Thorough and continuous architecting is the key to overall success in software engineering, and architecture evaluation is a crucial part of it. This book presents a pragmatic architecture evaluation approach and insights gained from its application in more than 75 projects with industrial customers in the past decade. It presents context factors, empirical data, and example cases, as well as lessons learned on mitigating the risk of change through architecture evaluation. By providing comprehensive answers to more than 100 typical questions and discussing more than 60 frequent mistakes and lessons learned, the book allows readers to not only learn how to conduct architecture evaluations and interpret its results, but also to become aware of risks such as false conclusions, manipulating data, and unsound lines of argument. It equips readers to become confident in assessing quantitative measurement results and recognize when it is better to rely on qualitative expertise. The target readership includes both practitioners and researchers. By demonstrating its impact and providing clear guidelines, data, and examples, it encourages practitioners to conduct architecture evaluations. At the same time, it offers researchers insights into industrial architecture evaluations, which serve as the basis for guiding research in this area and will inspire future research directions.

Model transformations are the glue that tie modelling activities together. If you’ve used modelling in anger then, whether you know it or not, you’ve used model transformations. They come in all shapes and sizes from moving models between di?erent tools to generating implementations. Model transformations have humble beginnings—at one point, not long ago, it was said by many ‘in the know’ that the way forward in model transformations was to use XSLT. That this idea now raises a wry smile shows how far the model transformation community has come in a short time. Where once model transformations were hacked together in a variety of unsuitable languages, we now have a number of powerful, dedicated languages and theories at our disposal. Since 2008, the ICMT conference series has played a huge part in advancing the subject, and this third edition was no di?erent. The theories and languages presented at ICMT have allowed principled model transformations to play an ever greater part in real systems. Of course there is still much more to do: we need our model transformations, languages, and theories to scale further, allow greater expressivity, be more ?exible, and aid reusability; and we lack empirically backed studies of model transformations in use. Doubtless you can think of other gaps. Yet, though some real-world challenges lie just beyond our reach,eachyearseesonce-dauntingproblemsconquered.Muchofthatprogressis nowdriven byICMT, andthis year’sedition showedhow model transformations are increasingly being used in previously unfamiliar areas.

This book contains the refereed post-conference proceedings of the First International Self-Organizing Architectures Workshop (SOAR) in Cambridge, UK, in September 2009. The book includes 9 revised papers, which were selected from 17 submissions of the workshop, as well as 4 invited papers. The papers cover a broad range of topics related to self-organizing architectures, including self adaptive architectures, decentralized architectures, nature-inspired approaches, and learning approaches.

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence-quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution-this permits a rapid and broad dissemination of research results. The purpose of the 10th International Conference on Software Engineering Research, Management and Applications(SERA 2012) held on May 3- June 1, 2012 in Shanghai, China was to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of Software Engineering Research, Management and Applications, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected 12 outstanding papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and further rigorous rounds of review.

This book constitutes the refereed proceedings of three international workshops held in Rome, Italy, in conjunction with the 15th International Conference on Agile Software Development, XP 2014, in May 2014. The workshops comprised Principles of Large-Scale Agile Development, Refactoring & Testing (RefTest 2014), and Estimations in the 21st Century Software Engineering (EstSE21 2014). The 13 revised full papers presented were carefully reviewed and selected from 28 submissions. In addition, an introduction and a keynote paper are included.

This book proposes a novel technique, named artifact-driven process monitoring, by which multi-party processes, involving non-automated activities, can be continuously and autonomously monitored. This technique exploits the Internet of Things (IoT) paradigm to make the physical objects, participating in a process, smart. Being equipped with sensors, a computing device, and a communication interface, such smart objects can then become self-aware of their own conditions and of the process they participate in, and exchange this information with the other smart objects and the involved organizations. To allow organizations to reuse preexisting process models, a method to instruct smart objects given Business Process Model and Notation (BPMN) collaboration diagrams is also presented. The work constitutes a revised version of the PhD dissertation written by the author at the PhD School of Information Engineering of Politecnico di Milano, Italy. In 2019, the PhD dissertation won the “CAiSE PhD award”, granted to outstanding PhD theses in the field of Information Systems Engineering.

This book constitutes the refereed post-proceedings of the First International Workshop on Eternal Systems, EternalS 2011, held in Budapest, Hungary, in May 2011. The workshop aimed at creating the conditions for mutual awareness and cross-fertilization among broad ICT areas such as learning systems for knowledge management and representation, software systems, networked systems and secure systems, by focusing on their shared objectives such as adaptation, evolvability and flexibility for the development of long living and versatile systems. The 6 revised full papers and 4 short papers presented were carefully reviewed and selected from 15 submissions. They are organized in topical sections on software and secure systems, machine learning for software systems, and ontology and knowledge representations.