This title provides a forum where expert insights are presented on the subject of linking three current phenomena: software evolution, UML and XML.

"Reports on the recent advances in UML and XML based software evolution in terms of a wider range of techniques and applications"--Provided by publisher.

During the last few years, software evolution research has explored new domains such as the study of socio-technical aspects and collaboration between different individuals contributing to a software system, the use of search-based techniques and meta-heuristics, the mining of unstructured software repositories, the evolution of software requirements, and the dynamic adaptation of software systems at runtime. Also more and more attention is being paid to the evolution of collections of inter-related and inter-dependent software projects, be it in the form of web systems, software product families, software ecosystems or systems of systems. With this book, the editors present insightful contributions on these and other domains currently being intensively explored, written by renowned researchers in the respective fields of software evolution. Each chapter presents the state of the art in a particular topic, as well as the current research, available tool support and remaining challenges. The book is complemented by a glossary of important terms used in the community, a reference list of nearly 1,000 papers and books and tips on additional resources that may be useful to the reader (reference books, journals, standards and major scientific events in the domain of software evolution and datasets). This book is intended for all those interested in software engineering, and more particularly, software maintenance and evolution. Researchers and software practitioners alike will find in the contributed chapters an overview of the most recent findings, covering a broad spectrum of software evolution topics. In addition, it can also serve as the basis of graduate or postgraduate courses on e.g., software evolution, requirements engineering, model-driven software development or social informatics.

An Approach to Modelling Software Evolution Processes describes formal software processes that effectively support software evolution. The importance and popularity of software evolution increase as more and more successful software systems become legacy systems. For one thing, software evolution has become an important characteristic in the software life cycle; for another, software processes play an important role in increasing efficiency and quality of software evolution. Therefore, the software evolution process, the inter-discipline of software process and software evolution, becomes a key area in software engineering. The book is intended for software engineers and researchers in computer science. Prof. Tong Li earned his Ph.D. in Software Engineering at De Montfort University, U.K.; he has published five monographs and over one hundred papers.

Software systems now invade every area of daily living. Yet, we still struggle to build systems we can really rely on. If we want to work with software systems at any level, we need to get to grips with the way software evolves. This book will equip the reader with a sound understanding of maintenance and how it affects all levels of the software evolution process.

Integration -- Applications of transformations -- Applications of MDA -- Process -- Model consistency -- Model management -- Transformation (1) -- Ontologies -- Reengineering -- Tools and profiles -- Tool generation -- Constraints -- Model management and transformations -- Transformation (2).

This book constitutes the refereed proceedings of the 12th International Conference on the Quality of Information and Communications Technology, QUATIC 2019, held in Ciudad Real, Spain, in September 2019. The 19 full papers and 6 short papers were carefully reviewed and selected from 66 submissions. The papers are organized in topical sections: security & privacy, requirements engineering, business processes, evidence-based software engineering, process improvement and assessment, model-driven engineering & software maintenance, data science & services, and verification and validation.