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Software Process Performance Improvement Using Data Provenance and Ontology

  • Gabriella Castro Barbosa CostaEmail author
  • Cláudia M. L. Werner
  • Regina Braga
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 260)

Abstract

Organizations are investing on process definition and improvement in order to enhance their products’ quality. In the software processes context, this is not different. A practice to support software processes continuous improvement is to reuse the knowledge acquired in previous process executions. After defining measures to the software processes performance, an analysis of process execution data can be done, in order to detect process enhancement points. One way to capture these process execution data is using data provenance models. Thus, these data can be analyzed, using information derivation mechanisms, such as inference engines for ontologies. This paper aims to describe and evaluate an approach to support software process execution analysis to improve process performance, using data provenance and ontologies. A pilot case study was conducted with software processes used in two software development companies. With this study, implicit information was derived and can be used for improving process performance.

Keywords

Software process Data provenance Ontology 

Notes

Acknowledgments

We would like to thank CEOsoftware and Projetus TI, for kindly sharing their data, and CNPq, for their financial support.

References

  1. 1.
    Aversano, L., Lucia, A.D., Gaeta, M., Ritrovato, P., Stefanucci, S., Villani, M.L.: Managing coordination and cooperation in distributed software processes: the genesis environment. Softw. Process: Improv. Pract. 9(4), 239–263 (2004)CrossRefGoogle Scholar
  2. 2.
    Avrilionis, D., Belkhatir, N., Cunin, P.Y.: A unified framework for software process enactment and improvement. In: Proceedings of International Conference on the Software Process, pp. 102–111 (1996)Google Scholar
  3. 3.
    Buneman, P., Khanna, S., Tan, W.-C.: Why and where: a characterization of data provenance. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 316–330. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  4. 4.
    Dalpra, H.L.O., Costa, G.C.B., Sirqueira, T.F.M., Braga, R.M.M., Campos, F., Werner, C.M.L., David, J.M.N.: Proceedings of the Brazilian Seminar on Ontologies, ONTOBRAS 2015, São Paulo, Brazil, pp. 10–21 (2015)Google Scholar
  5. 5.
    Davidson, S.B., Freire, J.: Provenance and scientific workflows: challenges and opportunities. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, SIGMOD 2008, pp. 1345–1350. ACM, New York (2008)Google Scholar
  6. 6.
    Fuggetta, A.: Software process: a roadmap. In: Proceedings of the Conference on the Future of Software Engineering, ICSE 2000, pp. 25–34. ACM, New York (2000)Google Scholar
  7. 7.
    Guarino, N.: Proceedings of the 1st International Conference on Formal Ontology in Information Systems, Trento, Italy. IOS Press (1998)Google Scholar
  8. 8.
    Günther, C.W., Rinderle, S., Reichert, M., van der Aalst, W.: Change mining in adaptive process management systems. In: Meersman, R., Tari, Z. (eds.) OTM 2006. LNCS, vol. 4275, pp. 309–326. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  9. 9.
    Gunther, C.W., Rinderle-Ma, S., Reichert, M., Aalst, W.M., Recker, J.: Using process mining to learn from process changes in evolutionary systems. Int. J. Bus. Process Integr. Manage. 3(1), 61–78 (2008)CrossRefGoogle Scholar
  10. 10.
    Junaid, M.M., Berger, M., Vitvar, T., Plankensteiner, K., Fahringer, T.: Workflow composition through design suggestions using design-time provenance information. In: IEEE International Conference on E-Science Workshops, pp. 110–117 (2009)Google Scholar
  11. 11.
    Lebo, T., Sahoo, S., McGuinness, D.: PROV-O: The PROV Ontology (2013). http://www.w3.org/TR/2013/REC-prov-o-20130430/
  12. 12.
    Maciel, R.S.P., Silva, B.C.d., Magalhães, P. F., Rosa, N.S.: An integrated approach for model driven process modeling and enactment. In: Brazilian Symposium on Software Engineering, SBES 2009, pp. 104–114 (2009)Google Scholar
  13. 13.
    Miles, S., Groth, P., Munroe, S., Moreau, L.: Prime: a methodology for developing provenance-aware applications. ACM Trans. Softw. Eng. Method. (TOSEM) 20(3), 8 (2011)CrossRefGoogle Scholar
  14. 14.
    Missier, P., Belhajjame, K., Cheney, J.: The W3C prov family of specifications for modelling provenance metadata. In: Proceedings of the 16th International Conference on Extending Database Technology, EDBT 2013, pp. 773–776. ACM, New York (2013)Google Scholar
  15. 15.
    OMG: Business Process Model and Notation (BPMN) Version 2.0. Technical report (2011)Google Scholar
  16. 16.
    Paulk, M.C.: A history of the capability maturity model for software. ASQ Softw. Qual. Prof. 12(1), 5–19 (2009)Google Scholar
  17. 17.
    Pedrinaci, C., Lambert, D., Wetzstein, B., van Lessen, T., Cekov, L., Dimitrov, M.: SENTINEL: a semantic business process monitoring tool. In: Proceedings of the First International Workshop on Ontology-supported Business Intelligence, New York, USA, pp. 1–12 (2008)Google Scholar
  18. 18.
    Rocha, A.R., Santos, G., Barcellos, M.P.: Software measuring and process statistical control. Science, Technology and Innovation Ministry, Brasília - DF, Brazil (2012) (in Portuguese). http://nemo.inf.ufes.br/files/Livro_Medicao_CEP.pdf
  19. 19.
    Salatino, M.: jBPM Developer Guide. Packt Publishing, Olton (2010)Google Scholar
  20. 20.
    Software Process Engineering Metamodel (SPEM) 2.0 Specification, April 2008. http://www.omg.org/spec/SPEM/2.0/PDF/
  21. 21.
    Wendel, H., Kunde, M., Schreiber, A.: Provenance of software development processes. In: McGuinness, D.L., Michaelis, J.R., Moreau, L. (eds.) IPAW 2010. LNCS, vol. 6378, pp. 59–63. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Gabriella Castro Barbosa Costa
    • 1
    Email author
  • Cláudia M. L. Werner
    • 1
  • Regina Braga
    • 2
  1. 1.Systems Engineering and Computer Science DepartmentFederal University of Rio de Janeiro COPPERio de JaneiroBrazil
  2. 2.Computer Science DepartmentFederal University of Juiz de ForaJuiz de ForaBrazil

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