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Software Process Performance Improvement Using Data Provenance and Ontology

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Business Process Management Forum (BPM 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 260))

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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.

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Notes

  1. 1.

    It should be noted that SPEM 2.0 (Software and Systems Process Engineering Meta-Model) [20] has great potential for software process modeling, however, it does not provide concepts to address process simulation, execution, monitoring and analysis.

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Acknowledgments

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

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Authors and Affiliations

  1. Systems Engineering and Computer Science Department, Federal University of Rio de Janeiro COPPE, Rio de Janeiro, RJ, Brazil

    Gabriella Castro Barbosa Costa & Cláudia M. L. Werner

  2. Computer Science Department, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil

    Regina Braga

Authors
  1. Gabriella Castro Barbosa Costa
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  2. Cláudia M. L. Werner
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  3. Regina Braga
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Corresponding author

Correspondence to Gabriella Castro Barbosa Costa .

Editor information

Editors and Affiliations

  1. Queensland University of Technology , Brisbane, Queensland, Australia

    Marcello La Rosa

  2. DFKI, Universität des Saarlandes, Saarbrücken, Saarland, Germany

    Peter Loos

  3. Universidad Politècnica de Valencia , Valencia, Spain

    Oscar Pastor

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Costa, G.C.B., Werner, C.M.L., Braga, R. (2016). Software Process Performance Improvement Using Data Provenance and Ontology. In: La Rosa, M., Loos, P., Pastor, O. (eds) Business Process Management Forum. BPM 2016. Lecture Notes in Business Information Processing, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-319-45468-9_4

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