Abstract
This paper presents a novel approach to automate the process of software requirements elicitation and specification. The software requirements elicitation is perhaps the most important phase of software development as a small error at this stage can result in absurd software designs and implementations. The automation of the initial phase (such as requirement elicitation) phase can also contribute to a long standing challenge of automated software development. The presented approach is based on Semantic of Business Vocabulary and Rules (SBVR), an OMG’s recent standard. We have also developed a prototype tool SR-Elicitor (an Eclipse plugin), which can be used by software engineers to record and automatically transform the natural language software requirements to SBVR software requirements specification. The major contribution of the presented research is to demonstrate the potential of SBVR based approach, implemented in a prototype tool, proposed to improve the process of requirements elicitation and specification.
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References
Denger, C., Berry, D.M., Kamsties, E.: Higher Quality Requirements Specifications through Natural Language Patterns. In: Proceedings of IEEE International Conference on Software-Science, Technology \& Engineering (SWSTE 2003), pp. 80–85 (2003)
Ormandjieva, O., Hussain, I., Kosseim, L.: Toward A Text Classification System for the Quality Assessment of Software Requirements written in Natural Language. In: 4th International Workshop on Software Quality Assurance (SOQUA 2007), pp. 39–45 (2007)
Tobias, K.: Controlled English for Knowledge Representation. Doctoral Thesis. Faculty of Economics, Business Administration and Information Technology of the University of Zurich (2010)
OMG. Semantics of Business vocabulary and Rules. (SBVR) Standard v.1.0. Object Management Group (2008), http://www.omg.org/spec/SBVR/1.0/ To insert individual citation into a bibliography in a word-processor, select your preferred citation style below and drag-and-drop it into the document
Spreeuwenberg, S., Healy, K.A.: SBVR’s Approach to Controlled Natural Language. In: Fuchs, N.E. (ed.) CNL 2009. LNCS, vol. 5972, pp. 155–169. Springer, Heidelberg (2010)
Ilieva, M.G., Ormandjieva, O.: Automatic transition of natural language software requirements specification into formal presentation. In: Montoyo, A., Muńoz, R., Métais, E. (eds.) NLDB 2005. LNCS, vol. 3513, pp. 392–397. Springer, Heidelberg (2005)
Toutanova, K., Manning, C.D.: Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger. In: The Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, Hong Kong, pp. 63–70 (2000)
Fuchs, N.E., Kaljurand, K., Kuhn, T.: Attempto Controlled English for Knowledge Representation. In: Baroglio, C., Bonatti, P.A., Małuszyński, J., Marchiori, M., Polleres, A., Schaffert, S. (eds.) Reasoning Web. LNCS, vol. 5224, pp. 104–124. Springer, Heidelberg (2008)
White, C., Rolf, S.: An Update on PENG Light. In: Proceedings of ALTA 2009, pp. 80–88 (2009)
Clark, P., Murray, W.R., Harrison, P., Thompson, J.: Naturalness vs. Predictability: A key debate in controlled languages. In: Fuchs, N.E. (ed.) CNL 2009. LNCS, vol. 5972, pp. 65–81. Springer, Heidelberg (2010)
Martin, P.: Knowledge representation in CGLF, CGIF, KIF, frame-CG and formalized-english. In: Priss, U., Corbett, D.R., Angelova, G. (eds.) ICCS 2002. LNCS (LNAI), vol. 2393, pp. 77–91. Springer, Heidelberg (2002)
Schwitter, R.: Controlled Natural Languages for Knowledge Representation. In: Coling 2010. Poster vol., Beijing, pp. 1113–1121 (August 2010)
Huijsen, W.O.: Controlled Language –An Introduction. In: Proceedings of CLAW 1998, pp. 1–15 (1998)
Hirschman, L., Thompson, H.S.: Chapter 13 evaluation: Overview of evaluation in speech and natural language processing. In: Survey of the State of the Art in Human Language Technology (1995)
Bajwa, I.S., Samad, A., Mumtaz, S.: Object Oriented Software modeling Using NLP based Knowledge Extraction. European Journal of Scientific Research 35(01), 22–33 (2009)
Bajwa, I.S., Lee, Mark, G., Behzad, B.: SBVR Business Rules Generation from Natural Language Specification. In: AAAI Spring Symposium 2011, San Francisco, USA, pp. 2–8 (2011)
Bajwa, I.S., Choudhary, M.A.: A Rule Based System for Speech Language Context Understanding. Journal of Donghua University 23(6), 39–42 (2006)
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Umber, A., Bajwa, I.S., Asif Naeem, M. (2011). NL-Based Automated Software Requirements Elicitation and Specification. In: Abraham, A., Lloret Mauri, J., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22714-1_4
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DOI: https://doi.org/10.1007/978-3-642-22714-1_4
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