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2017 | Supplement | Buchkapitel

An Exploratory Study on Usage of Process Mining in Agile Software Development

verfasst von : Sezen Erdem, Onur Demirörs

Erschienen in: Software Process Improvement and Capability Determination

Verlag: Springer International Publishing

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Abstract

Agile software development methods have become popular in the software development field during the last decade. Majority of software organizations develop or claim to develop software based on agile methods. Process mining is a process management technique that allows for the analysis of business processes based on the event logs. The aim of process mining is to discover, monitor and improve real processes, but not assumed processes, by extracting knowledge from event logs readily available in information systems. Process mining can be used to discover agile processes followed in organizations/projects to determine the actual processes followed. Process mining can also establish the necessary evidences for assessing or measuring the agility of organizations. This study explores the usability of process mining methods in agile software development context. The results of an exploratory case study on using process mining techniques in a software project managed by Scrum are depicted. We also discuss the benefits of the process mining techniques used and compare different tools utilized.

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Vorheriges Kapitel Applying Agent-Based Simulation to the Improvement of Agile Software Management

Nächstes Kapitel A Formalization of the ISO/IEC 15504: Enabling Automatic Inference of Capability Levels

Chrissis, M.B., Konrad, M., Shrum, S.: CMMI for Development: Guidelines for Process Integration and Product Improvement. Pearson Education, Upper Saddle River (2011)

Emam, K.E., Melo, W., Drouin, J.N.: SPICE: the theory and practice of software process improvement and capability determination. IEEE Computer Society Press, Los Alamitos (1997)MATH

Uskarcı, A., Demirörs, O.: Do staged maturity models result in organization-wide continuous process improvement? insight from employees. Comput. Stand. Interfaces 52, 25–40 (2017)CrossRef

Tarhan, A., Demirors, O.: Apply quantitative management now. IEEE Softw. 29(3), 77–85 (2012)CrossRef

Beck, K., Beedle, M., Van Bennekum, A., Cockburn, A., Cunningham, W., Fowler, M., Kern, J.: Manifesto for agile software development (2001)

Top, Ö.Ö., Demirörs, O.: Assessing software agility: an exploratory case study. In: Mitasiunas, A., Rout, T., O’Connor, R.V., Dorling, A. (eds.) SPICE 2014. CCIS, vol. 477, pp. 202–213. Springer, Cham (2014). doi:10.1007/978-3-319-13036-1_18

Ozcan-Top, O., Demirörs, O.: A reference model for software agility assessment: AgilityMod. In: Rout, T., O’Connor, R.V., Dorling, A. (eds.) SPICE 2015. CCIS, vol. 526, pp. 145–158. Springer, Cham (2015). doi:10.1007/978-3-319-19860-6_12 CrossRef

van der Aalst, W., et al.: Process mining manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011. LNBIP, vol. 99, pp. 169–194. Springer, Heidelberg (2012). doi:10.1007/978-3-642-28108-2_19 CrossRef

Cook, J.E., Wolf, A.L.: Discovering models of software processes from event-based data. ACM TOSEM 7(3), 215–249 (1998)CrossRef

10.

Cook, J.E., Wolf, A.L.: Automating process discovery through event-data analysis. In: Proceedings of 17th International Conference on Software Engineering, pp. 73–82 (1995)

11.

Cook, J.E.: Process discovery and validation through event-data analysis, Ph.D. thesis, University of Colorado, Boulder, Department of Computer Science (1996)

12.

Agrawal, R., Gunopulos, D., Leymann, F.: Mining process models from workflow logs. In: Schek, H.-J., Alonso, G., Saltor, F., Ramos, I. (eds.) EDBT 1998. LNCS, vol. 1377, pp. 467–483. Springer, Heidelberg (1998). doi:10.1007/BFb0101003 CrossRef

13.

Aalst, W.M.: Process Mining: Data Science in Action. Springer, Cham (2016)CrossRef

14.

Aalst, W.M.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer, New York (2011)CrossRefMATH

15.

Cook, J.E., Wolf, A.L.: Discovering models of software processes from event-based data. ACM Trans. Softw. Eng. Methodol. (TOSEM) 7(3), 215–249 (1998)CrossRef

16.

Weijters, A.J., Van der Aalst, W.M.: Rediscovering workflow models from event-based data using little thumb. Integr. Comput.-Aided Eng. 10(2), 151–162 (2003)

17.

de Medeiros, A.K., Weijters, A.J., van der Aalst, W.M.: Genetic process mining: an experimental evaluation. Data Min. Knowl. Disc. 14(2), 245–304 (2007)MathSciNetCrossRef

18.

Günther, C.W., van der Aalst, W.M.P.: Fuzzy mining – adaptive process simplification based on multi-perspective metrics. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 328–343. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75183-0_24 CrossRef

19.

Schimm, G.: Mining exact models of concurrent workflows. Comput. Ind. 53(3), 265–281 (2004)CrossRef

20.

Akman, B., Demirörs, O.: Applicability of process discovery algorithms for software organizations. In: 35th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2009, pp. 195–202. IEEE (2009)

21.

Caldeira, J., e Abreu, F.B.: Software development process mining: discovery, conformance checking and enhancement. In: 2016 10th International Conference on the Quality of Information and Communications Technology (QUATIC), pp. 254–259. IEEE (2016)

22.

Rubin, V., Lomazova I., Aalst, W.M.: Agile Development with software process mining. In: Proceedings of the 2014 International Conference on Software and System Process, pp. 70–74. ACM (2014)

Titel: An Exploratory Study on Usage of Process Mining in Agile Software Development
verfasst von: Sezen Erdem
Onur Demirörs
Verlag: Springer International Publishing
Buch: Software Process Improvement and Capability Determination
Print ISBN: 978-3-319-67382-0

Electronic ISBN: 978-3-319-67383-7

Copyright-Jahr: 2017
DOI: https://doi.org/10.1007/978-3-319-67383-7_14

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