Incorporating the elements of the mase methodology into agent open

Enterprise-wide, web-based systems can be assisted in their construction by the use of agents and an agent-oriented methodology. As part of an extensive research programme to create such an AO methodology by combining the benefits of method engineering and existing object-oriented frameworks (notably the OPF), we have analysed here contributions to the OPF repository of process components from the MASE agent-oriented methodology, identifying three new Tasks, one additional Technique and two new Work Products

Forum Session at the First International Conference on Service Oriented Computing (ICSOC03)

The First International Conference on Service Oriented Computing (ICSOC) was held in Trento, December 15-18, 2003. The focus of the conference ---Service Oriented Computing (SOC)--- is the new emerging paradigm for distributed computing and e-business processing that has evolved from object-oriented and component computing to enable building agile networks of collaborating business applications distributed within and across organizational boundaries. Of the 181 papers submitted to the ICSOC conference, 10 were selected for the forum session which took place on December the 16th, 2003. The papers were chosen based on their technical quality, originality, relevance to SOC and for their nature of being best suited for a poster presentation or a demonstration. This technical report contains the 10 papers presented during the forum session at the ICSOC conference. In particular, the last two papers in the report ere submitted as industrial papers

Managing Large Scale Project Analysis Teams through a Web Accessible Database

Large scale space programs analyze thousands of requirements while mitigating safety, performance, schedule, and cost risks. These efforts involve a variety of roles with interdependent use cases and goals. For example, study managers and facilitators identify ground-rules and assumptions for a collection of studies required for a program or project milestone. Task leaders derive product requirements from the ground rules and assumptions and describe activities to produce needed analytical products. Disciplined specialists produce the specified products and load results into a file management system. Organizational and project managers provide the personnel and funds to conduct the tasks. Each role has responsibilities to establish information linkages and provide status reports to management. Projects conduct design and analysis cycles to refine designs to meet the requirements and implement risk mitigation plans. At the program level, integrated design and analysis cycles studies are conducted to eliminate every 'to-be-determined' and develop plans to mitigate every risk. At the agency level, strategic studies analyze different approaches to exploration architectures and campaigns. This paper describes a web-accessible database developed by NASA to coordinate and manage tasks at three organizational levels. Other topics in this paper cover integration technologies and techniques for process modeling and enterprise architectures

Data analysis for agent based mobile services

One of the high interesting areas in the distributed systems is the problem of building and running pervasive computing services for mobile users. The central point for building such a services is to appropriately model the physical and data environment. In this paper we concentrate on the data part of such an environment that would enable creating a general scheme for a category of flexible services for mobile users. We define the basic profile of the users and methods, how the services should deal with the profiles. For modeling the presence of the user in the data environment (even if he/she is off-line) the agent-based solution was chosen, so the distributed system is build as a multi-agent system

Model driven validation approach for enterprise architecture and motivation extensions

As the endorsement of Enterprise Architecture (EA) modelling continues to grow in diversity and complexity, management of its schema, artefacts, semantics and relationships has become an important business concern. To maintain agility and flexibility within competitive markets, organizations have also been compelled to explore ways of adjusting proactively to innovations, changes and complex events also by use of EA concepts to model business processes and strategies. Thus the need to ensure appropriate validation of EA taxonomies has been considered severally as an essential requirement for these processes in order to exert business motivation; relate information systems to technological infrastructure. However, since many taxonomies deployed today use widespread and disparate modelling methodologies, the possibility to adopt a generic validation approach remains a challenge. The proliferation of EA methodologies and perspectives has also led to intricacies in the formalization and validation of EA constructs as models often times have variant schematic interpretations. Thus, disparate implementations and inconsistent simulation of alignment between business architectures and heterogeneous application systems is common within the EA domain (Jonkers et al., 2003). In this research, the Model Driven Validation Approach (MDVA) is introduced. MDVA allows modelling of EA with validation attributes, formalization of the validation concepts and transformation of model artefacts to ontologies. The transformation simplifies querying based on motivation and constraints. As the extended methodology is grounded on the semiotics of existing tools, validation is executed using ubiquitous query language. The major contributions of this work are the extension of a metamodel of Business Layer of an EAF with Validation Element and the development of EAF model to ontology transformation Approach. With this innovation, domain-driven design and object-oriented analysis concepts are applied to achieve EAF model’s validation using ontology querying methodology. Additionally, the MDVA facilitates the traceability of EA artefacts using ontology graph patterns

Managing Complexity with the Department of Defense Architecture Framework: Development of a Dynamic System Architecture Model

Architecture frameworks are tools for managing system complexity by structuring data in a common language and format. By characterizing the form, function, and rules governing systems, architecture frameworks serve as a communication tool to stakeholder communities with different views of the system and facilitate comparative evaluation across architectures. The goal of this research is to explore the applicability of architecture frameworks to the study of emergent properties of satellites. The U.S. Department of Defense Architecture Framework was selected to achieve this goal given its orientation towards technical systems in contrast to the majority of architecture frameworks focused on business enterprises. Although developed by military planners in the 1990’s to support the acquisition of interoperable information systems, the Department of Defense Architecture Framework can be used to connect operational concepts and capabilities to the technical architecture of any system. While the views of the Department of Defense Architecture Framework are well-defined, little guidance is provided on how the views are to be constructed. Vitech Corporation’s software program CORE,® a systems engineering modeling tool with the ability rapidly to produce architecture views from a common data repository, was employed to complete Department of Defense Architecture Frameworks for the Hubble Space Telescope. Upon characterizing Hubble within this common structure, the value of the Department of Defense Architecture Framework for conducting dynamic quantitative analyses of system architectures was explored. A methodology is proposed and tested for evaluating human and robotic architectures for on-orbit servicing—the extension of the useful life of spacecraft through refueling, upgrading, repair, relocation, et al. In particular, a multi-year servicing campaign is modeled for Hubble including behavioral threads that characterize the Orbiting Observatory, servicing architecture, and science customers. Preliminary results indicate that, when coupled with an executable model, the Department of Defense Architecture Framework can be utilized for dynamic quantitative evaluation of space system architectures. The paper concludes with lessons learned from using the Department of Defense Architecture Framework and proposes improvements for the application of its static views to model-based systems engineering