O-O Requirements Analysis: an Agent Perspective

Dubois, Éric; Bois, Philippe Du; Petit, Michaël

doi:10.1007/3-540-47910-4_23

Cited by 26 publications

(9 citation statements)

References 21 publications

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“…Dubois et al [8] employ temporal logic to specify the behaviours of agents, called agent level modelling, and the interactions between them, called society level modelling.…”

Section: Comparison and Conclusionmentioning

confidence: 99%

A methodology and modelling technique for systems of BDI agents

Kinny¹,

Georgeff²,

Rao³

1996

Lecture Notes in Computer Science

267

152

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The construction of large-scale embedded software systems demands the use of design methodologies and modelling techniques that support abstraction, inheritance, modularity, and other mechanisms for reducing complexity and preventing error. If multi-agent systems are to become widely accepted as a basis for large-scale applications, adequate agent-oriented methodologies and modelling techniques will be essential. This is not just to ensure that systems are reliable, maintainable, and conformant, but to allow their design, implementation, and maintenance to be carried out by software analysts and engineers rather than researchers. In this paper we describe an agent-oriented methodology and modelling technique for systems of agents based upon the Belief-Desire-Intention (BDI) paradigm. Our models extend existing Object-Oriented (OO) models. By building upon and adapting existing, well-understood techniques, we take advantage of their maturity to produce an approach that can be easily learnt and understood by those familiar with the OO paradigm.

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“…Dubois et al [8] employ temporal logic to specify the behaviours of agents, called agent level modelling, and the interactions between them, called society level modelling.…”

Section: Comparison and Conclusionmentioning

confidence: 99%

A methodology and modelling technique for systems of BDI agents

Kinny¹,

Georgeff²,

Rao³

1996

Lecture Notes in Computer Science

267

152

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“…ALBERT (agent-oriented language for building and elicitating requirements for real-time systems) [Dubois et al 1993] is a language that provides graphical features for structural descriptions and declarations and textural features for expressing various types of constraints. The main concepts behind ALBERT are those of agent, action, and perception where the notion .…”

Section: Troll 205mentioning

confidence: 99%

Troll

Jungclaus

Saake

Hartmann

et al. 1996

ACM Trans. Inf. Syst.

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and THORSTEN HARTMANN Technische University Braunschweig and CRISTINA SERNADAS Instituto Superior T6cnicoTROLL is a language particularly suited for the early stages of information system development, when the universe of discourse must be described. In TROLL the descriptions of the static and dynamic aspects of entities are integrated into object descriptions. Sublanguages for data terms, for first-order and temporal assertions, and for processes, are used to describe respectively the static properties, the behavior, and the evolution over time of objects. TROLL organizes system design through object-orientation and the support of abstractions such as classification, specialization, roles, and aggregation. Language features for state interactions and dependencies among components support the composition of the system from smaller modules, as does the facility of defining interfaces on top of object descriptions,

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“…The evolution of CLYDER continued and resulted in the ALBERT language, a declarative variant of CLYDER encompassing new constructs for modelling real-time cooperative, distributed systems [DDP93b]. The intended field of application of ALBERT is Computer Integrated Manufacturing.…”

Section: The Product Levelmentioning

confidence: 99%