Parameter Tuning for Search-Based Test-Data Generation Revisited: Support for Previous Results
Anton Kotelyanskii; Gregory M. Kapfhammer · 2014
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Although search-based test-data generators, like EvoSuite, efficiently and automatically create effective JUnit test suites for Java classes, these tools are often difficult to configure. Prior work by Arcuri and Fraser revealed that the…
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WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: OpenAlex · DOI 10.1109/qsic.2014.43