13136 / 13144 - Publications - 2022

13136 / 13144 - System Testing IntelLigent Lab

Publications 2022

Papers in WoS Journals

SARHAN, Q., et al. Software Module Clustering: An In-Depth Literature Analysis. IEEE Transactions on Software Engineering. 2022, 48(6), 1905-1928. ISSN 0098-5589. DOI 10.1109/TSE.2020.3042553.

GORTNEY, M.E., et al. Visualizing Microservice Architecture in the Dynamic Perspective: A Systematic Mapping Study. IEEE Access. 2022, 10 119999-120012. ISSN 2169-3536. DOI 10.1109/ACCESS.2022.3221130. Available from: https://ieeexplore.ieee.org/document/9944666

BUREŠ, M., et al. A Sensor Network Utilizing Consumer Wearables for Telerehabilitation of Post-acute COVID-19 Patients. IEEE Internet of Things Journal. 2022, 9(23), 23795-23809. ISSN 2327-4662. DOI 10.1109/JIOT.2022.3188914. Available from: https://ieeexplore.ieee.org/document/9819904

BUREŠ, M., et al. An Innovative E-Learning Support for Modern History Distance Learning and the Experience during the COVID-19 Lockdown. SUSTAINABILITY. 2022, 14(6), ISSN 2071-1050. DOI 10.3390/su14063631. Available from: https://www.mdpi.com/2071-1050/14/6/3631

RECHTBERGER, V., et al. Novel Strategy Generating Variable-Length State Machine Test Paths. International Journal of Software Engineering and Knowledge Engineering. 2022, 32(08), 1247-1278. ISSN 0218-1940. DOI 10.1142/S0218194022500474.

KLÍMA, M., et al. Selected Code-Quality Characteristics and Metrics for Internet of Things Systems. IEEE Access. 2022, 10(2022), 46144-46161. ISSN 2169-3536. DOI 10.1109/ACCESS.2022.3170475. Available from: https://ieeexplore.ieee.org/document/9762941

CHATTERJEE, A. and B. AL-BEYWANEE. IoT anomaly detection methods and applications: A survey. Internet of Things. 2022, 19 1-17. ISSN 2542-6605. DOI 10.1016/j.iot.2022.100568. Available from: https://www.sciencedirect.com/science/article/pii/S2542660522000622

Papers in Other Journals

BEN FARAH, M.A., et al. Cyber Security in the Maritime Industry: A Systematic Survey of Recent Advances and Future Trends. Information. 2022, 13(1), ISSN 2078-2489. DOI 10.3390/info13010022. Available from: https://www.mdpi.com/2078-2489/13/1/22

UKWANDU, E., et al. Cyber-Security Challenges in Aviation Industry: A Review of Current and Future Trends. Information. 2022, 13(3), ISSN 2078-2489. DOI 10.3390/info13030146. Available from: https://www.mdpi.com/2078-2489/13/3/146

Conference Proceedings

FRAJTÁK, K. and T. ČERNÝ. On Persistent Implications of E2E Testing. In: Enterprise Information Systems. 23rd International Conference on Enterprise Information Systems, virtual conference, 2021-04-26/2021-04-28. Basel: Springer Nature Switzerland AG, 2022. p. 326-338. ISSN 1865-1348. ISBN 978-3-031-08964-0. DOI 10.1007/978-3-031-08965-7_16.

RECHTBERGER, V., M. BUREŠ, and B. AL-BEYWANEE. Overview of Test Coverage Criteria for Test Case Generation from Finite State Machines Modelled as Directed Graphs. In: Proceedings of 2022 IEEE 15th International Conference on Software Testing, Verification and Validation Workshop. 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS, Virtual Event, 2022-04-04/2022-04-13. Cannes: IEEE Computer Society, 2022. p. 207-214. ISSN 2159-4848. ISBN 978-1-6654-9628-5. DOI 10.1109/ICSTW55395.2022.00044.

BUREŠ, M., et al. Factors Impacting Resilience of Internet of Things Systems in Critical Infrastructure. In: AI IoT Congress (AIIoT), 2022 IEEE World. 2022 IEEE World AI IoT Congress (AIIoT), Seattle, 2022-06-06/2022-06-09. IEEE Xplore, 2022. p. 730-735. ISBN 978-1-6654-8453-4. DOI 10.1109/AIIOT54504.2022.9817259.

RECHTBERGER, V., et al. Prioritized Variable-length Test Cases Generation for Finite State Machines. In: Proceedings of 2022 IEEE 15th International Conference on Software Testing, Verification and Validation Workshop. 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION WORKSHOPS, Virtual Event, 2022-04-04/2022-04-13. Cannes: IEEE Computer Society, 2022. p. 11-20. ISSN 2159-4848. ISBN 978-1-6654-9628-5. DOI 10.1109/ICSTW55395.2022.00017.

DAS, D., et al. Analyzing Technical Debt by Mapping Production Logs with Source Code. In: The Recent Advances in Transdisciplinary Data Science. First Southwest Data Science Conference 2022, Waco, 2022-03-25/2022-03-26. Basel: Springer Nature Switzerland AG, 2022. p. 200-212. ISSN 1865-0929. ISBN 978-3-031-23386-9. DOI 10.1007/978-3-031-23387-6_15.

BURGESS, K., et al. Visualizing architectural evolution via provenance tracking: a systematic review. In: RACS '22: Proceedings of the Conference on Research in Adaptive and Convergent Systems. RACS '22: International Conference on Research in Adaptive and Convergent Systems, virtual event, 2022-10-03/2022-10-06. New York: ACM, 2022. p. 83-91. ISBN 978-1-4503-9398-0. DOI 10.1145/3538641.3561493. Available from: https://dl.acm.org/doi/abs/10.1145/3538641.3561493

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