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Discovering Metamorphic Relations for Scientific Software From User Forums.

Xuanyi Lin1, Michelle Simon2, Zedong Peng1

  • 1University of Cincinnati, Cincinnati, OH, 45221, USA.

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Discovering metamorphic relations from user questions aids scientific software testing. This approach leverages end-user expertise to improve software quality for tools like the Storm Water Management Model (SWMM).

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Area of Science:

  • Software Engineering
  • Environmental Modeling
  • Scientific Computing

Background:

  • Scientific software requires long-term maintenance and evolution.
  • Metamorphic testing, a property-based technique, is effective for scientific software.
  • Developing metamorphic relations demands significant tester expertise.

Purpose of the Study:

  • To explore uncovering metamorphic relations from user forum questions.
  • To investigate end-user expertise in interpreting scientific software results.
  • To classify user-oriented metamorphic relations based on software output.

Main Methods:

  • Analyzed user questions from the Storm Water Management Model (SWMM) user forum.
  • Identified potential metamorphic relations from user-posed problems and queries.
  • Classified identified relations into nominal, ordinal, and functional hierarchies.

Main Results:

  • User forums contain valuable expertise for deriving metamorphic relations.
  • Successfully uncovered user-oriented metamorphic relations from SWMM forum data.
  • A classification hierarchy (nominal, ordinal, functional) aids relation understanding.

Conclusions:

  • User-generated content is a rich source for metamorphic relation discovery.
  • This method reduces the expertise barrier for metamorphic testing in scientific software.
  • The proposed classification provides a structured way to utilize user-derived relations.