An Empirical Approach to Logical Clustering of Software Failure Regions

Abstract

Previous work (Ginn, 1991) showed that faults in a program tend to cluster when viewed by the variables that affect execution and propagation of the fault (structural clustering). However, that study was quite preliminary and local in its investigation. This thesis examines clustering from two other perspectives, taxonomical (type of faults) and functional (area of affected functionality). The hypothesis tested was that faults tend to cluster when viewed from these perspectives. *Failure regions, Software testing, Cluster analysis, Software experiments, Software faults, Software fault detection.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1994
Accession Number
ADA279863

Entities

People

  • Alexander E. Hilaris

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundaries
  • Classification
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Data Analysis
  • Data Science
  • Detection
  • Engineering
  • Information Science
  • Simulations
  • Software Development
  • Software Testing
  • Statistics
  • Taxonomy
  • Test And Evaluation

Fields of Study

  • Computer science

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