92 citations · 242 across the 25 of their papers we have counts for
5 papers · 1 filter
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Aftab Hussain, Md Rafiqul Islam Rabin, Bowen Xu +2
Although deep neural models substantially reduce the overhead of feature engineering, the features readily available in the inputs might significantly impact training cost and the…
Study of Distractors in Neural Models of Code
Md Rafiqul Islam Rabin, Aftab Hussain, Sahil Suneja +1
Finding important features that contribute to the prediction of neural models is an active area of research in explainable AI. Neural models are opaque and finding such features sh…
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin, Aftab Hussain, Mohammad Amin Alipour +1
Deep Neural Networks (DNNs) are increasingly being used in software engineering and code intelligence tasks. These are powerful tools that are capable of learning highly generaliza…
Towards Demystifying Dimensions of Source Code Embeddings
Md Rafiqul Islam Rabin, Arjun Mukherjee, Omprakash Gnawali +1
Source code representations are key in applying machine learning techniques for processing and analyzing programs. A popular approach in representing source code is neural source c…
Testing Neural Program Analyzers
Md Rafiqul Islam Rabin, Ke Wang, Mohammad Amin Alipour
Deep neural networks have been increasingly used in software engineering and program analysis tasks. They usually take a program and make some predictions about it, e.g., bug predi…