19 citations · 57 across the 17 of their papers we have counts for
5 papers · 1 filter
Gray-box Adversarial Attack of Deep Reinforcement Learning-based Trading Agents
Foozhan Ataiefard, Hadi Hemmati
In recent years, deep reinforcement learning (Deep RL) has been successfully implemented as a smart agent in many systems such as complex games, self-driving cars, and chat-bots. O…
Domain Adaptation for Code Model-based Unit Test Case Generation
Jiho Shin, Sepehr Hashtroudi, Hadi Hemmati +1
Recently, deep learning-based test case generation approaches have been proposed to automate the generation of unit test cases. In this study, we leverage Transformer-based code mo…
A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation
Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri harzevili +5
The fairness of machine learning (ML) approaches is critical to the reliability of modern artificial intelligence systems. Despite extensive study on this topic, the fairness of ML…
FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair
Sakina Fatima, Hadi Hemmati, Lionel Briand
Flaky tests are problematic because they non-deterministically pass or fail for the same software version under test, causing confusion and wasting development effort. While machin…
A Systematic Literature Review of Explainable AI for Software Engineering
Ahmad Haji Mohammadkhani, Nitin Sai Bommi, Mariem Daboussi +3
Context: In recent years, leveraging machine learning (ML) techniques has become one of the main solutions to tackle many software engineering (SE) tasks, in research studies (ML4S…