activity
20192025
most citedOn the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations

92 citations · 242 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.SE2020★ 6 cited

Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith

Md Rafiqul Islam Rabin, Mohammad Amin Alipour

The correctness of compilers is instrumental in the safety and reliability of other software systems, as bugs in compilers can produce executables that do not reflect the intent of…

cs.LG2020★ 19 cited

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…

cs.SE2020★ 92 cited

On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations

Md Rafiqul Islam Rabin, Nghi D. Q. Bui, Ke Wang +3

With the prevalence of publicly available source code repositories to train deep neural network models, neural program models can do well in source code analysis tasks such as pred…

cs.SI2020★ 5 cited

COVID-19: Social Media Sentiment Analysis on Reopening

Mohammed Emtiaz Ahmed, Md Rafiqul Islam Rabin, Farah Naz Chowdhury

The novel coronavirus (COVID-19) pandemic is the most talked topic in social media platforms in 2020. People are using social media such as Twitter to express their opinion and sha…

cs.SE2020★ 8 cited

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations

Md Rafiqul Islam Rabin, Mohammad Amin Alipour

The abundance of publicly available source code repositories, in conjunction with the advances in neural networks, has enabled data-driven approaches to program analysis. These app…