Selection of metrics for predicting the appropriate application of design patterns

Jonatan Hernandez, Atsuto Kubo, Hironori Washizaki, Fukazawa Yoshiaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Design patterns are known for their usefulness to solve recurrent problems. Design patterns are a way of transmitting knowledge and experience by using proven, high quality solutions. A problem that emerges when using design patterns is that it is not clear how to measure the impact that has its application on the source code. The relationships between metrics and design patterns is not clear. We propose an experiment for measuring the usefulness of metrics and their success in predicting correct usage of design patterns. With this experiment we will explore which metrics capture best the relationship of design patterns quality of the source code. By using those metrics we will make predictions about the correct usage of the design patterns. In this experiment the selected metrics were not a good predictor, however it is a starting point to explore more metrics and their relationships with design patterns.

Original languageEnglish
Title of host publicationAsianPLoP 2011 - 2nd Asian Conference on Pattern Languages of Programs, Proceedings
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450321099
DOIs
Publication statusPublished - 2011 Oct 5
Event2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011 - Tokyo, Japan
Duration: 2011 Oct 52011 Oct 7

Publication series

NameACM International Conference Proceeding Series
Volume2011-October

Other

Other2nd Asian Conference on Pattern Languages of Programs, AsianPLoP 2011
Country/TerritoryJapan
CityTokyo
Period11/10/511/10/7

Keywords

  • Design patterns
  • Metrics

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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