A Framework Integrating Problem Frames and Goal Modeling to Support Variability Analysis during Requirements Elicitation

Author(s)
MEETUSHI
Advisor
Seok-Won Lee
Department
일반대학원 컴퓨터공학과
Publisher
The Graduate School, Ajou University
Publication Year
2016-08
Language
eng
Keyword
i* goal modelproblem framesuse case maps and live sequence charts
Alternative Abstract
Variability management is the foremost criterion that defines to what extent complexities can be handled in the system. Predominantly the requirements engineering (RE) study overlooks, or speculate a consistent behavior of, the environment where a system functions. But in real time systems it is vital to observe and adjust to an intrinsically changing context. Requirements and variabilities are strongly related to each other. Variabilities assist in determining the requirements of the system in various contexts and analyzing the various obstacles the system might face in different contexts and also increase system robustness. A framework that makes it possible to capture and evaluate requirements of the system in various contexts is still missing. So to resolve this concern, we recommend a framework to analyze requirements of a system in various contexts using i* goal model, problem frames, use case maps and live sequence charts. The integration helps to evaluate objectives of the system additionally with system contexts. The scenarios associated with the context are elaborated further using use case maps and live sequence charts which assists in analyzing changes in contexts and the corresponding changes in requirements in detail. Furthermore scenarios are annotated with preconditions and post conditions which assist in elaborating requirements for obstacle analysis and conflict analysis. The main objective of this approach is to familiarize software engineers with problem frames, use case maps and live sequence charts engineers, who are used to the concepts of scenario-based modeling. To corroborate the efficacy of our approach we evaluate our proposed framework by using smart grid RTP system.
URI
https://dspace.ajou.ac.kr/handle/2018.oak/13324
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Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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