• DocumentCode
    2945003
  • Title

    A model of noisy software engineering data

  • Author

    Tesoriero, Roseanne ; Zelkowitz, Marvin

  • Author_Institution
    Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA
  • fYear
    1998
  • fDate
    19-25 Apr 1998
  • Firstpage
    461
  • Lastpage
    464
  • Abstract
    Software development data is highly variable, which often results in underlying trends being hidden. In order to address this problem, a method of data analysis, adapted from the financial community, is presented that permits the shape of the curve of some activity to be reduced to a few line segments, called the characteristic curve. This process is used on sample data from the NASA/GSFC Software Engineering Laboratory and has been shown to be a reasonable method to understand the underlying process being plotted
  • Keywords
    curve fitting; data analysis; software development management; NASA/GSFC Software Engineering Laboratory; characteristic curve; curve fitting; data analysis; exponential moving average; financial data; financial sector; noisy software engineering data; software development data; Computer science; Data analysis; Databases; Educational institutions; Laboratories; NASA; Programming; Scattering; Shape; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 1998. Proceedings of the 1998 International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    0270-5257
  • Print_ISBN
    0-8186-8368-6
  • Type

    conf

  • DOI
    10.1109/ICSE.1998.671606
  • Filename
    671606
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2945003