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Uncovering the Hidden Co-evolution in the Work History of Software Projects

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Business Process Management (BPM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10445))

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Abstract

The monitoring of project-oriented business processes is difficult because their state is fragmented and represented by the progress of different documents and artifacts being worked on. This observation holds in particular for software development projects in which various developers work on different parts of the software concurrently. Prior contributions in this area have proposed a plethora of techniques to analyze and visualize the current state of the software artifact as a product. It is surprising that these techniques are missing to provide insights into what types of work are conducted at different stages of the project and how they are dependent upon another. In this paper, we address this research gap and present a technique for mining the software process including dependencies between artifacts. Our evaluation of various open-source projects demonstrates the applicability of our technique.

This work has been partially funded by the Austrian Research Promotion Agency (FFG) under grant 845638 (SHAPE) and the RISE BPM project (H2020 Marie Curie Program, grant 645751). The second author was partially supported by PROAP/CAPES and fourth and sixth authors by the National Council for Scientific and Technological Development (CNPq), Brazil.

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Notes

  1. 1.

    cf. unified diff format https://git-scm.com/docs/git-diff.

  2. 2.

    The source code is available at https://github.com/s41m1r/MiningVCS.

References

  1. Abate, P., Cosmo, R.D., Boender, J., Zacchiroli, S.: Strong dependencies between software components. In: 3rd International Symposium on Empirical Software Engineering and Measurement ESEM, pp. 89–99 (2009)

    Google Scholar 

  2. Bala, S., Cabanillas, C., Mendling, J., Rogge-Solti, A., Polleres, A.: Mining project-oriented business processes. In: Motahari-Nezhad, H.R., Recker, J., Weidlich, M. (eds.) BPM 2015. LNCS, vol. 9253, pp. 425–440. Springer, Cham (2015). doi:10.1007/978-3-319-23063-4_28

    Chapter  Google Scholar 

  3. Bani-Salameh, H., Ahmad, A., Aljammal, A.: Software evolution visualization techniques and methods - a systematic review. In: 2016 7th International Conference on Computer Science and Information Technology (CSIT), pp. 1–6 (2016)

    Google Scholar 

  4. Beheshti, S.-M.-R., Benatallah, B., Motahari-Nezhad, H.R.: Enabling the analysis of cross-cutting aspects in ad-hoc processes. In: Salinesi, C., Norrie, M.C., Pastor, Ó. (eds.) CAiSE 2013. LNCS, vol. 7908, pp. 51–67. Springer, Heidelberg (2013). doi:10.1007/978-3-642-38709-8_4

    Chapter  Google Scholar 

  5. Beheshti, S.-M.-R., Benatallah, B., Sakr, S., Grigori, D., Motahari-Nezhad, H.R., Barukh, M.C., Gater, A., Ryu, S.H.: Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data. Springer, Cham (2016)

    Google Scholar 

  6. Bender, M.A., Farach-Colton, M.: The LCA problem revisited. In: Gonnet, G.H., Viola, A. (eds.) LATIN 2000. LNCS, vol. 1776, pp. 88–94. Springer, Heidelberg (2000). doi:10.1007/10719839_9

    Chapter  Google Scholar 

  7. Canfora, G., Cerulo, L.: Supporting change request assignment in open source development. In: Proceedings 2006 ACM Symposium on Applied Computing - SAC 2006, p. 1767, April 2016

    Google Scholar 

  8. D’Ambros, M., Lanza, M., Lungu, M.: Visualizing co-change information with the evolution radar. IEEE Trans. Softw. Eng. 35(5), 720–735 (2009)

    Article  Google Scholar 

  9. Gonçalves, J., Santoro, F.M., Baião, F.A.: Let me tell you a story - on how to build process models. J. Univers. Comput. Sci. 17(2), 276–295 (2011)

    Google Scholar 

  10. Greene, G.J., Fischer, B.: Interactive tag cloud visualization of software version control repositories. In: 3rd Working Conference on Software Visualization, pp. 56–65 (2015)

    Google Scholar 

  11. Gubichev, A., Bedathur, S., Seufert, S., Weikum, G.: Fast and accurate estimation of shortest paths in large graphs. In: 19th ACM International Conference on Information and Knowledge Management, p. 499 (2010)

    Google Scholar 

  12. Kindler, E., Rubin, V., Schäfer, W.: Activity mining for discovering software process models. Softw. Eng. 79, 175–180 (2006)

