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Improving Defect Tracking Using Shared Context

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Modeling and Using Context (CONTEXT 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10257))

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Abstract

Test engineers log bugs in a defect tracking system to different actors. For instance, in the case of database defects, after the first cycle of bug tracking is completed, the system will notify the Database Administrator (DBA). The DBA can log in to the system and get the bug list with priority. He can then solve the bug and change its status in the system. There are many ways of applying defect tracking by different actors because they do not have the same viewpoints about the contexts related to the management of the defects. Actors need to devote their efforts to develop new practices and use past expert experience in order to create an effective strategy to maintain applications. The paper presents how to contextualize defect tracking based on different expert viewpoints. We show how making shared context explicit can help to improve resolving defects and avoid conflicts between experts having distinct viewpoints.

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Author information

Authors and Affiliations

  1. LIP6, University Pierre and Marie Curie (UPMC), 4 Place Jussieu, 75005, Paris, France

    Hassane Tahir & Patrick Brézillon

Authors
  1. Hassane Tahir
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  2. Patrick Brézillon
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Corresponding author

Correspondence to Hassane Tahir .

Editor information

Editors and Affiliations

  1. Pierre and Marie Curie University , Paris, France

    Patrick Brézillon

  2. University of Maine , Orono, Maine, USA

    Roy Turner

  3. University of Genoa , Genoa, Italy

    Carlo Penco

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Tahir, H., Brézillon, P. (2017). Improving Defect Tracking Using Shared Context. In: Brézillon, P., Turner, R., Penco, C. (eds) Modeling and Using Context. CONTEXT 2017. Lecture Notes in Computer Science(), vol 10257. Springer, Cham. https://doi.org/10.1007/978-3-319-57837-8_41

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  • DOI: https://doi.org/10.1007/978-3-319-57837-8_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57836-1

  • Online ISBN: 978-3-319-57837-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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