Architectures for Adaptive Software Systems

1. Front Matter

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2. Model-Driven Quality Analysis

   1. A Model-Based Framework to Design and Debug Safe Component-Based Autonomic Systems

      • Guillaume Waignier, Anne-Françoise Le Meur, Laurence Duchien

      Pages 1-17

   2. Applying Model Transformations to Optimizing Real-Time QoS Configurations in DRE Systems

      • Amogh Kavimandan, Aniruddha Gokhale

      Pages 18-35

   3. Automated Architecture Consistency Checking for Model Driven Software Development

      • Matthias Biehl, Welf Löwe

      Pages 36-51

3. Architectural Performance Prediction

   1. Improved Feedback for Architectural Performance Prediction Using Software Cartography Visualizations

      • Klaus Krogmann, Christian M. Schweda, Sabine Buckl, Michael Kuperberg, Anne Martens, Florian Matthes

      Pages 52-69

   2. Predicting Performance Properties for Open Systems with KAMI

      • Carlo Ghezzi, Giordano Tamburrelli

      Pages 70-85

   3. Compositional Prediction of Timed Behaviour for Process Control Architecture

      • Kenneth Chan, Iman Poernomo

      Pages 86-100

   4. Timed Simulation of Extended AADL-Based Architecture Specifications with Timed Abstract State Machines

      • Stefan Björnander, Lars Grunske, Kristina Lundqvist

      Pages 101-115

4. Architectural Knowledge

   1. Achieving Agility through Architecture Visibility

      • Carl Hinsman, Neeraj Sangal, Judith Stafford

      Pages 116-129

   2. Successful Architectural Knowledge Sharing: Beware of Emotions

      • Eltjo R. Poort, Agung Pramono, Michiel Perdeck, Viktor Clerc, Hans van Vliet

      Pages 130-145

   3. Toward a Catalogue of Architectural Bad Smells

      • Joshua Garcia, Daniel Popescu, George Edwards, Nenad Medvidovic

      Pages 146-162

5. Case Studies and Experience Reports

   1. On the Consolidation of Data-Centers with Performance Constraints

      • Jonatha Anselmi, Paolo Cremonesi, Edoardo Amaldi

      Pages 163-176

   2. Evolving Industrial Software Architectures into a Software Product Line: A Case Study

      • Heiko Koziolek, Roland Weiss, Jens Doppelhamer

      Pages 177-193

   3. Adaptive Application Composition in Quantum Chemistry

      • Li Li, Joseph P. Kenny, Meng-Shiou Wu, Kevin Huck, Alexander Gaenko, Mark S. Gordon et al.

      Pages 194-211

6. Back Matter

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Much of a software architect’s life is spent designing software systems to meet a set of quality requirements. General software quality attributes include scalability, security, performance or reliability. Quality attribute requirements are part of an application’s non-functional requirements, which capture the many facets of how the functional - quirements of an application are achieved. Understanding, modeling and continually evaluating quality attributes throughout a project lifecycle are all complex engineering tasks whichcontinuetochallengethe softwareengineeringscienti ccommunity. While we search for improved approaches, methods, formalisms and tools that are usable in practice and can scale to large systems, the complexity of the applications that the so- ware industry is challenged to build is ever increasing. Thus, as a research community, there is little opportunity for us to rest on our laurels, as our innovations that address new aspects of system complexity must be deployed and validated. To this end the 5th International Conference on the Quality of Software Archit- tures (QoSA) 2009 focused on architectures for adaptive software systems. Modern software systems must often recon guretheir structure and behavior to respond to c- tinuous changes in requirements and in their execution environment. In these settings, quality models are helpful at an architectural level to guide systematic model-driven software development strategies by evaluating the impact of competing architectural choices.

• AADL
• Ada
• KAMI
• PCTL
• architectural quality
• autonomic systems
• consistency checking
• embedded systems
• formal models
• knowledge sharing
• model-based frameworks
• performance constraints
• software architecture
• software engineering
• structured analysis
• algorithm analysis and problem complexity

• Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milano, Italy

  Raffaela Mirandola

• Pacific Northwest National Laboratory, Computational and Information Sciences, Richland, USA

  Ian Gorton

• Computer Science Department, East Stroudsburg University, http://www.esu.edu/~chrish, East Stroudsburg, USA

  Christine Hofmeister

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