Abstract
The traditional model-driven developing methods in requirement engineering (RE) have met challenges. Under the dropback of big data, we propose a new framework of software design method based on requirement data. Given a set of requirement data, which are usually acquired directly from users’ intuitive descriptions about systems, we consider the method to analyze them and extract useful information from them in order to build the formal specifications of systems. Here the ‘data’ could be any form and could describe any prospect of functionalities of systems, the ‘model’ could be any types of formal models like process algebra, automata, or some forms of state-diagrams. We limit the scope of our discussion in this paper to a special type of data and formal models. We first use some simple examples to clarify the general idea of ‘data-driven’ we propose. Then as a case study, we apply this idea to the requirement specification of a special type of systems—spatial-temporal systems by proposing a special formal model in order to capture the spatial-time features of them.
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Zhang, Y., Chen, Y., Ma, Y. (2015). A Framework for Data-Driven Automata Design. In: Liu, L., Aoyama, M. (eds) Requirements Engineering in the Big Data Era. Communications in Computer and Information Science, vol 558. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48634-4_3
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DOI: https://doi.org/10.1007/978-3-662-48634-4_3
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