Software Engineering for Self-Adaptive Systems: A Research Road Map (Draft Version)

Software Engineering for Self-Adaptive Systems: A Research Road Map (Draft Version)

January 2008 | Betty H.C. Cheng, Rogério de Lemos, Holger Giese, Paola Inverardi, Jeff Magee, Jesper Andersson, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cukic, Giovanna Di Marzo Serugendo, Schahram Dustdar, Anthony Finkelstein, Cristina Gacek, Kurt Geihs, Vincenzo Grassi, Gabor Karsai, Holger Kienle, Jeff Kramer, Marin Litoiu, Sam Malek, Raffaella Mirandola, Hausi Müller, Sooyong Park, Mary Shaw, Matthias Tichy, Massimo Tivoli, Danny Weyns, Jon Whittle
This paper presents a research roadmap for software engineering of self-adaptive systems, focusing on four essential views: requirements, modelling, engineering, and assurances. Self-adaptive systems can configure and reconfigure themselves, augment their functionality, continually optimize themselves, protect themselves, and recover themselves, while keeping most of their complexity hidden from the user and administrator. The paper discusses the challenges and opportunities in developing self-adaptive systems, emphasizing the need for systematic approaches to support their development. It highlights the importance of requirements engineering for self-adaptive systems, which must address what adaptations are possible and what constraints how those adaptations are carried out. The paper also discusses the modelling dimensions for self-adaptive systems, including adaptation, timing, and dependability. It emphasizes the need for a comprehensive approach to engineering self-adaptive systems, including the use of feedback loops and control theory. The paper concludes with a discussion of the challenges and future research directions in the field of self-adaptive systems.This paper presents a research roadmap for software engineering of self-adaptive systems, focusing on four essential views: requirements, modelling, engineering, and assurances. Self-adaptive systems can configure and reconfigure themselves, augment their functionality, continually optimize themselves, protect themselves, and recover themselves, while keeping most of their complexity hidden from the user and administrator. The paper discusses the challenges and opportunities in developing self-adaptive systems, emphasizing the need for systematic approaches to support their development. It highlights the importance of requirements engineering for self-adaptive systems, which must address what adaptations are possible and what constraints how those adaptations are carried out. The paper also discusses the modelling dimensions for self-adaptive systems, including adaptation, timing, and dependability. It emphasizes the need for a comprehensive approach to engineering self-adaptive systems, including the use of feedback loops and control theory. The paper concludes with a discussion of the challenges and future research directions in the field of self-adaptive systems.
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