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A Practical Guide to Phylogenetics for Nonexperts
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Published on: February 5, 2014

Verification of phylogenetic inference programs using metamorphic testing.

Md Shaik Sadi1, Fei-Ching Kuo, Joshua W K Ho

  • 1Faculty of ICT, Swinburne University of Technology, VIC, Australia. ssadi@swin.edu.au

Journal of Bioinformatics and Computational Biology
|November 16, 2011
PubMed
Summary
This summary is machine-generated.

Testing phylogenetic inference programs is challenging due to the unknown evolutionary history. Metamorphic testing offers a solution to verify these programs, effectively detecting errors in evolutionary relationship inference.

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Area of Science:

  • Computational Biology
  • Bioinformatics
  • Software Testing

Background:

  • Phylogenetic inference programs are crucial for determining evolutionary relationships among species using DNA or amino acid sequences.
  • Verifying the accuracy of phylogenetic trees generated by these programs is difficult due to the unknown nature of true evolutionary history, a problem known as the oracle problem in software testing.

Purpose of the Study:

  • To introduce and evaluate Metamorphic Testing as a technique to address the oracle problem in the context of phylogenetic inference software.
  • To demonstrate the effectiveness of Metamorphic Testing in identifying failures in phylogenetic inference programs.

Main Methods:

  • Application of Metamorphic Testing, a software testing technique, to phylogenetic inference programs.
  • Utilized both real and randomly generated datasets as test inputs to assess the technique's performance.

Main Results:

  • Metamorphic Testing was found to be effective in detecting failures in faulty phylogenetic inference programs.
  • The technique demonstrated success with both real biological data and synthetically generated test cases.

Conclusions:

  • Metamorphic Testing provides a viable solution to overcome the oracle problem in testing phylogenetic inference software.
  • This approach enhances the reliability and correctness verification of evolutionary relationship inference tools.