23 citations · 102 across the 34 of their papers we have counts for
6 papers · 1 filter
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark
Hung Phan, Ali Jannesari
Neural Machine Translation (NMT) is widely applied in software engineering tasks. The effectiveness of NMT for code retrieval relies on the ability to learn from the sequence of to…
Redundancy and Concept Analysis for Code-trained Language Models
Arushi Sharma, Zefu Hu, Christopher Quinn +1
Code-trained language models have proven to be highly effective for various code intelligence tasks. However, they can be challenging to train and deploy for many software engineer…
GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary and Source Code Matching
Ali TehraniJamsaz, Hanze Chen, Ali Jannesari
Matching binary to source code and vice versa has various applications in different fields, such as computer security, software engineering, and reverse engineering. Even though th…
Heterogeneous Graph Neural Networks for Software Effort Estimation
Hung Phan, Ali Jannesari
Software effort can be measured by story point [35]. Current approaches for automatically estimating story points focus on applying pre-trained embedding models and deep learning f…
Story Point Effort Estimation by Text Level Graph Neural Network
Hung Phan, Ali Jannesari
Estimating the software projects' efforts developed by agile methods is important for project managers or technical leads. It provides a summary as a first view of how many hours a…
Automatic Repair and Type Binding of Undeclared Variables using Neural Networks
Venkatesh Theru Mohan, Ali Jannesari
Deep learning had been used in program analysis for the prediction of hidden software defects using software defect datasets, security vulnerabilities using generative adversarial…