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Mining Rational Team Concert Repositories: A Case Study on a Software Project

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Progress in Artificial Intelligence (EPIA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10423))

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Abstract

Software repositories are key to support the development of software. In this article, we present a Mining Software Repositories (MSR) approach that considered a two-year software project repository, set using the Rational Team Concert (RTC) tool. Such MSR was designed in terms of three main components: RTC data extraction, RTC data mining and design of RTC intelligence dashboard. In particular, we focus more on the data extraction component, although we also present mining and dashboard outcomes. Interesting results were achieved, revealing a potential of the proposed MSR to improve the software project planning/development agility and quality.

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Notes

  1. 1.

    https://git-scm.com/.

  2. 2.

    https://subversion.apache.org/.

  3. 3.

    https://www.bugzilla.org/.

  4. 4.

    https://www.atlassian.com/software/jira.

  5. 5.

    http://www-03.ibm.com/software/products/en/rtc.

  6. 6.

    https://jazz.net/library/article/1229.

  7. 7.

    https://jazz.net/wiki/bin/view/Main/ReportsRESTAPI.

  8. 8.

    https://pypi.python.org/pypi/rtcclient.

  9. 9.

    https://github.com/rtcTo/rtc2git.

  10. 10.

    https://github.com/rtcTo/rtc2jira.

  11. 11.

    https://github.com/MetricsGrimoire/CVSAnalY/.

  12. 12.

    https://github.com/MetricsGrimoire/Bicho/.

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Authors and Affiliations

  1. Bosch Car Multimedia Portugal, S.A, 4705-820, Braga, Portugal

    Pedro Cunha & André Ferreira

  2. Department of Information Systems, ALGORITMI Centre, University of Minho, 4804-533, Guimarães, Portugal

    Paulo Cortez

Authors
  1. Pedro Cunha
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  2. André Ferreira
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  3. Paulo Cortez
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Corresponding author

Correspondence to Pedro Cunha .

Editor information

Editors and Affiliations

  1. Universidade do Porto, Porto, Portugal

    Eugénio Oliveira

  2. Universidade do Porto, Porto, Portugal

    João Gama

  3. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  4. Universidade do Porto, Porto, Portugal

    Henrique Lopes Cardoso

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Cunha, P., Ferreira, A., Cortez, P. (2017). Mining Rational Team Concert Repositories: A Case Study on a Software Project. In: Oliveira, E., Gama, J., Vale, Z., Lopes Cardoso, H. (eds) Progress in Artificial Intelligence. EPIA 2017. Lecture Notes in Computer Science(), vol 10423. Springer, Cham. https://doi.org/10.1007/978-3-319-65340-2_44

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  • DOI: https://doi.org/10.1007/978-3-319-65340-2_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65339-6

  • Online ISBN: 978-3-319-65340-2

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