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09/19/2023
Revisiting and Improving Retrieval-Augmented Deep Assertion Generation
Unit testing validates the correctness of the unit under test and has be...
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05/27/2023
Toward Cost-effective Adaptive Random Testing: An Approximate Nearest Neighbor Approach
Adaptive Random Testing (ART) enhances the testing effectiveness (includ...
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10/14/2022
ISTA-Inspired Network for Image Super-Resolution
Deep learning for image super-resolution (SR) has been investigated by n...
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10/13/2021
RelationRS: Relationship Representation Network for Object Detection in Aerial Images
Object detection is a basic and important task in the field of aerial im...
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05/13/2021
VPPS-ART: An Efficient Implementation of Fixed-Size-Candidate-Set Adaptive Random Testing using Vantage Point Partitioning Strategy
As an enhanced version of Random Testing (RT), Adaptive Random Testing (...
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03/17/2021
Cyber Intrusion Detection by Using Deep Neural Networks with Attack-sharing Loss
Cyber attacks pose crucial threats to computer system security, and put ...
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07/30/2020
Identification of Failure Regions for Programs with Numeric Inputs
Failure region, where failure-causing inputs reside, has provided many i...
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07/08/2020
A Survey on Adaptive Random Testing
Random testing (RT) is a well-studied testing method that has been widel...
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07/01/2020
