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Comparative analysis of statistical and machine learning methods for predicting faulty modules

  • Published:2014-08 Issue: Volume:21 Page:286-297
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Malhotra Ruchika

Publisher

Elsevier BV

Subject

Software

Reference55 articles.

1. Application of artificial neural network for predicting fault proneness models;Aggarwal,2007

2. Empirical analysis for investigating the effect of object-oriented metrics on fault proneness: a replicated case study;Aggarwal;Softw. Process Improv. Pract.,2009

3. Outliers in Statistical Data;Barnett,1995

4. A validation of object-oriented design metrics as quality indicators;Basili;IEEE Trans. Softw. Eng.,1996

5. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity;Belsley,1980

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