AITest

Publications

2023

Ehab Ebrahim, Mazen Sayed, Mahmoud Youssef, Hisham Essam, Salma Abd El-Fattah, Dina Ashraf, Omar Magdy, Reem ElAdawi
AI Decision Assistant ChatBot for Software Release Planning and Optimized Resource Allocation. AITest (2023)
Cristina Landing, Jie Liu, Katerina Katsarou, Sahar Tahvili
Time Series Anomaly Detection using Convolutional Neural Networks in the Manufacturing Process of RAN. AITest (2023)
Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg
Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets. AITest (2023)
Xuan Zheng, Kerstin Eder, Tim Blackmore
Using Neural Networks for Novelty-based Test Selection to Accelerate Functional Coverage Closure. AITest (2023)
Hamzah Al-Qadasi, Yliès Falcone, Saddek Bensalem
Difficulty and Severity-Oriented Metrics for Test Prioritization in Deep Learning Systems. AITest (2023)
Anne-Laure Wozniak, Ngoc Q. K. Duong, Ian Benderitter, Sarah Leroy, Sergio Segura, Raúl Mazo
Robustness Testing of an Industrial Road Object Detection System. AITest (2023)
Muyeed Ahmed, Iulian Neamtiu
DeAnomalyzer: Improving Determinism and Consistency in Anomaly Detection Implementations. AITest (2023)
Huanhuan Zhao, Haihua Chen, Hong-Jun Yoon
Enhancing Text Classification Models with Generative AI-aided Data Augmentation. AITest (2023)
IEEE International Conference On Artificial Intelligence Testing, AITest 2023, Athens, Greece, July 17-20, 2023 AITest (2023)
Gabriele Incorvaia, Darryl Hond, Hamid Asgari
Uncertainty Quantification for Machine Learning Output Assurance using Anomaly-based Dataset Dissimilarity Measures. AITest (2023)
Emanuele De Angelis, Guglielmo De Angelis, Maurizio Proietti
A Classification Study on Testing and Verification of AI-based Systems. AITest (2023)
Weison Lin, Xianpo Ni, Tughrul Arslan
Resource-Aware Online Permanent Fault Detection Mechanism for Streaming Convolution Engine in Edge AI Accelerators. AITest (2023)
Masatoshi Sekine, Daisuke Shimbara, Tomoyuki Myojin, Eri Imatani
Visualization Tool for Extraction of Various Attributes and Corresponding Data for Dataset Quality Assessment. AITest (2023)
Faqeer ur Rehman, Madhusudan Srinivasan
Metamorphic Testing For Machine Learning: Applicability, Challenges, and Research Opportunities. AITest (2023)
Mohamed Abdelkarim, Reem ElAdawi
TCP-Net++: Test Case Prioritization Using End-to-End Deep Neural Networks - Deployment Analysis and Enhancements. AITest (2023)
Abanoub Ghobrial, Darryl Hond, Hamid Asgari, Kerstin Eder
A Trustworthiness Score to Evaluate DNN Predictions. AITest (2023)
Manuel Magalhães, Ângelo Morgado, Henrique Jesus, Nuno Pombo
Unlocking the Potential of Dynamic Languages: An Exploration of Automated Unit Test Generation Techniques. AITest (2023)
Yue Ding, Qian Wu, Yinzhu Li, Dongdong Wang, Jiaxin Huang
Leveraging Deep Learning Models for Cross-function Null Pointer Risks Detection. AITest (2023)
Kate Kargozari, Junhua Ding, Haihua Chen
Evaluating the Impact of Incentive/Non-incentive Reviews on Customer Decision-making. AITest (2023)
Jesús Morán, Antonia Bertolino, Claudio de la Riva, Javier Tuya
Fault Localization for Reinforcement Learning. AITest (2023)
Yulia Kumar, Patricia Morreale, P. Sorial, J. Delgado, J. Jenny Li, P. Martins
A Testing Framework for AI Linguistic Systems (testFAILS). AITest (2023)
Yejun He, Muslim Razi, Jerry Zeyu Gao, Chuanqi Tao
A Framework for Autonomous Vehicle Testing Using Semantic Models. AITest (2023)
Huyen Nguyen, Haihua Chen, Roopesh Maganti, K. S. M. Tozammel Hossain, Junhua Ding
Measurement and Identification of Informative Reviews for Automated Summarization. AITest (2023)
Xi Luo, Yuhui Deng, Junjie Liu, Sirong Wu, Gengchen Sun
Debunk online rumors via generative-contrastive learning based on tree-transformer. AITest (2023)
Ramya Srinivasan, Hiroya Inakoshi, Kanji Uchino
Leveraging Cognitive Science for Testing Large Language Models. AITest (2023)

2022

2021