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Article detail · 2006

Covering arrays for efficient fault characterization in complex configuration spaces

YÖKSİS OpenAlex SJR Q1 JCR Q1 Citations 270 Top 1% Percentile 99.5% FWCI 28.06
Year
2006
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue IEEE Transactions on Software Engineering
  • Catalog match (ISSN) IEEE Transactions on Software Engineering
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

Many modern software systems are designed to be highly configurable so they can run on and be optimized for a wide variety of platforms and usage scenarios. Testing such systems is difficult because, in effect, you are testing a multitude of systems, not just one. Moreover, bugs can and do appear in some configurations, but not in others. Our research focuses on a subset of these bugs that are "option-related"-those that manifest with high probability only when specific configuration options take on specific settings. Our goal is not only to detect these bugs, but also to automatically characterize the configuration subspaces (i.e., the options and their settings) in which they manifest. To improve efficiency, our process tests only a sample of the configuration space, which we obtain from mathematical objects called covering arrays. This paper compares two different kinds of covering arrays for this purpose and assesses the effect of sampling strategy on fault characterization accuracy. Our results strongly suggest that sampling via covering arrays allows us to characterize option-related failures nearly as well as if we had tested exhaustively, but at a much lower cost. We also provide guidelines for using our approach in practice.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

270 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. Yilmaz C.
  2. Cohen M.B.
  3. Porter A.A.
  4. CEMAL YILMAZ SABANCI ÜNİVERSİTESİ