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Knowledge Management for Large Scientific Software

Author

Listed:
  • Stéphane Picard

    (CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

  • Jean-Louis Ermine

    (CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

  • Bruno Scheurer

    (CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

Abstract

The design and the use of large scientific software are wide-ranging activities. Researchers and industrials need to manage the evolution of such large software systems and also to validate the quality of the numerical simulations performed by those systems. In this paper, we present a Knowledge Management approach providing a new kind of scientific software documentation. Our approach, based on scientific software designers and users interviews, describe a large scientific software according to different time scales, granularity levels, and specific points of view (scientific, technical and organisational). We tried to link, in a pertinent way, the different scientific domains involved in the scientific software design, in order to complete the Software Engineering efforts

Suggested Citation

  • Stéphane Picard & Jean-Louis Ermine & Bruno Scheurer, 1999. "Knowledge Management for Large Scientific Software," Post-Print hal-02080579, HAL.
    • Handle: RePEc:hal:journl:hal-02080579
    Note: View the original document on HAL open archive server: https://hal.science/hal-02080579
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