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http://dx.doi.org/10.3745/KTSDE.2017.6.4.193

An Integrated Method of Iterative and Incremental Requirement Analysis for Large-Scale Systems  

Park, Jisung (삼성SDS)
Lee, Jaeho (서울시립대학교 전자전기컴퓨터공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.6, no.4, 2017 , pp. 193-202 More about this Journal
Abstract
Development of Intelligent Systems involves effective integration of large-scaled knowledge processing and understanding, human-machine interaction, and intelligent services. Especially, in our project for development of a self-growing knowledge-based system with inference methodologies utilizing the big data technology, we are building a platform called WiseKB as the central knowledge base for storing massive amount of knowledge and enabling question-answering by inferences. WiseKB thus requires an effective methodology to analyze diverse requirements convoluted with the integration of various components of knowledge representation, resource management, knowledge storing, complex hybrid inference, and knowledge learning, In this paper, we propose an integrated requirement analysis method that blends the traditional sequential method and the iterative-incremental method to achieve an efficient requirement analysis for large-scale systems.
Keywords
Requirement Analysis; Large-Scale System; Big Data;
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  • Reference
1 IBM Systems and Technology Group, Watson: A System Designed for Answers: The future of workload optimized systems design. IBM White Paper, IBM Corporation, 2011.
2 A. Singhal, "Introducing the Knowledge Graph: things, not strings," Google Blog, 2012.
3 I. Sommerville, "Software Engineering Ninth Edition," Pearson, pp.30-32, 2011.
4 I. Sommerville, "Software Engineering Ninth Edition," Pearson, pp.57-62, 2011.
5 C. Lan et al., "Agile Requirements Engineering Practices: An Empirical Study," IEEE, Software, Vol.25, pp.60-67, 2008.
6 B. Dano et al., "A use case driven requirements engineering process," Requirements Engineering, Vol.2, pp.79-91, 1997.   DOI
7 B. Nuseibeh, "Weaving together requirements and architectures," Computer, Vol.34, pp.115-119, 2001.
8 Hickey, Ann. et al., Prototyping for requirements elicitation and validation: A participative prototype evaluation methodology, 1998.
9 J. Vijayan et al., "A New approach to Requirements Elicitation Using Paper Prototype," International Journal of Advanced Science and Technology, Vol.28, pp.9-16, 2011.
10 G. Press, A Very Short History Of Big Data, Forbes, 2013.
11 W. Koff et al., DATA rEVOLUTION, Computer Science Corporation, 2011.
12 D. Laney, 3D Data Management: Controlling Data Volume, Velocity, and Variety, META Group, 2001.
13 F. M. Suchanek et al., "Knowledge Bases in the Age of Big Data Analytics," Proceedings of the VLDB Endowment, Vol. 7, 2014.
14 D. Vesset et al., Worldwide Big Data Technology and Services 2012-2015 Forecast, IDC, 2012.
15 K. Dervojeda et al., Business Innovation Observatory: Case study-Big Data-Artificial Intelligence, European Union, 2013.