Abstract
[Context and Motivation] In real-world organisations, business processes (BPs) are often described by means of natural language (NL) documents. Indeed, although semi-formal graphical notations exist to model BPs, most of the legacy process knowledge—when not tacit—is still conveyed through textual procedures or operational manuals, in which the BPs are specified. This is particularly true for public administrations (PAs), in which a large variety of BPs exist (e.g., definition of tenders, front-desk support) that have to be understood and put into practice by civil servants. [Question/problem] Incorrect understanding of the BP descriptions in PAs may cause delays in the delivery of services to citizens, or, in some cases, incorrect execution of the BPs. [Principal idea/results] In this paper, we present the development of an NLP-based tool named QuOD (Quality Analyser for Official Documents), oriented to detect linguistic defects in BP descriptions and to provide recommendations for improvements. [Contribution] QuOD is the first tool that addresses the problem of identifying NL defects in BP descriptions of PAs. The tool is available online at http://narwhal.it/quod/index.html.
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Berry, D., Gacitua, R., Sawyer, P., Tjong, S.F.: The case for dumb requirements engineering tools. In: Regnell, B., Damian, D. (eds.) REFSQ 2012. LNCS, vol. 7195, pp. 211–217. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28714-5_18
Berry, D.M., Kamsties, E., Krieger, M.M.: From contract drafting to software specification: linguistic sources of ambiguity (2003)
Chall, J.S., Dale, E.: Readability Revisited: The New Dale-Chall Readability Formula. Brookline Books, Cambridge (1995)
Chinosi, M., Trombetta, A.: BPMN: an introduction to the standard. Comput. Stand. Interfaces 34(1), 124–134 (2012)
Corradini, F., et al.: A guidelines framework for understandable BPMN models. Data Knowl. Eng. 113, 129–154 (2018)
Cutts, M.: The Plain English Guide. Oxford University Press, Oxford (1996)
Davies, M.: Word frequency data. http://www.wordfrequency.info/free.asp. Accessed 1 Aug 2015
De Angelis, G., Ferrari, A., Gnesi, S., Polini, A.: Collaborative requirements elicitation in a European research project. In: Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp. 1282–1289. ACM (2016)
De Angelis, G., Ferrari, A., Gnesi, S., Polini, A.: Requirements elicitation and refinement in collaborative research projects. J. Softw. Evol. Process 30(12), e1990 (2018)
De Angelis, G., Pierantonio, A., Polini, A., Re, B., Thönssen, B., Woitsch, R.: Modeling for learning in public administrations—the learn PAd approach. Domain-Specific Conceptual Modeling, pp. 575–594. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-39417-6_26
Dell’Orletta, F., Montemagni, S., Venturi, G.: Read-it: assessing readability of Italian texts with a view to text simplification. In: Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies, pp. 73–83. Association for Computational Linguistics (2011)
Ferrari, A., Dell’Orletta, F., Esuli, A., Gervasi, V., Gnesi, S.: Natural language requirements processing: a 4D vision. IEEE Softw. 34(6), 28–35 (2017)
Ferrari, A., Gnesi, S.: Using collective intelligence to detect pragmatic ambiguities. In: 20th IEEE International Requirements Engineering Conference (RE), pp. 191–200. IEEE (2012)
Ferrari, A., et al.: Detecting requirements defects with NLP patterns: an industrial experience in the railway domain. Empir. Softw. Eng. 23(6), 3684–3733 (2018)
Ferrari, A., Spagnolo, G.O., Witschel, H.F.: Learn PAd - deliverable D4.2 quality assessment strategies for contents (2019). https://doi.org/10.5281/zenodo.2643293
Ferrari, A., Witschel, H.F., Spagnolo, G.O., Gnesi, S.: Improving the quality of business process descriptions of public administrations: resources and research challenges. Bus. Process Manag. J. 24(1), 49–66 (2018)
Gnesi, S., Lami, G., Trentanni, G.: An automatic tool for the analysis of natural language requirements. IJCSSE 20(1), 53–62 (2005)
Hirst, G.: Semantic Interpretation and the Resolution of Ambiguity. Cambridge University Press, Cambridge (1992)
Leopold, H., Smirnov, S., Mendling, J.: On the refactoring of activity labels in business process models. Inf. Syst. 37(5), 443–459 (2012)
Massey, A.K., Rutledge, R.L., Anton, A., Swire, P.P., et al.: Identifying and classifying ambiguity for regulatory requirements. In: IEEE 22nd International Requirements Engineering Conference (RE), pp. 83–92. IEEE (2014)
Plain English Campaign: The A to Z of alternative words. http://www.plainenglish.co.uk/files/alternative.pdf
Sanne, U., Ferrari, A., Gnesi, S., Witschel, H.F.: Ensuring action: identifying unclear actor specifications in textual business process descriptions. In: Proceedings of the 8th International Conference on Knowledge Management and Information Sharing (KMIS). Springer (2016)
Silva, T.S., Thom, L.H., Weber, A., de Oliveira, J.P.M., Fantinato, M.: Empirical Analysis of Sentence Templates and Ambiguity Issues for Business Process Descriptions. In: Panetto, H., Debruyne, C., Proper, H., Ardagna, C., Roman, D., Meersman, R. (eds.) OTM 2018. LNCS, vol. 11229. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02610-3_16
Thönssen, B., Witschel, H.F., Rusinov, O.: Determining information relevance based on personalization techniques to meet specific user needs. In: Dornberger, R. (ed.) Business Information Systems and Technology 4.0. SSDC, vol. 141, pp. 31–45. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-74322-6_3
Trudeau, C.R.: The public speaks: an empirical study of legal communication. Scribes J. Leg. Writ. 14(2011–2012), 32 (2012)
UK Government: Content design: planning, writing and managing content. https://www.gov.uk/guidance/content-design/writing-for-gov-uk. Accessed 1 Aug 2015
University of Sheffield: JAPE: regular expressions over annotations. https://gate.ac.uk/sale/tao/splitch8.html. Accessed 1 Aug 2015
Yang, H., Roeck, A.N.D., Gervasi, V., Willis, A., Nuseibeh, B.: Analysing anaphoric ambiguity in natural language requirements. Requir. Eng. 16(3), 163–189 (2011)
Acknowledgments
This work was possible thanks to the seminal work of Stefania Gnesi and co-authors on the usage of rule-based NLP techniques for detecting ambiguity and other quality issues in requirements specifications [17].
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Ferrari, A., Spagnolo, G.O., Fiscella, A., Parente, G. (2019). QuOD: An NLP Tool to Improve the Quality of Business Process Descriptions. In: ter Beek, M., Fantechi, A., Semini, L. (eds) From Software Engineering to Formal Methods and Tools, and Back. Lecture Notes in Computer Science(), vol 11865. Springer, Cham. https://doi.org/10.1007/978-3-030-30985-5_17
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