
Software Engineering for Variability Intensive Systems
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Persons
Matthias Galster is a Senior Lecturer in the Department of Computer Science and Software Engineering at the University of Canterbury, New Zealand. Previously he received a PhD in Software Engineering. His current work aims at improving the way we develop high quality software, with a focus on software requirements engineering, software architecture, software development processes and practices, and empirical software engineering.
Bruce R. Maxim has worked as a software engineer, project manager, professor, author, and consultant for more than thirty years. His research interests include software engineering, human computer interaction, game design, AR/VR, social media, artificial intelligence, and computer science education. Bruce Maxim is associate professor of computer and information science at the University of Michigan-Dearborn. Rami Bahsoon is a Senior Lecturer in Software Engineering and founder of the 'Software Engineering for/in the Cloud' interest groups at the School of Computer Science, University of Birmingham, UK, working in areas related to cloud software engineering and economics-driven software engineering and architecture. Bahsoon had founded and co-organized the International Software Engineering Workshop series on Software Architecture and Mobility held in conjunction with ICSE and the IEEE International Software Engineering for/in the Cloud workshop in conjunction with IEEE Services.
Content
Part I CONCEPTS AND MODELS
2 Observations from Variability Modelling Approaches at the Architecture Level
3 Context Modelling for Variability-intensive Systems During Requirements Engineering
4 Variability Incorporated Simultaneous Decomposition of Models UnderStructural and Procedural Views
Part II A NALYZING AND EVALUATING
5 Towards Self-securing Software Systems: Variability Spectrum
6 The Emerging Role of the Ecosystems Architect
7 Features and How to Find Them: A Survey of Manual Feature Location
8 A Debt-Aware Software Product Lines Engineering Using Portfolio Theory
9 Realising Variability in Dynamic Software Product Lines
Part III TECHNOLOGIES, EXPERIMENTS, AND STUDIES
10 A Feature Ontology to Power Enterprise-Level Product Line Engineering
11 Design of Variable Big Data Architectures for E-Government Domain
12 Refactoring Support for Variability-intensive Systems
13 Variability in Library Evolution: An Exploratory Study on Open-Source Java Libraries
14 Evolving Variability Requirements of IoT Systems
15 Outlook and Future Directions
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