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논문 기본 정보

자료유형
학술저널
저자정보
Ahmed Abdo Ali Saeed (Ajou University) Seok-Won Lee (Ajou University)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제24권 제3호(통권 제180호)
발행연도
2019.3
수록면
65 - 75 (11page)

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초록· 키워드

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Non-Functional Requirements (NFR) play a crucial role during the software development process. Currently, NFRs are considered more important than Functional Requirements and can determine the success of a software system. NFRs can be very complicated to understand due to their subjective manner and especially their conflicting nature. Self-adaptive systems (SAS) are operating in dynamically changing environment. Furthermore, the configuration of the SAS systems is dynamically changing according to the current systems context. This means that the configuration that manages the trade-off between NFRs in this context may not be suitable in another. This is because the NFRs satisfaction is based on a per-context basis. Therefore, one context configuration to satisfy one NFR may produce a conflict with another NFR. Furthermore, current approaches managing Non-Functional Requirements trade-off stops managing them during the system runtime which of concern. To solve this, we propose fragmentizing the NFRs and their alternative solutions in form of Multi-entity Bayesian network fragments. Consequently, when changes occur, our system creates a situation specific Bayesian network to measure the impact of the system’s conditions and environmental changes on the NFRs satisfaction. Moreover, it dynamically decides which alternative solution is suitable for the current situation.

목차

Abstract
I. Introduction
II. Related Works
III. Proposed Approach
IV. Evaluation
V. Discussion
VI. Conclusions and Future Work
REFERENCES

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