Fault Prediction Modeling for the Prediction of Number of Software Faults

This book addresses software faults-a critical issue that not only reduces the quality of software, but also increases their development costs. Various models for predicting the fault-proneness of software systems have been proposed; however, most of them provide inadequate information, limiting the...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Rathore, Santosh Singh (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Kumar, Sandeep (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Computer Science,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Introduction
  • Techniques used for the Prediction of Number of Faults
  • Homogeneous Ensemble Methods for the Prediction of Number of Faults
  • Linear Rule based Ensemble Methods for the prediction of Number of Faults
  • Non-Linear Rule based Ensemble Methods for the prediction of Number of Faults
  • Conclusions.