Electrical Engineering and Computer Science Faculty Publications
Document Type
Article
Publication Title
Advances in Science, Technology and Engineering Systems
Abstract
The development of agent-based systems is negatively impacted by the lack of process standardization across the major development phases, such as the requirements analysis phase. This issue creates a key barrier for agent technology stockholders regarding comprehending and analyzing complexity associated with these systems specifications. Instead, such fundamental low-level infrastructure is loosely attended to in an ad-hoc fashion, and important aspects of requirements analysis are often neglected altogether. The IEEE Std 830 model is a recommended practice aimed at describing how to write better quality requirement specifications of conventional software. Knowing that agent-based computing is a natural and logical evolution of the conventional approaches to software development, we believe that the requirements phase in agent-based systems can benefit from applying the IEEE Std 830 model which results in high-quality and more accepted artifacts. This article provides a criteriabased evaluation that is derived from the software engineering body of knowledge guide to assessing the adoption degree of agent-oriented methodologies to software requirements standards. Then, it proposes a model-driven approach to restructuring and extending the IEEE Std 830-2009 standard model to specify requirements of agent-based systems. To evaluate the applicability and usefulness of the updated model, we design a research study that allows practicing the model with simple real-world problem scenarios and conducting a summative survey to solicit feedback on the model usages. © 2018 Advances in Science, Technology and Engineering Systems.All right reserved.
First Page
80
DOI
10.25046/aj030311
Publication Date
2018
Recommended Citation
Slhoub, Khaled and Carvalho, Marco, "Towards process standardization for requirements analysis of agent-based systems" (2018). Electrical Engineering and Computer Science Faculty Publications. 346.
https://repository.fit.edu/ces_faculty/346