A systematic review of machine learning methods in software testing

S Ajorloo, A Jamarani, M Kashfi, MH Kashani… - Applied Soft …, 2024 - Elsevier
Background The quest for higher software quality remains a paramount concern in software
testing, prompting a shift towards leveraging machine learning techniques for enhanced …

SBST tool competition 2022

A Gambi, G Jahangirova, V Riccio… - Proceedings of the 15th …, 2022 - dl.acm.org
We report on the organization, challenges, and results of the tenth edition of the Java Unit
Testing Competition as well as the second edition of the Cyber-Physical Systems (CPS) …

Machine learning-based test selection for simulation-based testing of self-driving cars software

C Birchler, S Khatiri, B Bosshard, A Gambi… - Empirical Software …, 2023 - Springer
Simulation platforms facilitate the development of emerging Cyber-Physical Systems (CPS)
like self-driving cars (SDC) because they are more efficient and less dangerous than field …

Simulation-based test case generation for unmanned aerial vehicles in the neighborhood of real flights

S Khatiri, S Panichella, P Tonella - 2023 IEEE Conference on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), also known as drones, are acquiring increasing
autonomy. With their commercial adoption, the problem of testing their functional and non …

Advancements in Nanomaterials for Nanosensors: A Comprehensive Review

MA Darwish, W Abd-Elaziem, A Elsheikh… - Nanoscale …, 2024 - pubs.rsc.org
Nanomaterials (NMs) possess unique properties that render them highly suitable for
developing sensitive and selective nanosensors across various domains. This review aims …

A Roadmap for Simulation-Based Testing of Autonomous Cyber-Physical Systems: Challenges and Future Direction

C Birchler, S Khatiri, P Rani, T Kehrer… - ACM Transactions on …, 2024 - dl.acm.org
As the era of autonomous cyber-physical systems (ACPSs), such as unmanned aerial
vehicles and self-driving cars, unfolds, the demand for robust testing methodologies is key to …

[HTML][HTML] An Intelligent Attack Detection Framework for the Internet of Autonomous Vehicles with Imbalanced Car Hacking Data

S Alshathri, A Sayed, EED Hemdan - World Electric Vehicle Journal, 2024 - mdpi.com
The modern Internet of Autonomous Vehicles (IoVs) has enabled the development of
autonomous vehicles that can interact with each other and their surroundings, facilitating …

How does simulation-based testing for self-driving cars match human perception?

C Birchler, TK Mohammed, P Rani, T Nechita… - Proceedings of the …, 2024 - dl.acm.org
Software metrics such as coverage or mutation scores have been investigated for the
automated quality assessment of test suites. While traditional tools rely on software metrics …

ROME: Testing Image Captioning Systems via Recursive Object Melting

B Yu, Z Zhong, J Li, Y Yang, S He, P He - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Image captioning (IC) systems aim to generate a text description of the salient objects in an
image. In recent years, IC systems have been increasingly integrated into our daily lives …

Evaluating the impact of flaky simulators on testing autonomous driving systems

MH Amini, S Naseri, S Nejati - Empirical Software Engineering, 2024 - Springer
Simulators are widely used to test Autonomous Driving Systems (ADS), but their potential
flakiness can lead to inconsistent test results. We investigate test flakiness in simulation …