Software Engineering for Self-Adaptive Systems

1. Front Matter

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2. Research Roadmap

   1. Software Engineering for Self-Adaptive Systems: A Second Research Roadmap

      • Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw, Jesper Andersson, Marin Litoiu et al.

      Pages 1-32

   2. A Design Space for Self-Adaptive Systems

      • Yuriy Brun, Ron Desmarais, Kurt Geihs, Marin Litoiu, Antonia Lopes, Mary Shaw et al.

      Pages 33-50

   3. Software Engineering Processes for Self-Adaptive Systems

      • Jesper Andersson, Luciano Baresi, Nelly Bencomo, Rogério de Lemos, Alessandra Gorla, Paola Inverardi et al.

      Pages 51-75

   4. On Patterns for Decentralized Control in Self-Adaptive Systems

      • Danny Weyns, Bradley Schmerl, Vincenzo Grassi, Sam Malek, Raffaela Mirandola, Christian Prehofer et al.

      Pages 76-107

   5. Towards Practical Runtime Verification and Validation of Self-Adaptive Software Systems

      • Gabriel Tamura, Norha M. Villegas, Hausi A. Müller, João Pedro Sousa, Basil Becker, Gabor Karsai et al.

      Pages 108-132

3. Requirements and Policies

   1. Awareness Requirements

      • Vítor E. Silva Souza, Alexei Lapouchnian, William N. Robinson, John Mylopoulos

      Pages 133-161

   2. Self-management of Distributed Systems Using High-Level Goal Policies

      • Liliana Rosa, Luís Rodrigues, Antónia Lopes

      Pages 162-190

   3. Dealing with Non-Functional Requirements for Adaptive Systems via Dynamic Software Product-Lines

      • Carlo Ghezzi, Amir Molzam Sharifloo

      Pages 191-213

4. Design Issues

   1. Uncertainty in Self-Adaptive Software Systems

      • Naeem Esfahani, Sam Malek

      Pages 214-238

   2. A Software Lifecycle Process to Support Consistent Evolutions

      • Paola Inverardi, Marco Mori

      Pages 239-264

   3. DYNAMICO: A Reference Model for Governing Control Objectives and Context Relevance in Self-Adaptive Software Systems

      • Norha M. Villegas, Gabriel Tamura, Hausi A. Müller, Laurence Duchien, Rubby Casallas

      Pages 265-293

5. Applications

   1. Fault-Adaptivity in Hard Real-Time Component-Based Software Systems

      • Abhishek Dubey, Gabor Karsai, Nagabhushan Mahadevan

      Pages 294-323

   2. Towards User Tailoring of Self-Adaptation in Ubiquitous Computing

      • João Pedro Sousa

      Pages 324-353

   3. Hierarchical Self-Optimization of SaaS Applications in Clouds

      • Bradley Simmons, Hamoun Ghanbari, Sotirios Liaskos, Marin Litoiu, Gabriel Iszlai

      Pages 354-375

   4. Self-Adaptivity from Different Application Perspectives

      • Kurt Geihs

      Pages 376-392

6. Back Matter

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Although the self-adaptability of systems has been studied in a wide range of disciplines, from biology to robotics, only recently has the software engineering community recognized its key role in enabling the development of self-adaptive systems that are able to adapt to internal faults, changing requirements, and evolving environments. The 15 carefully reviewed papers included in this state-of-the-art survey were presented at the International Seminar on "Software Engineering for Self-Adaptive Systems", held in Dagstuhl Castle, Germany, in October 2010. Continuing the course of the first book of the series on "Software Engineering for Self-Adaptive Systems" the collection of papers in this second volume comprises a research roadmap accompanied by four elaborating working group papers. Next there are two parts - with three papers each - entitled "Requirements and Policies" and "Design Issues"; part four of the book contains four papers covering a wide range of "Applications".

• context-aware adaptive systems
• dynamic context monitoring
• model-driven development
• software lifecycle process
• ubiquitous computing

• School of Computing, University of Kent, Canterbury, UK

  Rogério Lemos

• System Analysis and Modeling Group, Hasso Plattner Institute at the University of Potsdam, Germany

  Holger Giese

• University of Victoria, Australia

  Hausi A. Müller

• Institute for Software Research, School of Computer Science, Carnegie Mellon University, Pittsburgh, USA

  Mary Shaw

Policies and ethics