Abstract
[Context and motivation] In the early phases of requirements engineering, often graphical models are used to communicate requirements. In particular, business process models in graphical languages such as BPMN can help to explain the process that a software system should support. These models can then be used to derive more detailed requirements. [Question/Problem] Often, such models are incomplete (showing only the most important cases) or contain labels in natural language that are prone to ambiguities and missing information. The requirements engineer has to identify missing / ambiguous information manually. The aim of this paper is to discuss certain classes of such potential problems and how they can be found automatically. [Principal ideas/results] First, we analyzed a collection of business process models and found that they frequently contain typical types of problems. Second, we described those potential problems in a formal way. We present a catalogue of indicators for potential problems and suggest questions to be asked by a requirements engineer for getting additional information about the depicted process. We also developed a tool prototype that uses a combination of linguistic analysis and inspection of the control flow. This tool prototype was applied to 2098 business process models. [Contribution] The paper presents a catalogue of potential problems in business process models. It also shows how these problems can be identified automatically.
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References
Becker, J., Delfmann, P., Eggert, M., Schwittay, S.: Generalizability and applicability of model-based business process compliance-checking approaches a state-of-the-art analysis and research roadmap. BuR - Bus. Res. 5(2), 221–247 (2012)
Berry, D.M., Kamsties, E., Krieger, M.M.: From Contract Drafting to Software Specification: Linguistic Sources of Ambiguity, A Handbook (2003). http://se.uwaterloo.ca/~dberry/handbook/ambiguityHandbook.pdf
Berry, D., Kamsties, E.: Ambiguity in requirements specification. In: do Prado Leite, J.C.S., Doorn, J.H. (eds.) Perspectives on Software Requirements. he Springer International Series in Engineering and Computer Science, vol. 753, pp. 7–44. Springer, Heidelberg (2004)
Cardoso, E., Almeida, J.P.A., Guizzardi, G.: Requirements engineering based on business process models: a case study. In: 13th Enterprise Distributed Object Computing Conference Workshops, pp. 320–327. IEEE (2009)
Chantree, F., Nuseibeh, B., Roeck, A.N.D., Willis, A.: Identifying nocuous ambiguities in natural language requirements. In: International Conference on Requirements Engineering 2006, pp. 56–65. IEEE Computer Society (2006)
Chklovski, T., Pantel, P.: VerbOcean: mining the web for fine-grained semantic verb relations. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, pp. 33–40. ACL (2004)
de Oca, I.M.M., Snoeck, M., Reijers, H.A., Rodriguez-Morffi, A.: A systematic literature review of studies on business process modeling quality. Information and Software Technology (2014). (accepted for publication)
Empson, W.: Seven types of ambiguity. Chatto & Windus, London (1956)
Fabbrini, F., Fusani, M., Gnesi, S., Lami, G.: An Automatic Quality Evaluation for Natural Language Requirements. In: Proceedings of the Seventh International Workshop on RE: Foundation for Software Quality (REFSQ 2001), vol. 1 (2001)
Fantechi, A., Gnesi, S., Lami, G., Maccari, A.: Application of linguistic techniques for use case analysis. In: Proceedings of the 10th Anniversary IEEE Joint International Conference on Requirements Engineering, pp. 157–164 (2002)
Fellbaum, C. (ed.): WordNet: An Electronic Lexical Database (Language, Speech, and Communication). The MIT Press, Cambridge (1998)
Fellmann, M., Zasada, A.: State-of-the-art of business process compliance approaches. In: 22 European Conference on Information Systems (2014)
Groefsema, H., Bucur, D.: A survey of formal business process verification: from soundness to variability. In: Proceedings of the Third International Symposium on Business Modeling and Software Design, pp. 198–203 (2013)
