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OTM Confederated International Conferences "On the Move to Meaningful Internet Systems"

OTM 2017: On the Move to Meaningful Internet Systems. OTM 2017 Conferences pp 114–131Cite as

Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluation

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10573))

Abstract

Feature Location (FL) is one of the most important tasks in software maintenance and evolution. However, current works on FL neglected the collaboration of different domain experts. This collaboration is especially important in long-living industrial domains where a single domain expert may lack the required knowledge to fully locate a feature, so the collaboration among different domain experts could alleviate this lack of knowledge. In this work, we address collaboration among different domain experts by automatically reformulating their feature descriptions. With our approach, we extend existing FL approaches based on Information Retrieval and Linguistic rules to locate features in models. We evaluate our approach in a real-world case study from our industrial partner, which is a worldwide leader in train manufacturing. We analyze the impact of our approach in terms of recall, precision, and F-Measure. Moreover, we perform a statistical analysis to show that the impact of the results is significant. Our results show that our approach for collaboration boosts the quality of the results of FL.

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Acknowledgements

This work has been partially supported by the Ministry of Economy and Competitiveness (MINECO) through the Spanish National R+D+i Plan and ERDF funds under the project Model-Driven Variability Extraction for Software Product Line Adoption (TIN2015-64397-R).

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Authors and Affiliations

  1. SVIT Research Group, Universidad San Jorge, Autovía A-23 Zaragoza-Huesca Km. 299, 50830, Zaragoza, Spain

    Francisca Pérez, Ana C. Marcén, Raúl Lapeña & Carlos Cetina

Authors
  1. Francisca Pérez
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  2. Ana C. Marcén
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  3. Raúl Lapeña
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  4. Carlos Cetina
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Corresponding author

Correspondence to Francisca Pérez .

Editor information

Editors and Affiliations

  1. University of Lorraine, Nancy, France

    Hervé Panetto

  2. Odisee University College, Brussels, Belgium

    Christophe Debruyne

  3. Télécom SudParis, Évry, France

    Walid Gaaloul

  4. Tilburg University, Tilburg, The Netherlands

    Mike Papazoglou

  5. Freie Universität Berlin and Fraunhofer FOKUS, Berlin, Germany

    Adrian Paschke

  6. Università degli Studi di Milano, Crema, Italy

    Claudio Agostino Ardagna

  7. TU Graz, Graz, Austria

    Robert Meersman

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Pérez, F., Marcén, A.C., Lapeña, R., Cetina, C. (2017). Introducing Collaboration for Locating Features in Models: Approach and Industrial Evaluation. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10573. Springer, Cham. https://doi.org/10.1007/978-3-319-69462-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-69462-7_9

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