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Requirements Elicitation for Adaptive Socio-technical Systems using Repertory Grid: A Cognitive Approach
- Author(s)
- DEY, SANGEETA
- Advisor
- Seok-Won Lee
- Department
- 일반대학원 컴퓨터공학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2015-08
- Language
- eng
- Keyword
- Computer Science; Requirements engineering
- Alternative Abstract
- The growing complexity and dynamics of the execution environment have been major motivation for designing self-adaptive systems. Such systems are expected to change their behavior based on the current situation and the user’s preference. Although significant work can be found in the field of formalizing or modeling the requirements of adaptive system, not enough attention has been paid towards the requirements elicitation techniques for the same. For a complex domain like Socio-technical system, it is still an open challenge to elicit the users’ requirements in the light of various contexts and introduce the required flexibility in the system’s behavior at an early phase of requirements engineering. User often finds it difficult to clearly specify her need in terms of the features of the system-to-be. Especially when multiple aspects of contexts affect the user’s preferences, it becomes even more complex to explain them. As a result, it becomes doubly difficult for the requirements engineer and analyst to understand the problem domain and design accordingly. In order to address this problem, we explore the idea of using a cognitive technique, repertory grid, to acquire the knowledge of various stakeholders along multiple dimensions of problem space and design space. We aim at discovering the scope of variations in the features of the system by capturing the intentional and technical variability in the problem space and design space respectively. A stepwise methodology for exploring the design space and finding the right set of features in the changing context has also been provided in this work. We also developed and automation tool which can help the user and the analyst to analyze the knowledge captured in multiple repertory grid files. We evaluate the proposed idea by a case study involving eight subjects and using smart home system domain.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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