Gruhn, V., Laue, R.: Checking properties of business process models with logic programming. In: Proceedings of the 5th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems, pp. 84–93 (2007)
Gruhn, V., Laue, R.: Reducing the cognitive complexity of business process models. In: Proceedings of the 8th IEEE International Conference on Cognitive Informatics, pp. 339–345. IEEE Computer Society (2009)
Gruhn, V., Laue, R.: A heuristic method for detecting problems in business process models. Bus. Proc. Manag. J. 16(5), 806–821 (2010)
Gruhn, V., Laue, R.: Detecting common errors in event-driven process chains by label analysis. Enterp. Modell. Inf. Sys. Architect. 6(1), 3–15 (2011)
Havel, J., Steinhorst, M., Dietrich, H., Delfmann, P.: Supporting terminological standardization in conceptual models - a plugin for a meta-modelling tool. In: 22nd European Conference on Information Systems (2014)
de la Vara, J.L., Sánchez, J., Pastor, Ó.: Business process modelling and purpose analysis for requirements analysis of information systems. In: Bellahsène, Z., Léonard, M. (eds.) CAiSE 2008. LNCS, vol. 5074, pp. 213–227. Springer, Heidelberg (2008)
Kiyavitskaya, N., Zeni, N., Mich, L., Berry, D.M.: Requirements for tools for ambiguity fication and measurement in natural language requirements specifications. Requir. Eng. 13(3), 207–239 (2008)
Körner, S.J., Brumm, T.: RESI - a natural language specification improver. In: IEEE International Conference on Semantic Computing, pp. 1–8 (2009)
Koschmider, A., Reijers, H.A.: Improving the process of process modelling by the use of domain process patterns. Enterp. Inf. Syst. 9(1), 29–57 (2015)
Lami, G., Ferguson, R.W.: An empirical study on the impact of automation on the requirements analysis process. J. Comput. Sci. Technol. 22(3), 338–347 (2007)
Leopold, H., Eid-Sabbagh, R., Mendling, J., Azevedo, L.G., Baião, F.A.: Detection of naming convention violations in process models for different languages. Decis. Support Syst. 56, 310–325 (2013)
Leopold, H., Smirnov, S., Mendling, J.: On the refactoring of activity labels in business process models. Inf. Sys. 37(5), 443–459 (2012)
Mendling, J., Recker, J., Reijers, H.A.: On the usage of labels and icons in business process modeling. IJISMD 1(2), 40–58 (2010)
Miers, D.: Best practice BPM. ACM Queue 4(2), 40–48 (2006)
Nigam, A., Arya, N., Nigam, B., Jain, D.: Tool for automatic discovery of ambiguity in requirements. IJCSI Int. J. Comput. Sci. 9(5), 350–356 (2012)
Osborne, M., MacNish, C.: Processing natural language software requirement specifications. Int. Conf. Requirements Eng. 1996, 229–237 (1996)
Pap, Z., Majzik, I., Pataricza, A., Szegi, A.: Methods of checking general safety criteria in UML statechart specifications. Reliab. Eng. Sys. Saf. 87(1), 89–107 (2005)
Peters, N., Weidlich, M.: Using glossaries to enhance the label quality in business process models. In: Dienstleistungsmodellierung 2010 (2010)
Raffo, D., Ferguson, R., Setamanit, S., Sethanandha, B.: Evaluating the impact of requirements analysis tools using simulation. Softw. Process: Improv. Pract. 13(1), 63–73 (2008)
Smirnov, S., Weidlich, M., Mendling, J., Weske, M.: Action patterns in business process model repositories. Comput. Ind. 63(2), 98–111 (2012)
Storch, A., Laue, R., Gruhn, V.: Flexible evaluation of textual labels in conceptual models. In: Enterprise modelling and information systems architectures - EMISA 2015. (2015)
Verma, K., Kass, A., Vasquez, R.G.: Using syntactic and semantic analyses to improve the quality of requirements documentation. Semantic Web 5(5), 405–419 (2014)
Acknowledgments
We thank the German Research Foundation (DFG) for funding the AUTEM project in which this research has been done (grant no. 599444).
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Laue, R., Koop, W., Gruhn, V. (2016). Indicators for Open Issues in Business Process Models. In: Daneva, M., Pastor, O. (eds) Requirements Engineering: Foundation for Software Quality. REFSQ 2016. Lecture Notes in Computer Science(), vol 9619. Springer, Cham. https://doi.org/10.1007/978-3-319-30282-9_7
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DOI: https://doi.org/10.1007/978-3-319-30282-9_7
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