An empirical study on performance bugs in deep learning frameworks
Machine Learning (ML) and Deep Learning (DL) applications are becoming more popular
due to the availability of DL frameworks such as TensorFlow and PyTorch. Therefore, the …
due to the availability of DL frameworks such as TensorFlow and PyTorch. Therefore, the …
Inferring performance bug patterns from developer commits
Performance bugs, ie, program source code that is unnecessarily inefficient, have received
significant attention by the research community in recent years. A number of empirical …
significant attention by the research community in recent years. A number of empirical …
Predicting bug in a software using ANN based machine learning techniques
P Rashmi, P Kambli - 2020 IEEE International Conference for …, 2020 - ieeexplore.ieee.org
To achieve a successful software, bug prediction mainly place an important role. Nowadays,
bug prediction has become an essential argument in the maintenance and development …
bug prediction has become an essential argument in the maintenance and development …
A Comprehensive Analysis of Machine Learning Methods for Bug Prediction in Software Development
C Ravikumar, KH Kumar, N Sathish, S Suhasini… - … Conference on Data …, 2023 - Springer
In order to create software that is reliable, efficient, and of the highest quality, it is imperative
to predict and address bugs during the development stage. Early detection of faults is …
to predict and address bugs during the development stage. Early detection of faults is …
Investigating and Testing Performance Issues in Deep Learning Frameworks
T Makkouk - 2023 - spectrum.library.concordia.ca
Machine Learning (ML) and Deep Learning (DL) applications are becoming more popular
due to the availability of DL frameworks such as PyTorch, Keras, and TensorFlow. Therefore …
due to the availability of DL frameworks such as PyTorch, Keras, and TensorFlow. Therefore …
Design of information tree for support related queries: Axis Communications AB: An exploratory research study in debug suggestions with machine learning at Axis …
SB Rangavajjula - 2017 - diva-portal.org
Objectives: The focus of the thesis is to improve turn around time of customer queries using
recommendations and evaluate by defining metrics in comparison to existing workflow. As …
recommendations and evaluate by defining metrics in comparison to existing workflow. As …