MDE and MDA in a Multi-Paradigm Modeling Perspective

Author(s):  
Ambra Molesini ◽  
Enrico Denti ◽  
Andrea Omicini

Since most complex software systems are intrinsically multi-paradigm, their engineering is a challenging issue. Multi-paradigm modeling (MPM) aims at facing the challenge by providing concepts and tools promoting the integration of models, abstractions, technologies, and methods originating from diverse computational paradigms. In this chapter, the authors survey the main MPM approaches in the literature, evaluate their strengths and weaknesses, and compare them according to three main criteria—namely, (1) the software development process, (2) the adoption of meta-model techniques, (3) the availability of adequate supporting tools. Furthermore, the authors explore the adoption of other promising approaches for the engineering of multi-paradigm systems, such as multi-agent systems (MAS) and systems of systems (SoS), and discuss the role of situational process engineering (SPE) in the composition of multi-paradigm software processes.

2004 ◽  
Vol 19 (1) ◽  
pp. 1-25 ◽  
Author(s):  
SARVAPALI D. RAMCHURN ◽  
DONG HUYNH ◽  
NICHOLAS R. JENNINGS

Trust is a fundamental concern in large-scale open distributed systems. It lies at the core of all interactions between the entities that have to operate in such uncertain and constantly changing environments. Given this complexity, these components, and the ensuing system, are increasingly being conceptualised, designed, and built using agent-based techniques and, to this end, this paper examines the specific role of trust in multi-agent systems. In particular, we survey the state of the art and provide an account of the main directions along which research efforts are being focused. In so doing, we critically evaluate the relative strengths and weaknesses of the main models that have been proposed and show how, fundamentally, they all seek to minimise the uncertainty in interactions. Finally, we outline the areas that require further research in order to develop a comprehensive treatment of trust in complex computational settings.


2019 ◽  
pp. 157-176
Author(s):  
Vaibhav Katewa ◽  
Fabio Pasqualetti ◽  
Vijay Gupta

Author(s):  
Franco Zambonelli ◽  
Nicholas R. Jennings ◽  
Michael Wooldridge

The multi-agent system paradigm introduces a number of new design/development issues when compared with more traditional approaches to software development and calls for the adoption of new software engineering abstractions. To this end, in this chapter, we elaborate on the potential of analyzing and architecting complex multi-agent systems in terms of computational organizations. Specifically, we identify the appropriate organizational abstractions that are central to the analysis and design of such systems, discuss their role and importance, and show how such abstractions are exploited in the context of the Gaia methodology for multi-agent systems development.


Author(s):  
Manuel Kolp ◽  
Yves Wautelet ◽  
Sodany Kiv ◽  
Vi Tran

Multi-Agent Systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed, and evolving software required by today’s corporate IT applications such as e-business systems, Web services or enterprise knowledge bases. Since the fundamental concepts of multi-agent systems are social and intentional rather than object, functional, or implementation-oriented, the design of MAS architectures can be eased by using social-driven templates. They are detailed agent-oriented design idioms to describe MAS architectures as composed of autonomous agents that interact and coordinate to achieve their intentions, like actors in human organizations. This paper presents social patterns, as well as organizational styles, and focuses on a framework aimed to gain insight into these templates. The framework can be integrated into agent-oriented software engineering methodologies used to build MAS. We consider the Broker social pattern to illustrate the framework. The mapping from system architectural design (through organizational architectural styles), to system detailed design (through social patterns), is overviewed with a data integration case study. The automation of patterns design is also overviewed.


Author(s):  
LILY CHANG ◽  
XUDONG HE ◽  
SOL M. SHATZ

In the past two decades, multi-agent systems have emerged as a new paradigm for conceptualizing large and complex distributed software systems. Even though there are many conceptual frameworks for using multi-agent systems, there is no well established and widely accepted method for the representation of multi-agent systems. We adapt a well-known formal model, predicate transition nets, to include the notions of dynamic structure, agent communication and coordination to address the representation problems. This paper presents a comprehensive methodology for modeling multi-agents based on the extensions. We demonstrate our modeling approach with an example. Several case studies on different application domains from our previous works are also discussed.


Author(s):  
Rory V. O'Connor ◽  
Shuib Basri

Software and systems engineering is distinct from other forms of engineering as it deals with an intangible product, where the progress in construction is not explicitly visible and team members often rely on the documentation of others to follow and review progress. Furthermore unlike traditional engineering disciplines, there is no single standardized unified process. The role of knowledge management in the software engineering literature is becoming more evident, as the software development activity is essentially a human knowledge intensive activity and is seen by many as a key factor. This paper discusses the role of software development knowledge management within software development process and specifically how software development knowledge is managed in software development in order to support software process improvement and the role of knowledge management in this. The authors present the results of a study of knowledge management process practices in very small software companies and discusses these under the major identified issues of: Communication; Learning and sharing; Documentation and Knowledge management process and commitment. The findings in this study give an insight towards knowledge management practices as they relate to software development process practices in very small companies and the important factors that must be considered to preserve knowledge and quality software.


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