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DeepCrime and DeepMutation++ mutations for Udacity self-driving car system

Main Authors: Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
Format: info dataset Journal
Terbitan: , 2021
Subjects:
mutation testing
fault injection
deep learning testing
autonomous vehicles
self-driving car
Udacity simulator
Online Access: https://zenodo.org/record/4737810
ctrlnum 4737810
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format Other:info:eu-repo/semantics/other
Other
Other:dataset
Journal:Journal
Journal
author Nargiz Humbatova
Gunel Jahangirova
Paolo Tonella
title DeepCrime and DeepMutation++ mutations for Udacity self-driving car system
publishDate 2021
topic mutation testing
fault injection
deep learning testing
autonomous vehicles
self-driving car
Udacity simulator
url https://zenodo.org/record/4737810
contents This is the dataset of mutations generated for Udacity Dave-2 model 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. The first part of this dataset is stored under DOI 10.5281/zenodo.4737808.
id IOS16997.4737810
institution ZAIN Publications
institution_id 7213
institution_type library:special
library
library Cognizance Journal of Multidisciplinary Studies
library_id 5267
collection Cognizance Journal of Multidisciplinary Studies
repository_id 16997
subject_area Multidisciplinary
city Stockholm
province INTERNASIONAL
shared_to_ipusnas_str 1
repoId IOS16997
first_indexed 2022-06-06T03:31:50Z
last_indexed 2022-06-06T03:31:50Z
recordtype dc
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score 17.610363

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