This is the dataset of mutations generated for UnityEyes and Movie Recommender subject systems by DeepCrime and DeepMutation++ mutation testing tools as part of the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real Faults" paper published at ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2021
Software has been an essential part of human life, and it substantially improves production and enri...
Recent developments in Deep Learning have enabled new approaches to important prediction problems in...
Deep Learning (DL) has revolutionized the capabilities of vision-based systems (VBS) in critical app...
This is the dataset of mutations generated for Speaker Recognition subject system by DeepCrime mutat...
This is the dataset of mutations generated for MNIST digit classifier by DeepCrime and DeepMutation+...
Deep Learning (DL) solutions are increasingly adopted, but how to test them remains a major open res...
This is the dataset of mutations generated for Udacity Dave-2 model by DeepCrime mutation testing t...
This is the dataset of mutations generated for MNIST digit classifier by DeepCrime mutation testing ...
Deep Learning (DL) components are routinely integrated into software systems that need to perform co...
The replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real ...
Deep Learning (DL) is increasingly adopted to solve complex tasks such as image recognition or auton...
Trained agents to be used in the replication package of the paper "Mutation Testing of Deep Reinforc...
Mutation testing is a well-established technique for assessing a test suite’s quality by injecting a...
Information about the scripts and data used in this study: Sahraeian SME, et al., Achieving Robust ...
Software and symmetric testing methodologies are primarily used in detecting software defects, but t...
Software has been an essential part of human life, and it substantially improves production and enri...
Recent developments in Deep Learning have enabled new approaches to important prediction problems in...
Deep Learning (DL) has revolutionized the capabilities of vision-based systems (VBS) in critical app...
This is the dataset of mutations generated for Speaker Recognition subject system by DeepCrime mutat...
This is the dataset of mutations generated for MNIST digit classifier by DeepCrime and DeepMutation+...
Deep Learning (DL) solutions are increasingly adopted, but how to test them remains a major open res...
This is the dataset of mutations generated for Udacity Dave-2 model by DeepCrime mutation testing t...
This is the dataset of mutations generated for MNIST digit classifier by DeepCrime mutation testing ...
Deep Learning (DL) components are routinely integrated into software systems that need to perform co...
The replication package for the "DeepCrime: Mutation Testing of Deep Learning Systems based on Real ...
Deep Learning (DL) is increasingly adopted to solve complex tasks such as image recognition or auton...
Trained agents to be used in the replication package of the paper "Mutation Testing of Deep Reinforc...
Mutation testing is a well-established technique for assessing a test suite’s quality by injecting a...
Information about the scripts and data used in this study: Sahraeian SME, et al., Achieving Robust ...
Software and symmetric testing methodologies are primarily used in detecting software defects, but t...
Software has been an essential part of human life, and it substantially improves production and enri...
Recent developments in Deep Learning have enabled new approaches to important prediction problems in...
Deep Learning (DL) has revolutionized the capabilities of vision-based systems (VBS) in critical app...