[HTML][HTML] AlexNet architecture based convolutional neural network for toxic comments classification
I Singh, G Goyal, A Chandel - Journal of King Saud University-Computer …, 2022 - Elsevier
Today online networking has become an indispensable part of life for people all over the
world. It is difficult for users to reduce their internet/online communications, as the flow of …
world. It is difficult for users to reduce their internet/online communications, as the flow of …
Ai-assisted programming tasks using code embeddings and transformers
This review article provides an in-depth analysis of the growing field of AI-assisted
programming tasks, specifically focusing on the use of code embeddings and transformers …
programming tasks, specifically focusing on the use of code embeddings and transformers …
Mitigating false positive static analysis warnings: Progress, challenges, and opportunities
Static analysis (SA) tools can generate useful static warnings to reveal the problematic code
snippets in a software system without dynamically executing the corresponding source code …
snippets in a software system without dynamically executing the corresponding source code …
Improving bert model accuracy for uni-modal aspect-based sentiment analysis task
A Chauhan, R Mohana - Scalable Computing: Practice and Experience, 2023 - scpe.org
Techniques and methods for examining users' feelings, emotions, and views in text or other
media are known as” sentiment analysis,” this phrase is used frequently. In many areas …
media are known as” sentiment analysis,” this phrase is used frequently. In many areas …
LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates
Developers insert logging statements in the source code to collect important runtime
information about software systems. The textual descriptions in logging statements (ie …
information about software systems. The textual descriptions in logging statements (ie …
Can an old fashioned feature extraction and a light-weight model improve vulnerability type identification performance?
Recent advances in automated vulnerability detection have achieved potential results in
helping developers determine vulnerable components. However, after detecting …
helping developers determine vulnerable components. However, after detecting …
Code-centric learning-based just-in-time vulnerability detection
Attacks against computer systems exploiting software vulnerabilities can cause substantial
damage to the cyber infrastructure of our modern society and economy. To minimize the …
damage to the cyber infrastructure of our modern society and economy. To minimize the …
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
Transformer based code models have impressive performance in many software
engineering tasks. However, their effectiveness degrades when symbols are missing or not …
engineering tasks. However, their effectiveness degrades when symbols are missing or not …
VFFINDER: A Graph-based Approach for Automated Silent Vulnerability-Fix Identification
The increasing reliance of software projects on third-party libraries has raised concerns
about the security of these libraries due to hidden vulnerabilities. Managing these vul …
about the security of these libraries due to hidden vulnerabilities. Managing these vul …
On the temporal relations between logging and code
Prior work shows that misleading logging texts (ie, the textual descriptions in logging
statements) can be counterproductive for developers during their use of logs. One of the …
statements) can be counterproductive for developers during their use of logs. One of the …