13136 / 13144 - System Testing IntelLigent Lab

Publications 2023

Papers in WoS Journals

BAYRAM, F. and B. AL-BEYWANEE. A Domain-region Based Evaluation of ML Performance Robustness to Covariate Shift. Neural Computing and Applications. 2023, 35(24), 17555-17577. ISSN 0941-0643. DOI 10.1007/s00521-023-08622-w.

CHAHED,, H., et al. AIDA-A Holistic AI-driven Networking and Processing Framework for Industrial IoT Applications. Internet of Things. 2023, 22 ISSN 2542-6605. DOI 10.1016/j.iot.2023.100805. Available from: https://www.sciencedirect.com/science/article/pii/S2542660523001282

SILHAVY, R., et al. More Accurate Cost Estimation for Internet of Things Projects by Adaptation of Use Case Points Methodology. IEEE Internet of Things Journal. 2023, 10(21), 19312-19327. ISSN 2327-4662. DOI 10.1109/JIOT.2023.3281614. Available from: https://ieeexplore.ieee.org/abstract/document/10139806

HINDY, H., et al. Leveraging siamese networks for one-shot intrusion detection model. Journal of Intelligent Information Systems. 2023, 60(2), 407-436. ISSN 0925-9902. DOI 10.1007/s10844-022-00747-z.

BAYRAM,, F., et al. DA-LSTM: A Dynamic Drift-adaptive Learning Framework for Interval Load Forecasting with LSTM Networks. Engineering Applications of Artificial Intelligence. 2023, 123 ISSN 0952-1976. DOI 10.1016/j.engappai.2023.106480.

ALIPIO, M. and M. BUREŠ. Intelligent Network Maintenance Modeling for Fixed Broadband Networks in Sustainable Smart Homes. IEEE Internet of Things Journal. 2023, 10(20), 18067-18081. ISSN 2327-4662. DOI 10.1109/JIOT.2023.3277590. Available from: https://ieeexplore.ieee.org/document/10129125

ALIPIO, M. and M. BUREŠ. Deep Reinforcement Learning Perspectives on Improving Reliable Transmissions in IoT Networks: Problem Formulation, Parameter Choices, Challenges, and Future Directions. Internet of Things. 2023, 23 ISSN 2542-6605. DOI 10.1016/j.iot.2023.100846. Available from: https://www.sciencedirect.com/science/article/abs/pii/S2542660523001695

PARKER, G., et al. Visualizing Anti-Patterns in Microservices at Runtime: A Systematic Mapping Study. IEEE Access. 2023, 11 4434-4442. ISSN 2169-3536. DOI 10.1109/ACCESS.2023.3236165. Available from: https://ieeexplore.ieee.org/document/10015027

KLÍMA, M., et al. Specialized Path-based Technique to Test Internet of Things System Functionality under Limited Network Connectivity. Internet of Things. 2023, 22 ISSN 2543-1536. DOI 10.1016/j.iot.2023.100706.

Conference Proceedings

SMITH, S., et al. Benchmarks for End-to-End Microservices Testing. In: 2023 IEEE International Conference on Service-Oriented System Engineering (SOSE). 2023 IEEE International Conference on Service-Oriented System Engineering, Atény, 2023-07-17/2023-07-20. Los Alamitos: IEEE Computer Society, 2023. p. 60-66. ISSN 2642-6587. ISBN 979-8-3503-2239-2. DOI 10.1109/SOSE58276.2023.00013.

CHAGUILE, C., M. ALIPIO, and M. BUREŠ. A Classification of Cross-Layer Optimization Approaches in LoRaWAN for Internet of Things. In: 2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN). 2023 Fourteenth International Conference on Ubiquitous and Future Networks, Paris, 2023-07-04/2023-07-07. ???: IEEE Industrial Electronic Society, 2023. p. 259-264. ISSN 2165-8536. ISBN 979-8-3503-3538-5. DOI 10.1109/ICUFN57995.2023.10199434. Available from: https://ieeexplore.ieee.org/abstract/document/10199434

KLÍMA, M., et al. Open Benchmark Testbed to Evaluate Effectiveness of Path-based Tests. In: 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). 2023 IEEE International Conference on Software Testing, Verification and Validation, Dublin, 2023-04-16/2023-04-20. Los Alamitos: IEEE Computer Society Press, 2023. p. 126-130. ISSN 2159-4848. ISBN 979-8-3503-3335-0. DOI 10.1109/ICSTW58534.2023.00034.

BAYRAM, F., et al. DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications. In: Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering. 27th International Conference on Evaluation and Assessment in Software Engineering, Oulu, 2023-06-13/2023-06-16. New York: Association for Computing Machinery, 2023. p. 32-41. ISBN 979-8-4007-0044-6. DOI 10.1145/3593434.3593445.