Article detail · 2010 · conference-paper
Usage of multiple prediction models based on defect categories
OpenAlex
Year2010
Citations21OpenAlex
Percentile%79.7
FWCI1.11.00 = world average
Data source split
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
Abstract
Background: Most of the defect prediction models are built for two purposes: 1) to detect defective and defect-free modules (binary classification), and 2) to estimate the number of defects (regression analysis). It would also be useful to give more information on the nature of defects so that software managers can plan their testing resources more effectively.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
21citationsOpenAlex · cited_by_count (cache / database)
8 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2015 Studying high impact fix inducing changesCitations 48 · OpenAlex
- 2015 Predicting defective modules in different test phasesCitations 24 · OpenAlex
- 2014 Predicting defective modules in different test phasesCitations 24 · OpenAlex
- 2013 A Retrospective Study of Software Analytics Projects In Depth Interviews with PractitionersCitations 19 · OpenAlex
- 2013 A Retrospective Study of Software Analytics Projects: In-Depth Interviews with PractitionersCitations 19 · OpenAlex
- 2011 Different strokes for different folksCitations 19 · OpenAlex
- 2012 Factors characterizing reopened issuesCitations 15 · OpenAlex
- 2015 Lessons Learned from Software Analytics in PracticeCitations 13 · OpenAlex
Authors
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