A pattern-based outlier detection method identifying abnormal attributes in software project data

@article{Yoon2010APO,
  title={A pattern-based outlier detection method identifying abnormal attributes in software project data},
  author={Kyung-A Yoon and Doo-Hwan Bae},
  journal={Information & Software Technology},
  year={2010},
  volume={52},
  pages={137-151}
}
0950-5849/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.infsof.2009.08.005 * Corresponding author. Tel.: +82 42 350 3558; fax E-mail addresses: kayoon@se.kaist.ac.kr (Kyung(D.-H. Bae). URL: http://spic.kaist.ac.kr/~selab/html/bae.html ( Despite the importance of the quality of software project data, problematic data inevitably occurs during data collection. These data are the outliers with abnormal values on certain attributes, which we call the abnormal attributes of outliers. Manually… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 27 references

Filtering

  • G. Liebchen, B. Twala, M. Shepperd, M. Cartwright, M. Stephens
  • robusting filtering, polishing: techniques for…
  • 2007
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…