Name: Masud Rahman
Type: User
Company: Dalhousie University
Bio: Automated Software Debugging, Code Search and Code reviews. I do Information Retrieval, Static Code Analysis, Machine/Deep Learning and Large Data Analytics.
Twitter: masud2336
Location: Halifax, Canada
Blog: https://web.cs.dal.ca/~masud
Masud Rahman's Projects
Improved Query Reformulation for Concept Location using CodeRank and Document Structures
Run your GitHub Actions locally 🚀
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Improving IR-Based Bug Localization with Effective Reformulation of Query using Crowdsourced Data Analytics
sample....
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
Improving IR-Based Bug Localization with Context-Aware Query Reformulation
The tool implementation of the thesis work of Masud Rahman
Resources for CMPT 370 tutorials
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
CodeInsight: Recommending Insightful Comments for Source Code using Crowdsourced Knowledge
A replication package of the systematic literature review on automated query reformulations supporting source code search.
The application extracts noise-free and relevant content from a web page against a programming error or exception
Content Extraction via Text Density
An Eclipse plugin that extracts relevant as well as noise-free content sections from a web page against an error or exception in the IDE.
Recommending Relevant Sections from a Webpage About Programming Errors and Exceptions
CORRECT: Code Reviewer Recommendation Based on Cross-Project & Technology Experience
Replication package of CROKAGE: Crowd Knowledge Answer Generator
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
An XML parser for extracting data from Stack Overflow data dump.
ebooks
Open Source, Distributed, RESTful Search Engine
The replication package for EMSE 2019 submission
An integration of SurfClipse, QueryClipse, ContentSuggest and SurfExample
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Feature selector is a tool for dimensionality reduction of machine learning datasets