Report from the GI Dagstuhl Seminar 14433 on Software Engineering for Self-Adaptive Systems

Reference

Thomas Vogel, Matthias Tichy, and Alessandra Gorla, eds. “Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems”. Research Reports in Software Engineering and Management 2014:02. Department of Computer Science, Engineering, Chalmers University of Technology, and University of Gothenburg, Sweden. 2014.

Abstract

Nowadays, software has become a key feature and driver for innovation of a wide range of products and services such as business applications, vehicles, or devices in various domains such as transportation, communication, energy, production, or health. Consequently, our daily lives highly depend on such software-intensive systems. This results in complex systems, which is even more stressed by integrating them to systems-of-systems or cyber-physical systems such as smart cities. Therefore, innovative ways of developing, deploying, maintaining, and evolving such software-intensive systems are required. In this direction, one promising stream of software engineering research is self-adaptation. Engineering self-adaptive systems is an open research challenge, particularly, for software engineering since it is usually software that controls the self-adaptation. This GI-Dagstuhl seminar focused on software engineering aspects of building self-adaptive systems cost-effectively and in a systematic and predictable manner. This includes typical software engineering disciplines such as requirements engineering, modeling, architecture, middleware, design, analysis, testing, validation, and verification as well as software evolution.

BibTeX

@proceedings{2014-Dagstuhl,
    title = {Report from the GI Dagstuhl Seminar 14433: Software Engineering for Self-Adaptive Systems},
    year = {2014},
    number = {2014:02},
    editor = {Vogel, Thomas and Tichy, Matthias and Gorla, Alessandra},
    series = {Research Reports in Software Engineering and Management},
    organization = {Department of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Sweden},
    url = {http://hdl.handle.net/2077/37775},
}
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