Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Detecting bad smells in source code using change history information
Predicting source code changes by mining change history
Comparing and experimenting machine learning techniques for code smell detection
Estimating defectiveness of source code: A predictive model using GitHub content
Automatic mining of source code repositories to improve bug finding techniques
Predicting Bugs in Source Code Changes with Incremental Learning Method
A Hybrid Approach To Detect Code Smells using Deep Learning
JSpIRIT: a flexible tool for the analysis of code smells
An interactive ambient visualization for code smells
Investigating the Evolution of Bad Smells in Object-Oriented Code
Coming: a Tool for Mining Change Pattern Instances from Git Commits
Semantic Impact and Faults in Source Code Changes: An Empirical Study
When and Why Your Code Starts to Smell Bad (and Whether the Smells Go Away)
Syntax tree fingerprinting for source code similarity detection
Diggit: Automated code review via software repository mining
improving changedistiller improving abstract syntax tree based source code change detection .
Visualization of fine-grained code change history
Interactive Code Review for Systematic Changes
CP-Miner: finding copy-paste and related bugs in large-scale software code
CVSscan: Visualization of Code Evolution
Fine-grained and accurate source code differencing
A Universal UHF RFID Reader IC in 0.18-µm CMOS Technology
Multiple trace theory of human memory: computational, neuroimaging, and neuropsychological results
Theoretical Foundations of Association Rules
A fair online payment system for digital content via subliminal channel
Two-Factor Authentication Resilient to Server Compromise Using Mix-Bandwidth Devices