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Scientific Software Testing Goes Serverless: Creating and Invoking Metamorphic Functions.

Xuanyi Lin¹, Michelle Simon², Nan Niu¹

¹University of Cincinnati.

|May 21, 2021

Summary

This summary is machine-generated.

This study introduces a function-as-a-service (FaaS) framework to automate scientific software testing. The framework converts user questions into tests, improving real-world defect detection through value-driven evaluations.

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Area of Science:

Computer Science
Software Engineering
Scientific Computing

Background:

Scientific software requires robust testing to ensure reliability and accuracy.
Traditional testing methods can be time-consuming and may not always reflect real-world usage scenarios.
Automating test generation is crucial for efficient software development and maintenance.

Purpose of the Study:

To introduce and illustrate a novel function-as-a-service (FaaS) framework for scientific software testing.
To demonstrate the FaaSification process, transforming end-user questions into automated tests.
To highlight the importance of value-driven evaluations in defect detection.

Main Methods:

Development of a function-as-a-service (FaaS) framework.
Transformation of end-user questions into executable automated tests.
Case study application focusing on real-world defect detection in scientific software.

Main Results:

Successful transformation of user questions into automated software tests.
Demonstration of FaaS framework's utility in a scientific software testing context.
Effective identification of real-world defects through value-driven evaluation.

Conclusions:

The FaaS framework offers an innovative approach to scientific software testing.
Automated test generation from user queries enhances defect detection capabilities.
Value-driven evaluation is essential for practical and impactful software testing.