Knowledge Commons of Institute of Automation,CAS
A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis | |
Xi-Wen Wu1; Chen Li2; Xuan Wang3; Hong-Ji Yang3 | |
发表期刊 | International Journal of Automation and Computing
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ISSN | 1476-8186 |
2019 | |
卷号 | 16期号:2页码:248-260 |
摘要 | In software engineering, a scenario describes an anticipated usage of a software system. As scenarios are useful to understand the requirements and functionalities of a software system, the scenario-based analysis is widely used in various tasks, especially in the design stage of software architectures. Although researchers have proposed various scenario-based approaches to analyse software architecture, there are still limitations in this research field, and a key limitation is that scenarios are typically not formally defined and thus may contain ambiguities. As these ambiguities may lead to defects, it is desirable to reduce them as many as possible. In order to reduce ambiguity in scenario-based software architecture analysis, this paper introduces a creative computing approach to scenario-based software requirements analysis. Our work expands this idea in three directions. Firstly, we extend an architecture description language (ADL)-based language – Breeze/ADL to model the software architecture. Secondly, we use a creative rule – combinational rule (CR) to combine the vector clock algorithm for reducing the ambiguities in modelling scenarios. Then, another creative rule – transformational rule (TR) is employed to help to transform our Breeze/ADL model to a popular model – unified modelling language (UML) model. We implement our approach as a plugin of Breeze, and illustrate a running example of modelling a poetry to music system in our case study. Our results show the proposed creative approach is able to reduce ambiguities of the software architecture in practice. |
关键词 | Creative computing vector clock algorithm scenario-based analysis of software architecture sequence diagram Breeze/architecture description language (ADL). |
DOI | 10.1007/s11633-017-1102-y |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/42335 |
专题 | 学术期刊_Machine Intelligence Research |
作者单位 | 1.Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China 2.Department of Computing, Imperial College London, London SW7 2AZ, UK 3.Center for Creative Computing, Bath Spa University, Bath BA2 9BN, UK |
推荐引用方式 GB/T 7714 | Xi-Wen Wu,Chen Li,Xuan Wang,et al. A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis[J]. International Journal of Automation and Computing,2019,16(2):248-260. |
APA | Xi-Wen Wu,Chen Li,Xuan Wang,&Hong-Ji Yang.(2019).A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis.International Journal of Automation and Computing,16(2),248-260. |
MLA | Xi-Wen Wu,et al."A Creative Approach to Reducing Ambiguity in Scenario-based Software Architecture Analysis".International Journal of Automation and Computing 16.2(2019):248-260. |
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