    Google Scholar 

  13. Lindberg, A., Berente, N., Gaskin, J., Lyytinen, K.: Coordinating interdependencies in online communities: a study of an open source software project. Inf. Syst. Res. 27(4), 751–772 (2016)

    Article  Google Scholar 

  14. Mittal, M., Sureka, A.: Process mining software repositories from student projects in an undergraduate software engineering course. In: ISCE Companion, pp. 344–353 (2014)

    Google Scholar 

  15. Oliva, G.A., Santana, F.W., Gerosa, M.A., de Souza, C.R.: Towards a classification of logical dependencies origins. In: Proceedings 12th International Workshop 7th Annual ERCIM Workshop on Principles of Software Evolution - IWPSE-EVOL 2011, p. 31 (2011)

    Google Scholar 

  16. Peffers, K.E.N., Tuunanen, T., Rothenberger, M., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24, 45–77 (2007)

    Article  Google Scholar 

  17. Poncin, W., Serebrenik, A., Brand, M.V.D.: Process mining software repositories. In: 2011 15th European Conference Software Maintenance Reengineering, pp. 5–14 (2011)

    Google Scholar 

  18. Ripley, R.M., Sarma, A., Van Der Hoek, A.: A visualization for software project awareness and evolution. Visualization 2007 - Proceedings 4th IEEE International Workshop on Visualizing Software for Understanding Analysis, pp. 137–144 (2007)

    Google Scholar 

  19. Robles, G., González-Barahona, J.M., Cervigón, C., Capiluppi, A., Izquierdo-Cortázar, D.: Estimating development effort in free/open source software projects by mining software repositories: a case study of openstack. In: 11th Working Conference on Mining Software Repositories, pp. 222–231 (2014)

    Google Scholar 

  20. Ruohonen, J., Hyrynsalmi, S., Leppänen, V.: Time series trends in software evolution. J. Soft. Evol. Process 27(12), 990–1015 (2015)

    Article  Google Scholar 

  21. Voinea, L., Telea, A.: CVSgrab: mining the history of large software projects. In: Eurographics/EuroVisualization, pp. 187–194 (2006)

    Google Scholar 

  22. Voinea, L., Telea, A.: Visual data mining and analysis of software repositories. Comput. Graph. 31, 410–428 (2007)

    Article  Google Scholar 

  23. Weicheng, Y., Beijun, S., Ben, X.: Mining GitHub: why commit stops - exploring the relationship between developer’s commit pattern and file version evolution. In: 20th Asia-Pacific Software Engineering Conference, pp. 165–169 (2013)

    Google Scholar 

  24. Zaidman, A., Van Rompaey, B., Demeyer, S., Van Deursen, A.: Mining software repositories to study co-evolution of production & test code. In: 1st International Conference on Software Testing, Verification and Validation, pp. 220–229 (2008)

    Google Scholar 

  25. Zimmermann, T., Nagappan, N.: Predicting defects using network analysis on dependency graphs. In: 13th International Conference on Software Engineering, p. 531 (2008)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Vienna University of Economics and Business (WU), Vienna, Austria

    Saimir Bala & Jan Mendling

  2. Federal University of the State of Rio de Janeiro (UNIRIO), Rio de Janeiro, Brazil

    Kate Revoredo, João Carlos de A.R. Gonçalves, Fernanda Baião & Flavia Santoro

Authors
  1. Saimir Bala
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  2. Kate Revoredo
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  3. João Carlos de A.R. Gonçalves
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  4. Fernanda Baião
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  5. Jan Mendling
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  6. Flavia Santoro
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Corresponding author

Correspondence to Saimir Bala .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Universitat Politècnica de Catalunya, Barcelona, Spain

    Josep Carmona

  2. Department of Computer Science, University of Paderborn, Paderborn, Germany

    Gregor Engels

  3. Department of Supply Chain and Information Systems, Pennsylvania State University, University Park, Pennsylvania, USA

    Akhil Kumar

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Bala, S., Revoredo, K., de A.R. Gonçalves, J.C., Baião, F., Mendling, J., Santoro, F. (2017). Uncovering the Hidden Co-evolution in the Work History of Software Projects. In: Carmona, J., Engels, G., Kumar, A. (eds) Business Process Management. BPM 2017. Lecture Notes in Computer Science(), vol 10445. Springer, Cham. https://doi.org/10.1007/978-3-319-65000-5_10

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  • DOI: https://doi.org/10.1007/978-3-319-65000-5_10

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  • Online ISBN: 978-3-319-65000-5

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