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Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics

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Exploratory Metamorphic Testing for Scientific Software.

Xuanyi Lin¹, Michelle Simon², Nan Niu¹

¹University of Cincinnati, USA.

Computing in Science & Engineering

|May 29, 2020

Summary

This summary is machine-generated.

Exploratory metamorphic testing allows software verification without predefined outputs. This approach aids in identifying bugs and constraints in complex environmental models like the Storm Water Management Model (SWMM).

Keywords:

Code faults Metamorphic testing SWMM Software engineering Software testing

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Last Updated: Dec 20, 2025

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Area of Science:

Environmental modeling
Software verification and validation

Background:

Metamorphic testing verifies software when expected outputs are unknown.
Current methods require predefined relations before testing.

Purpose of the Study:

Introduce and evaluate exploratory metamorphic testing.
Detect bugs and constraints in environmental simulation software.

Main Methods:

Develop multiple test iterations for continuous simulations.
Define and investigate multiple, potentially competing, metamorphic relations post-simulation.

Main Results:

Successfully applied exploratory metamorphic testing to the Storm Water Management Model (SWMM).
Identified bugs, mismatches, and constraints in automated parameter calibration.

Conclusions:

Exploratory metamorphic testing offers a flexible approach to software validation.
This method enhances the reliability of complex environmental models like SWMM.