This book constitutes the refereed proceedings of the tracks and workshops which complemented the 17th European Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023. The 29 full papers included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: AMP; CASA; DE & I Track; DeMeSSA; FAACS; QUALIFIER; TwinArch; Tools and Demos; Industry Track; and Doctoral Symposium.

This book constitutes the refereed proceedings of the 17th International Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023. The 16 full papers and the 9 short papers included in this volume were carefully reviewed and selected from 71 submissions. They address the most recent, innovative, and significant findings and experiences in the field of software architecture research and practice.

This book constitutes the refereed proceedings of the tracks and workshops which complemented the 16th European Conference on Software Architecture, ECSA 2022, held in Prague, Czech Republic, in September 2022. The 26 full papers presented together with 4 short papers and 2 tutorial papers in this volume were carefully reviewed and selected from 61 submissions. Papers presented were accepted into the following tracks and workshops: Industry track; Tools and Demonstrations Track; Doctoral Symposium; Tutorials; 8th International Workshop on Automotive System/Software Architectures (WASA); 5th Context-Aware, Autonomous and Smart Architectures International Workshop (CASA); 6th International Workshop on Formal Approaches for Advanced Computing Systems (FAACS); 3rd Workshop on Systems, Architectures, and Solutions for Industry 4.0 (SASI4); 2nd International Workshop on Designing and Measuring Security in Software Architectures (DeMeSSA); 2nd International Workshop on Software Architecture and Machine Learning (SAML); 9th Workshop on Software Architecture Erosion and Architectural Consistency (SAEroCon); 2nd International Workshop on Mining Software Repositories for Software Architecture (MSR4SA); and 1st International Workshop on Digital Twin Architecture (TwinArch).

This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.