Publication date
August 2022
DOIAbstract
Dataset for the paper "Predicting Patch Correctness Based on the Similarity of Failing Test Cases" Tool name: BAT
Dataset for the paper "Predicting Patch Correctness Based on the Similarity of Failing Test Cases" Tool name: BAT
This dataset contains all data collected to conduct the studies in Chapter 3 "Fine-Grained Just-In-T...
The scripts are worked on Windows 10 or later version. Some paths included in the scripts should be ...
There were many diseases caused by viruses or bacteria. the virus or bacteria can mutate so that the...
Paper: Predicting Patch Correctness Based on the Similarity of Failing Test Cases Collected patche
A large body of the literature on automated program repair develops approaches where patches are aut...
A large body of the literature on automated program repair develops approaches where patches are aut...
Diagnostic accuracy at different base case model thresholds in PRIEST test data.</p
State-of-the-art APR techniques currently produce patches that are manually evaluated as overfitting...
Data set accompanying the paper Too Trivial To Test? An Inverse View on Defect Prediction To Identif...
This dataset contains all the data that could not be included in the original repository: https://gi...
The machine learning model of the resistance variant for multiple fault location diagnoses.</p
estimates the probability that a program location can bide a faiLwe-causing jkdt. It does not requir...
Dataset used in "Continuous Test Suite Failure Prediction". More descriptions can be found in readme...
(a) The traditional YOLOv5 prediction box for defect types. (b) CFM-YOLOv5 algorithm for defect type...
Comparison of crack optimization results using different image recognition methods.</p
This dataset contains all data collected to conduct the studies in Chapter 3 "Fine-Grained Just-In-T...
The scripts are worked on Windows 10 or later version. Some paths included in the scripts should be ...
There were many diseases caused by viruses or bacteria. the virus or bacteria can mutate so that the...
Paper: Predicting Patch Correctness Based on the Similarity of Failing Test Cases Collected patche
A large body of the literature on automated program repair develops approaches where patches are aut...
A large body of the literature on automated program repair develops approaches where patches are aut...
Diagnostic accuracy at different base case model thresholds in PRIEST test data.</p
State-of-the-art APR techniques currently produce patches that are manually evaluated as overfitting...
Data set accompanying the paper Too Trivial To Test? An Inverse View on Defect Prediction To Identif...
This dataset contains all the data that could not be included in the original repository: https://gi...
The machine learning model of the resistance variant for multiple fault location diagnoses.</p
estimates the probability that a program location can bide a faiLwe-causing jkdt. It does not requir...
Dataset used in "Continuous Test Suite Failure Prediction". More descriptions can be found in readme...
(a) The traditional YOLOv5 prediction box for defect types. (b) CFM-YOLOv5 algorithm for defect type...
Comparison of crack optimization results using different image recognition methods.</p
This dataset contains all data collected to conduct the studies in Chapter 3 "Fine-Grained Just-In-T...
The scripts are worked on Windows 10 or later version. Some paths included in the scripts should be ...
There were many diseases caused by viruses or bacteria. the virus or bacteria can mutate so that the...