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Found 6 papers, 1 papers with code
The Integration of Machine Learning into Automated Test Generation: A Systematic Mapping Study
Methods: We perform a systematic mapping on a sample of 124 publications.
Automated Support for Unit Test Generation: A Tutorial Book Chapter
To illustrate how AI can support unit testing, this chapter introduces the concept of search-based unit test generation.
Efficient and Effective Generation of Test Cases for Pedestrian Detection -- Search-based Software Testing of Baidu Apollo in SVL
This paper presents the results of our proposed test generation technique in the 2021 IEEE Autonomous Driving AI Test Challenge.
Mapping the Structure and Evolution of Software Testing Research Over the Past Three Decades
Aims: Based on keywords assigned to publications, we seek to identify predominant research topics and understand how they are connected and have evolved.
Learning How to Search: Generating Effective Test Cases Through Adaptive Fitness Function Selection
We propose that meeting such goals requires treating fitness function identification as a secondary optimization step.
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
Machine learning (ML) frameworks and the systems developed using them differ greatly from traditional frameworks.
