Describing dynamic software architectures using an extended UML model

Kacem, Mohamed Hadj; Kacem, Ahmed Hadj; Jmaïel, Mohamed; Drira, Khalil

doi:10.1145/1141277.1141569

Cited by 16 publications

(8 citation statements)

References 12 publications

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“…Agent-internal concepts cover various types of existing agents. However, agent-external concepts 5. While one reviewer recommended splitting analysis from design by adding a third layer, this needs careful thought and testing beyond the constraints imposed for this current paper.…”

Section: Metamodel Creationmentioning

confidence: 99%

“…As a result, there are a number of metamodels developed for similar or overlapping domains of software engineering. For instance, there are various metamodels for aspectoriented programming (e.g., [1], [2], [3]), software architectures (e.g., [4], [5], [6]), and multiagent systems (MASs) (main focus of this paper) (e.g., [7], [8]). It would be useful if the different metamodels within the same domain of software engineering (e.g., domain of MAS) could be combined into one, or at least be subsumed by one, metamodel.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

FAML: A Generic Metamodel for MAS Development

Beydoun

Low

Henderson‐Sellers

et al. 2009

IIEEE Trans. Software Eng.

127

122

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In some areas of software engineering research, there are several metamodels claiming to capture the main issues. Though it is profitable to have variety at the beginning of a research field, after some time, the diversity of metamodels becomes an obstacle, for instance to the sharing of results between research groups. To reach consensus and unification of existing metamodels, metamodel-driven software language engineering can be applied. This paper illustrates an application of software language engineering in the agent-oriented software engineering research domain. Here, we introduce a relatively generic agent-oriented metamodel whose suitability for supporting modeling language development is demonstrated by evaluating it with respect to several existing methodology-specific metamodels. First, the metamodel is constructed by a combination of bottom-up and top-down analysis and best practice. The concepts thus obtained and their relationships are then evaluated by mapping to two agent-oriented metamodels: TAO and Islander. We then refine the metamodel by extending the comparisons with the metamodels implicit or explicit within five more extant agent-oriented approaches: Adelfe, PASSI, Gaia, INGENIAS, and Tropos. The resultant FAML metamodel is a potential candidate for future standardization as an important component for engineering an agent modeling language. Disciplines Physical Sciences and Mathematics Publication DetailsBeydoun, G., Low, G. Abstract-In some areas of software engineering research, there are several metamodels claiming to capture the main issues. Though it is profitable to have variety at the beginning of a research field, after some time, the diversity of metamodels becomes an obstacle, for instance to the sharing of results between research groups. To reach consensus and unification of existing metamodels, metamodel-driven software language engineering can be applied. This paper illustrates an application of software language engineering in the agent-oriented software engineering research domain. Here, we introduce a relatively generic agent-oriented metamodel whose suitability for supporting modeling language development is demonstrated by evaluating it with respect to several existing methodology-specific metamodels. First, the metamodel is constructed by a combination of bottom-up and top-down analysis and best practice. The concepts thus obtained and their relationships are then evaluated by mapping to two agent-oriented metamodels: TAO and Islander. We then refine the metamodel by extending the comparisons with the metamodels implicit or explicit within five more extant agent-oriented approaches: Adelfe, PASSI, Gaia, INGENIAS, and Tropos. The resultant FAML metamodel is a potential candidate for future standardization as an important component for engineering an agent modeling language.Index Terms-Modeling, metamodel, multiagent systems.

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Section: Metamodel Creationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

FAML: A Generic Metamodel for MAS Development

Beydoun

Low

Henderson‐Sellers

et al. 2009

IIEEE Trans. Software Eng.

