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A Systematic Literature Review of Software Defect Prediction Using Deep Learning

Ahmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin, Laila A. Abd-Elmegid, Ahmed Bahaa, Ahmed Sharaf Eldin
2021 Journal of Computer Science  
Software defect prediction using deep learning models is still a valuable topic and requires much research studies to enhance the performance of the defect prediction.  ...  There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, etc.  ...  To handle the problem of Time Limit Exceed (TLE), Zhou et al. (2019) built the DeepTLE model to predict if there were performance defects before running the test cases.  ... 
doi:10.3844/jcssp.2021.490.510 fatcat:sawoov64m5hxxphni3jndzmqyq

Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer [article]

Ekim Yurtsever, Yongkang Liu, Jacob Lambert, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda, John H. L. Hansen
2019 arXiv   pre-print
Advanced driver assistance and automated driving systems rely on risk estimation modules to predict and avoid dangerous situations.  ...  We designed a deep spatiotemporal classification network that uses pre-trained state-of-the-art instance segmentation network Mask R-CNN as its spatial feature extractor for this task.  ...  These high-level features were then fed into LSTM cells to depict temporal relationships.  ... 
arXiv:1906.02859v1 fatcat:kvxuaidrrngshjbrcuztg7cnqe

A Survey of Autonomous Driving: Common Practices and Emerging Technologies [article]

Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda
2020 arXiv   pre-print
Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions: localization, mapping, perception, planning, and human machine interface, were thoroughly  ...  Running at 5 fps means it is approaching the area of real-time use for ADS.  ...  Then, road and lane feature extraction is performed on the corrected data.  ... 
arXiv:1906.05113v2 fatcat:2hqztllrgjhndbc5aebduvukai

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda
2020 IEEE Access  
Studies regarding present challenges, high-level system architectures, emerging methodologies and core functions including localization, mapping, perception, planning, and human machine interfaces, were  ...  Running at 5 fps means it is approaching the area of real-time use for ADS.  ...  Then, road and lane feature extraction is performed on the corrected data.  ... 
doi:10.1109/access.2020.2983149 fatcat:t3w7nopogvbhvbbkgpk3dknn5u