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Fault Links: Exploring the Relationship Between Module and Fault Types

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Dependable Computing - EDCC 5 (EDCC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 3463))

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Abstract

Fault links represent relationships between the types of mistakes made and the type of module being developed or modified. The existence of such fault links can be used to guide code reviews, walkthroughs, allocation of verification and validation resources, testing of new code development, as well as code maintenance. We present an approach for categorizing code faults and code modules, and a means for examining relationships between the two. We successfully applied our approach to two case studies.

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Author information

Authors and Affiliations

  1. Computer Science Department, University of Kentucky,  

    Jane Huffman Hayes, C. M. Inies Raphael & Vinod Kumar Surisetty

  2. School of Electrical Engineering and Computer Science, Washington State University,  

    Anneliese Andrews

Authors
  1. Jane Huffman Hayes
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  2. C. M. Inies Raphael
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  3. Vinod Kumar Surisetty
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  4. Anneliese Andrews
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Editor information

Editors and Affiliations

  1. Institute for Computer Sciences III, University of Erlangen-Nürnberg, Martensstr. 3, 91058, Erlangen, Germany

    Mario Dal Cin

  2. UPS, INSA, INP, ISAE; LAAS-CNRS, Université de Toulouse, Toulouse, France

    Mohamed Kaâniche

  3. Department of Measurement and Information Systems, Budapest University of Technology and Economics,  

    András Pataricza

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© 2005 Springer-Verlag Berlin Heidelberg

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Hayes, J.H., Inies Raphael, C.M., Surisetty, V.K., Andrews, A. (2005). Fault Links: Exploring the Relationship Between Module and Fault Types. In: Dal Cin, M., Kaâniche, M., Pataricza, A. (eds) Dependable Computing - EDCC 5. EDCC 2005. Lecture Notes in Computer Science, vol 3463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408901_31

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  • DOI: https://doi.org/10.1007/11408901_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25723-3

  • Online ISBN: 978-3-540-32019-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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