocols in the automotive software development process. Discusses AUTOSAR architecture for electric vehicles. Examines open-source architecture in the automotive software industry.

Automotive Systems and Software Engineering

Automotive Systems and Software Engineering
Author: Yanja Dajsuren
Publisher: Springer
Total Pages: 367
Release: 2019-07-17
Genre: Computers
ISBN: 3030121577
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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.

Automotive Embedded Systems

Automotive Embedded Systems
Author: M. Kathiresh
Publisher: Springer Nature
Total Pages: 239
Release: 2021-04-24
Genre: Technology & Engineering
ISBN: 3030598977
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This book is a compilation of the recent technologies and innovations in the field of automotive embedded systems with a special mention to the role of Internet of Things in automotive systems. The book provides easy interpretable explanations for the key technologies involved in automotive embedded systems. The authors illustrate various diagnostics over internet protocol and over-the-air update process, present advanced driver assistance systems, discuss various cyber security issues involved in connected cars, and provide necessary information about Autosar and Misra coding standards. The book is relevant to academics, professionals, and researchers.

State of the Art Software Development in the Automotive Industry and Analysis upon Applicability of Software Fault Prediction

State of the Art Software Development in the Automotive Industry and Analysis upon Applicability of Software Fault Prediction
Author: Harald Altinger
Publisher: Cuvillier Verlag
Total Pages: 207
Release: 2023-08-08
Genre: Technology & Engineering
ISBN: 3736968701
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In recent years the amount of software within automobiles has increased up to 100 Million LOC in modern day premium vehicles. Virtually all innovations in automotive engineering in the last decade include software components. Parallel to this increasing amount, testing becomes more vital. Automotive software development follows restrictive guidelines in terms of coding standard, language limitations and processes. Traditionally testing is a core part of automotive development, but the raising number of features increases the time and money required to perform all tests. Repeating them multiple times due to programming errors might jeopardises a cars introduction on the market. SFP is a new approach to forecast bugs already at time of commit, thus to guide test engineers upon defining testing hotspots. This work reports on the first successful application using model driven and code generated automotive software as a case study and a success prediction rate up to 97% upon a bug or fault free commit. A compiled and published dataset is presented along with analysis upon the used software metrics. Performance data achieved using different machine learning algorithms is given. An indepth analysis upon factors preventing CPFP is conducted. Further usage and practical application areas will conclude the work.

Machine Learning for Dynamic Software Analysis: Potentials and Limits

Machine Learning for Dynamic Software Analysis: Potentials and Limits
Author: Amel Bennaceur
Publisher: Springer
Total Pages: 260
Release: 2018-07-20
Genre: Computers
ISBN: 331996562X
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Machine learning of software artefacts is an emerging area of interaction between the machine learning and software analysis communities. Increased productivity in software engineering relies on the creation of new adaptive, scalable tools that can analyse large and continuously changing software systems. These require new software analysis techniques based on machine learning, such as learning-based software testing, invariant generation or code synthesis. Machine learning is a powerful paradigm that provides novel approaches to automating the generation of models and other essential software artifacts. This volume originates from a Dagstuhl Seminar entitled "Machine Learning for Dynamic Software Analysis: Potentials and Limits” held in April 2016. The seminar focused on fostering a spirit of collaboration in order to share insights and to expand and strengthen the cross-fertilisation between the machine learning and software analysis communities. The book provides an overview of the machine learning techniques that can be used for software analysis and presents example applications of their use. Besides an introductory chapter, the book is structured into three parts: testing and learning, extension of automata learning, and integrative approaches.

Automotive Software Architectures

Automotive Software Architectures
Author: Miroslaw Staron
Publisher: Springer Nature
Total Pages: 287
Release: 2021-03-01
Genre: Computers
ISBN: 3030659399
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This book introduces the concept of software architecture as one of the cornerstones of software in modern cars. Following a historical overview of the evolution of software in modern cars and a discussion of the main challenges driving that evolution, Chapter 2 describes the main architectural styles of automotive software and their use in cars’ software. Chapter 3 details this further by presenting two modern architectural styles, i.e. centralized and federated software architectures. In Chapter 4, readers will find a description of the software development processes used to develop software on the car manufacturers’ side. Chapter 5 then introduces AUTOSAR – an important standard in automotive software. Chapter 6 goes beyond simple architecture and describes the detailed design process for automotive software using Simulink, helping readers to understand how detailed design links to high-level design. The new chapter 7 reports on how machine learning is exploited in automotive software e.g. for image recognition and how both on-board and off-board learning are applied. Next, Chapter 8 presents a method for assessing the quality of the architecture – ATAM (Architecture Trade-off Analysis Method) – and provides a sample assessment, while Chapter 9 presents an alternative way of assessing the architecture, namely by using quantitative measures and indicators. Subsequently Chapter 10 dives deeper into one of the specific properties discussed in Chapter 8 – safety – and details an important standard in that area, the ISO/IEC 26262 norm. Lastly, Chapter 11 presents a set of future trends that are currently emerging and have the potential to shape automotive software engineering in the coming years. This book explores the concept of software architecture for modern cars and is intended for both beginning and advanced software designers. It mainly aims at two different groups of audience – professionals working with automotive software who need to understand concepts related to automotive architectures, and students of software engineering or related fields who need to understand the specifics of automotive software to be able to construct cars or their components. Accordingly, the book also contains a wealth of real-world examples illustrating the concepts discussed and requires no prior background in the automotive domain. Compared to the first edition, besides the two new chapters 3 and 7 there are considerable updates in chapters 5 and 8 especially.