4th International Workshop on Software Engineering for Large-Scale Multi-Agent Systems
St. Louis, Missouri, USA, 15/05/2005–16/05/2005
Software is becoming present in every aspect of our lives, pushing us inevitably towards a world of distributed, context-aware computing systems. Multi-agent systems are a prominent technology to model and develop context-aware computing systems, as MAS intrinsically consist of large numbers of cooperating entities that consider their context in performing their task. Thus, the role of context has recently gained great importance in the field of agent-based computing.
As a result, the development of such context-aware multi-agent systems poses increasing challenges for software engineering teams. Multi-agent systems may comprise a large number of software agents, which operate in heterogeneous contexts. Agents may have varied skills and may also be self-interested, unpredictable, and mobile. Thus, the challenges posed by the agent paradigm require the development and refinement of new techniques, practices, and tools that build upon sound engineering principles.
topics of interest
The workshop is intended to cover a wide range of topics of software engineering for large-scale multi-agent systems, from theoretical foundations to empirical studies, including the following (but not limited to):
- Frameworks and software architectures
- Design patterns, design principles, and architectural styles
- Aspect-oriented techniques to MAS development
- Modeling languages
- Methodologies for agent-oriented analysis and design
- Pitfalls and learned lessons in the construction of large MAS
- Experiments and case studies
- Reflective software architectures
- Coordination architectures, infrastructures, and tools
- Domain-specific languages
- Requirements engineering
- Software reliability engineering
- Exception handling and fault-tolerance techniques
- Mobility and security issues
- Trustability issues
- Software engineering techniques for resource-bounded MAS
- Verification and validation techniques
- Testing and metrics
- Software development environments
- Comparative studies between the agent-oriented paradigm and other paradigms
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ICSE 2005
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