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Defect Prediction in Software Using Predictive Models Based on Historical Data

  • Daniel Czyczyn-EgirdEmail author
  • Adam Slowik
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

Nowadays, there are many methods and good practices in software engineering that aim to provide high quality software. However, despite the efforts of software developers, there are often defects in projects, the removal of which is often associated with a large financial effort and time. The article presents an example approach to defect prediction in IT projects based on prediction models built on historical information and product metrics collected from various data repositories.

Keywords

Data mining in software Defect prediction models Software metrics 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Electronics and Computer ScienceKoszalin University of TechnologyKoszalinPoland

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