Essential modeling extracts essential user requirements [4, 6, 11. Here, we propose using essential model to identify, organize, and present essential requirements of users for object-oriented projects. Comparcd with an analysis model, an essential model does not decompose the problem of a project or suggest any solution for the problem. An essential model crystallizes externally visible requir...

A common tool for improving the performance quality of natural language processing systems is the use of contextual information for disambiguation. Here I describe the use of a finite state machine (FSM) to disambiguate speech acts in a machine translation system. The FSM has two layers that model, respectively, the global and local structures found in naturally-occurring conversations. The FSM...

This position paper takes a bottom-up approach that analyzes the suitability of UML for modeling aspect-oriented software, and compares it with the UML support for modeling object-oriented software. We first introduce the basic concepts of AspectJ, a state-of-the-art aspect-oriented programming language, and then take a naïve approach using standard UML, as it is, for modeling these concepts. A...

Crosscutting concerns are pervasive in embedded software, because of the various constraints imposed by the environment and the stringent QOS requirements on the system. This paper presents a framework for modularizing crosscutting concerns in embedded and distributed software, and automating their composition at the modeling level, for simulation and validation purposes. The proposed approach ...

This work introduces Expectation-oriented Modeling (EOM) as a conceptual and formal framework for the modeling and in uencing of blackor gray-box agents and agent interaction from the viewpoint of modelers like arti cial agents and application designers. EOM is unique in that autonomous agent behavior is not restricted in advance, but only if it turns out to be necessary at runtime, and does so...

A standard way of describing requirements for system design is according to function. One describes high level functions of the operation of the system and decomposes these into lower level functions which perhaps overlap. For complex systems the number of functions can be large and they may interact, making it important to have a methodical way of describing the structure of functions and thei...

• Behavior-oriented modeling1: The modeler builds a model that exhibits dynamic behavior through simulation of the organization. • Analysis-oriented modeling: The modeler uses a set of related descriptors that enables a structured representation of an organization’s salient features, but that excludes simulation of the organization’s behavior. The emphasis is on analysis and diagnosis. (The bes...

Existing empirical research on the business value of Service-Oriented Architectures (SOA) has only measured the extent of SOA adoption – but not maturity – to determine whether typical goals, like increased business agility or IT cost reduction, could be achieved. However, a widely implemented SOA might be less mature than an SOA adopted only in particular areas of the organization, which in tu...

The discipline of Agent Oriented Software Engineering (AOSE) has emerged during the last decade. In this domain, methodologies and modeling techniques have been suggested in order to support the development process of agent-based systems. Both the scientific and industrial communities have recognized the potential advantages of agent-based systems. Nevertheless, the number of deployed commercia...