تجاوز إلى المحتوى الرئيسي

Conference paper Element-Based Test Suite Reduction for SARSA-Generated Test Suites

Author name : ABDULLAH SAWDI MUSAYLIKH ALENZI
Publication Date : 2024-03-11
Journal Name : ITNG 2024: 21st International Conference on Information Technology-New Generations.

Abstract

The widespread use of Android apps motivates exploration of efficient testing approaches that improve quality while addressing real-world time constraints and budgets for testing. Automated test generation with Reinforcement Learning (RL) algorithms have shown promise, but there is room for improvement as these algorithms often produce test suites with redundant coverage. Fine tuning RL algorithms is one possible solution but time-consuming due to complex characteristics of software under test. In this study, we employ a hybrid methodology to address the problem at a more general level. The hybrid methodology takes test suites generated by reinforcement learning as an input and applies test suite reduction to remove redundancy. The proposed algorithm utilizes a greedy approach to quickly reduce test suites generated by SARSA based on elements. Outcomes show a significant reduction ranging from 25.61% to 65.78% while maintaining a high level of code coverage with a loss of 0.69% at most.

Keywords

Mobile Application Testing, Regression Testing, Reinforcement Learning, SARSA, Test Suite Reduction

Publication Link

https://doi.org/10.1007/978-3-031-56599-1_50

Block_researches_list_suggestions

Suggestions to read

HIDS-IoMT: A Deep Learning-Based Intelligent Intrusion Detection System for the Internet of Medical Things
Ahlem . Harchy Ep Berguiga
Generalized first approximation Matsumoto metric
AMR SOLIMAN MAHMOUD HASSAN
Structure–Performance Relationship of Novel Azo-Salicylaldehyde Disperse Dyes: Dyeing Optimization and Theoretical Insights
EBTSAM KHALEFAH H ALENEZY
“Synthesis and Characterization of SnO₂/α-Fe₂O₃, In₂O₃/α-Fe₂O₃, and ZnO/α-Fe₂O₃ Thin Films: Photocatalytic and Antibacterial Applications”
Asma Arfaoui
تواصل معنا