127

122

View full text Add to dashboard Cite

show abstract

“…There is a well developed theory around the extensions of this language and the techniques to achieve it. According to [10] the extension mechanisms in UML 2.0 can be divided into "heavyweight" and "lightweight". The first approach allows modifications on the existing meta-models and creating new meta-models with no restrictions; the second approach preserves the meta-model, but it adds changes by applying constraints, stereotypes and profiles over the concepts of the core meta-model [11].…”

Section: A Language Extension Techniquesmentioning

confidence: 99%

An MDE Approach to Design Enterprise Architecture Viewpoints

Peña

Villalobos

2010

2010 IEEE 12th Conference on Commerce and Enterprise Computing

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Enterprise Architecture (EA) has risen as a tool to support the process of making strategic business decisions, by achieving an integral vision of business and IT elements of an enterprise. An EA approach provides a better understanding of relationships between concepts from several domains, such as strategy, process, applications, and information. However, this heterogeneous aspect makes EA modeling complex because there are many domain specific modeling languages that were not designed to be integrated. ArchiMate is an architecture description language (ADL) that provides a set of predefined viewpoints to model an EA and enhance the communication between business and IT people by establishing a common language. However, ArchiMate is not clear about the way to customize or create new viewpoints to integrate new domains. This paper describes a Model Driven Engineering (MDE) framework to support the EA modeling activity by taking the ArchiMate language as its foundation. The basis of this framework, are tools to specify ArchiMate and its future domain specific extensions. It also supports the composition and customization of these domains to define a common EA terminology. Finally, it offers tools to define customized viewpoints and to build the applications that stakeholders need to interact with the EA models.

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“…The literature reports evidence of the complexity of using formal techniques and languages to represent dynamic software architectures (HAN et al, 2005;KALLEL et al, 2012;SMAALI et al, 2014;OQUENDO, 2016) caused mainly by (KACEM et al, 2006): (i) their difficult learning and use -architects unfamiliar with them must devote considerable efforts and time on their use, and (ii) their uncommon use (e.g., in projects that involve static architecture). Therefore, communication among stakeholders is hampered, since most of them do not know those languages and techniques; besides, formal techniques and languages are rarely understood by those who are not part of the architecture design process.…”

Section: Motivation and Problemmentioning

confidence: 99%

“…One of the ways to mitigate the problem of using formal techniques and language to represent dynamic software architecture is to combine semi-formal techniques/languages (such as UML (MILADI et al, 2008)) with formal ones (e.g., graphs (KACEM et al, 2006) 1.3. Objectives 3 or Petri-nets (HUSSEIN et al, 2017)), thus reducing problems of communication among stakeholders, but not decreasing the efforts and time required.…”

Section: Motivation and Problemmentioning

confidence: 99%

Architectural Views to the Representation of Dynamic Software Architectures

Biazotto¹

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Presently, several critical application domains have adopted large, complex, and softwareintensive systems, whose architectural design demand special attention. Such systems, occasionally display dynamic architectures and specific structures are required for supporting changes at run-time. Moreover, many of them require high levels of reliability due to their critical domains. Towards ensuring reliability, formal languages/notations have been used to represent dynamism in software architectures, which demand efforts and time to be learned and to model architectures; besides, the resulting models are of difficult understanding. Moreover, most of these representation are incomplete, lacking some relevant information. To mitigate this problem, this Master's project proposes a set of architectural views and associate semi-formal techniques that support architects in the design of software architectures that present dynamism. This Master's project proposes a set of architectural views and associated semi-formal techniques for supporting architects in the design of software architectures that show dynamism. From results of a systematic mapping study, a conceptual model was elaborated towards delimiting the main concepts to be covered by the views. A set of fine views (general view, reconfiguration view, rippleeffect view, scenario view, and strategy view) was then defined and a proof of concept was conducted with the use of a system for the Healthcare Supportive Home Systems domain. The results show the feasibility and suitability of using the set in combination with the conceptual model and the associated techniques for representing dynamism in software architectures.

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Describing dynamic software architectures using an extended UML model

Cited by 16 publications

References 12 publications

FAML: A Generic Metamodel for MAS Development

FAML: A Generic Metamodel for MAS Development

An MDE Approach to Design Enterprise Architecture Viewpoints

Architectural Views to the Representation of Dynamic Software Architectures

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