There are 2 repositories under empirical-research topic.
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Issue handling for Evidence-based Software Engineering: based on the publicly available data
Artifact repository for the paper "Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code", In Proceedings of The 46th IEEE/ACM International Conference on Software Engineering (ICSE 2024), Lisbon, Portugal, April 2024
A suite of Julia packages for difference-in-differences
Python framework for automatically executing measurement-based experiments on native and web apps running on Android devices
一个基于中国市场的Fama-French五因子实证研究
Template repository for starting a new empirical paper project implementing good practices for reproducibility using R
一个基于中国市场的BW投资者情绪指标实证研究
Regression-based multi-period difference-in-differences with heterogenous treatment effects
Julia package providing access to the Fama-French data available on the Ken French Data Library
Codes to clean data and construct variables for empirical finance.
A sustainable literature review for analyzing the state and evolution of empirical research in requirements engineering using KG-EmpiRE.
The repository contains code and data for the paper https://github.com/sumonbis/ML-Fairness/blob/master/ml-fairness.pdf, to be appeared at ESEC/FSE 2020.
In this study, I empirically and statistically investigate the credibility of common asset pricing beliefs using data from S&P 500® constituents from January 2010–December 2020.
For our ASE20 paper 🏆 "Problems and Opportunities in Training Deep Learning Software Systems: An Analysis of Variance" (🏆 Distinguished Paper Award!) by Hung Viet Pham, Shangshu Qian, Jiannan Wang, Thibaud Lutellier, Jonathan Rosenthal, Lin Tan, Yaoliang Yu, and Nachiappan Nagappan
This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.
For our NeurIPS21 paper "Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training" by Shangshu Qian, Hung Viet Pham, Thibaud Lutellier, Zeou Hu, Jungwon Kim, Lin Tan, Yaoliang Yu, Jiahao Chen, and Sameena Shah
Sequential testing for efficient and reliable comparison of stochastic algorithms.
An experiment to demonstrate the biases and predictability of our world.
Project repository for our first study on observing program comprehension with simultaneous fMRI and eye tracking
Replication package for the ICSE-SEIS 2024 paper titled "An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms".
Testing for Ethereum Smart Contract: An Empirical Study
Evolution of a Haskell repository and its use of monads: an exploratory study of Stackage
Investigate BERT on Non-linearity and Layer Commutativity
Python script, which creates images from code for program-comprehension studies.
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
This repository contains all of the files involved in my Applied Economics Dissertation (AED) as part of my BSc Economics course at the University of Bristol. The dissertation is titled 'Herding within Chinese Equity Markets in Response to COVID-19 'Lockdown Style' Containment Measures'.
Collection of materials on academic writing in economics, business, and social science.
Examination of traffic conditions in different shared space road enviroments
This repository is a fork of a repository originally created by Lucas Descause. It is the codebase used for my Master's dissertation "Reinforcement Learning with Function Approximation in Continuing Tasks: Discounted Return or Average Reward?" which was also an extension of Luca's work.
R package: crseEventStudy
Framework to compare commit-untangling tools fairly and accurately.
the empirical analysis focused on resource dilution theory, access to education, and gender discrimination. innovated to consider parental education participation from CEPS. Stata
Análise de Impacto com o Modelo de Insumo-Produto no Python