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Software Requirement Elicitation Using Natural Language Processing

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Innovations in Bio-Inspired Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 424))

Abstract

Software requirements are usually written in natural language or speech language which is asymmetric and irregular. This paper presents a suitable method for transforming user software requirement specifications (SRS) and business designs written in natural language into useful object oriented models. For sentence detection, tokenization, parts of speech tagging and parsing of requirement specifications we incorporate an open natural language processing (OpenNLP)tool. It provides very relevant parts of speech (POS) tags. This parts of speech tagging of the SRS is quite useful for further identification of object oriented elements like classes, objects, attributes, relationships etc. After obtaining the required and relative information, Semantic Business Vocabulary and Rules (SBVR) are applied to identify and to extract the object oriented elements from the requirement specification.

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Correspondence to Murali Mohanan .

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Mohanan, M., Samuel, P. (2016). Software Requirement Elicitation Using Natural Language Processing. In: Snášel, V., Abraham, A., Krömer, P., Pant, M., Muda, A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-28031-8_17

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  • DOI: https://doi.org/10.1007/978-3-319-28031-8_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28030-1

  • Online ISBN: 978-3-319-28031-8

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