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From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation

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Product-Focused Software Process Improvement (PROFES 2015)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 9459))

Abstract

Software companies exploit data about completed projects to estimate the development effort required for new projects. Software size is one of the most important information used to this end. However, different methods for sizing software exist and companies may require to migrate to a new method at a certain point. In this case, in order to exploit historical data they need to resize the past projects with the new method. Besides to be expensive, resizing is also often not possible due to the lack of adequate documentation. To support size measurement migration, we propose a transfer learning approach that allows to avoid resizing and is able to estimate the effort of new projects based on the combined use of data about past projects measured with the previous measurement method and projects measured with the new one. To assess our proposal, an empirical analysis is carried out using an industrial dataset of 25 projects. Function Point Analysis and COSMIC are the measurement methods taken into account in the study.

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Notes

  1. 1.

    Raw data cannot be revealed because of a Non Disclosure Agreement with the software company.

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Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Elettrica e delle Tecnologie dell’Informazione, Università di Napoli “Federico II”, Naples, Italy

    Anna Corazza & Sergio Di Martino

  2. Dipartimento di Informatica, Università di Salerno, Fisciano, Italy

    Filomena Ferrucci & Carmine Gravino

  3. CREST, Department of Computer Science, University College London, London, UK

    Federica Sarro

Authors
  1. Anna Corazza
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  2. Sergio Di Martino
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  3. Filomena Ferrucci
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  4. Carmine Gravino
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  5. Federica Sarro
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Corresponding author

Correspondence to Sergio Di Martino .

Editor information

Editors and Affiliations

  1. Norwegian Univ. of Science and Technol., Trondheim, Norway

    Pekka Abrahamsson

  2. Free University of Bolzano, Bolzano, Italy

    Luis Corral

  3. University of Oulu, Oulu, Finland

    Markku Oivo

  4. Free University of Bolzano, Bozen, Italy

    Barbara Russo

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Corazza, A., Di Martino, S., Ferrucci, F., Gravino, C., Sarro, F. (2015). From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation. In: Abrahamsson, P., Corral, L., Oivo, M., Russo, B. (eds) Product-Focused Software Process Improvement. PROFES 2015. Lecture Notes in Computer Science(), vol 9459. Springer, Cham. https://doi.org/10.1007/978-3-319-26844-6_19

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  • DOI: https://doi.org/10.1007/978-3-319-26844-6_19

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  • Online ISBN: 978-3-319-26844-6

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