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  4. A Hybrid Approach to Analyze Empirical Software Engineering Data and its Application Predict Module Fault-proneness in Maintenance
 
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1999
Report
Titel

A Hybrid Approach to Analyze Empirical Software Engineering Data and its Application Predict Module Fault-proneness in Maintenance

Author(s)
Morasca, S.
Ruhe, G.
Verlagsort
Kaiserslautern
DOI
10.24406/publica-fhg-290024
File(s)
026.pdf (147.99 KB)
Language
English
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Fraunhofer-Institut für Experimentelles Software Engineering IESE
Tags
  • case study

  • experience factory

  • fault proneness

  • hybrid approach

  • knowledge discovery

  • logistic regression

  • rough set

  • software maintenance

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