BAFFLE: Hiding Backdoors in Offline Reinforcement Learning Datasets

C Gong, Z Yang, Y Bai, J Shi, J He, K Li… - 2024 IEEE Symposium …, 2024 - computer.org
Reinforcement learning (RL) makes an agent learn from trial-and-error experiences
gathered during the interaction with the environment. Recently, offline RL has become a …

Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering

H Zhang, L Kuang, A Wu, Q Zhao, X Yang - IET Software, 2023 - Wiley Online Library
Abstract Just‐In‐Time (JIT) defect prediction aims to predict the defect proneness of software
changes when they are initially submitted. It has become a hot topic in software defect …

Finite State GUI Testing with Test Case Prioritization Using Z-BES and GK-GRU

S Kumar, Nitin, M Yadav - Applied Sciences, 2023 - mdpi.com
To deliver user-friendly experiences, modern software applications rely heavily on graphical
user interfaces (GUIs). However, it is paramount to ensure the quality of these GUIs through …

An Effective GDP-LSTM and SDQL-Based Finite State Testing of GUI

S Kumar, Nitin, M Yadav - Applied Sciences, 2024 - mdpi.com
The Graphical User Interface (GUI) is the most promising factor in the Software Development
Lifecycle (SDL), which allows the users to interact with the system. To ensure user …

HOTCP: Hybrid Optimal Test Case Prioritisation with Multi-Objective Constraints

MB Wagh, VV Puri, SB Waykar… - Journal of Information & …, 2024 - World Scientific
As a result of late detection and resource limitations during any software evaluation, there
have been several software-related breakdowns or malfunctions. Many people have begun …

BAFFLE: Backdoor Attack in Offline Reinforcement Learning

C Gong, Z Yang, Y Bai, J He, J Shi, K Li… - arXiv preprint arXiv …, 2022 - arxiv.org
A growing body of research has focused on the Reinforcement Learning (RL) methods
which allow the agent to learn from trial-and-error experiences gathered during the …

Prioritizing automated test cases of Web applications using reinforcement learning: an enhancement

HG Nguyen, HD Le, V Nguyen - 2021 13th International …, 2021 - ieeexplore.ieee.org
Test prioritization helps reduce the time needed to perform testing on the target application
under test. It is even more critical when there are lots of tests to be tested within a short …

[PDF][PDF] An Improved Deep Learning Based Test Case Prioritization Using Deep Reinforcement Learning.

R Shankar, D Sridhar - International Journal of Intelligent …, 2024 - researchgate.net
Continuous integration (CI) testing is crucial in modern software engineering and test case
prioritization (TCP) techniques improve regression testing (RT) by prioritizing test cases …

Model Proposal for Testing Websites in Multiple Browsers: Case of Selenium Test Tool

CU BAYTAR - Topkapı Sosyal Bilimler Dergisi, 2022 - dergipark.org.tr
Automated software testing has critical advantages when compared with manual software
testing. Selenium test tool is one of test tools that specialists use to test web applications or …

[PDF][PDF] Ensemble approaches for Test Case Prioritization in UI testing.

T Cao, T Vu, H Le, V Nguyen - SEKE, 2022 - ksiresearch.org
Test case prioritization, which focuses on ranking test cases, is an important activity in
software engineering given a large number of test cases to be executed within a short period …