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A comprehensive study on software aging across android versions and vendors.

, , , and . Empir. Softw. Eng., 25 (5): 3357-3395 (2020)

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An Empirical Evaluation of the Energy and Performance Overhead of Monitoring Tools on Docker-Based Systems., , , , and . ICSOC (1), volume 14419 of Lecture Notes in Computer Science, page 181-196. Springer, (2023)A software quality framework for large-scale mission-critical systems engineering., , and . Inf. Softw. Technol., (2018)Assessing Black-box Test Case Generation Techniques for Microservices., , , and . QUATIC, volume 1621 of Communications in Computer and Information Science, page 46-60. Springer, (2022)Software Aging in Image Classification Systems on Cloud and Edge., , , and . ISSRE Workshops, page 342-348. IEEE, (2020)Iterative Assessment and Improvement of DNN Operational Accuracy., , and . ICSE (NIER), page 43-48. IEEE, (2023)Assessing operational accuracy of CNN-based image classifiers using an oracle surrogate., , , and . Intell. Syst. Appl., (2023)Automated functional and robustness testing of microservice architectures., , , and . J. Syst. Softw., (January 2024)Testing the Resilience of MEC-Based IoT Applications Against Resource Exhaustion Attacks., , and . IEEE Trans. Dependable Secur. Comput., 21 (2): 804-818 (March 2024)Federated learning for IoT devices: Enhancing TinyML with on-board training., , , , , and . Inf. Fusion, (April 2024)Future Directions for Software Aging and Rejuvenation Research., , and . Handbook of Software Aging and Rejuvenation, WorldScientific, (2020)