A Model of Noisy Software Engineering Data (Status Report)

DOI 10.1109/icse.1998.671606 dblp

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.

BibTeX

@inproceedings{Tesoriero-Zelkowitz:ICSE98,
  author    = {Roseanne Tesoriero and
               Marvin V. Zelkowitz},
  title     = {A Model of Noisy Software Engineering Data {(Status} Report)},
  booktitle = {ICSE},
  pages     = {461--464},
  publisher = {{IEEE} Computer Society},
  year      = {1998},
}

A Model of Noisy Software Engineering Data (Status Report)

Abstract

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