Journal and Conference Publications

Journal Publications

Conference Publications

  • Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman, “DQSOps: Data Quality Scoring Operations Framework for Data-Driven Applications“, EASE ’23: Proceedings of the 27th International Conference on Evaluation and Assessment in Software EngineeringJune 2023, Pages 32–41.
  • Yunpeng Ma, Khalil Younis, Bestoun S. Ahmed, Andreas Kassler, Pavel Krakhmalev, Andreas Thore, Hans Lindback, “Automated and Systematic Digital Twins Testing for Industrial Processes“, 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW), 2023, Pages: 149-158.
  • Muhammad Usman, Simone Ferlin, Anna Brunstrom and Javid Taheri, “DESK: Distributed Observability Framework for Edge-Based Containerized Microservices,” 2023 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), Gothenburg, Sweden, 2023, pp. 617-622, doi: 10.1109/EuCNC/6GSummit58263.2023.10188344.
  • Simon Sundberg, Anna Brunstrom, Simone Ferlin-Reiter, Toke Høiland-Jørgensen, and Jesper Dangaard Brouer. 2023. Efficient Continuous Latency Monitoring with eBPF. In Passive and Active Measurement: 24th International Conference, PAM 2023, Virtual Event, March 21–23, 2023, Proceedings. Springer-Verlag, Berlin, Heidelberg, 191–208. https://doi.org/10.1007/978-3-031-28486-1_9
  • Florian Frick, Stefan Oechsle, Hamza Chahed, Andreas Kassler, Dietmar Bruckner, “Towards Viable Open Source TSN – Status and Next Steps”, TSN/A conference, September 22-23 2022, Stuttgart, Germany
  • Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin, Anton Engman, “Quality Assurance in MLOps Setting: An Industrial Perspective“,Third International Workshop on Intelligent Software Engineering Automation, colocated with APSEC2022, December, 6-9, 2022, Japan 
  • Firas Bayram, Bestoun S. Ahmed, Erik Hallin, Anton Engman, “A Drift Handling Approach for Self-Adaptive ML Software in Scalable Industrial Processes“, The 37th IEEE/ACM International Conference on Automated Software Engineering (ASE), Mon 10 – Fri 14 October 2022 Oakland Center, Michigan, United States.
  • Ayan Chatterjee, Bestoun S. Ahmed, Erik Hallin, Anton Engman, “Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application“, ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), Mon 14 – Fri 18 November 2022 Singapore.
  • Yunpeng Ma, Andreas Kassler, Bestoun S. Ahmed, Pavel Krakhmalev, Andreas Thore, Arash Toyser, and Hans Lindbäck: “Using Deep Reinforcement Learning for Zero Defect Smart Forging”, In: The 10th Swedish Production Symposium, SPSS 2022, April 26-29, Skövde, Sweden
  • Vaclav Rechtberger, Miroslav Bures, and Bestoun S. Ahmed: ”Overview of Test Coverage Criteria for Test Case Generation from Finite State Machines Modelled as Directed Graphs“, International Workshop on User Interface Test Automation and Testing Techniques for Event Based Software (INTUITESTBEDS 2022) colocated with ICST2022.
  • Vaclav Rechtberger, Miroslav Bures, Bestoun S. Ahmed, Youcef Belkhier, Jiri Nema and Hynek Schvach, ”Prioritized Variable-length Test Cases Generation for Finite State Machines” 6th International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems 2022, Co-located with International conference on Software Testing (ICST2022).
  • S. Sundberg, A. Brunstrom, S. Ferlin-Reiter, T. Høiland-Jørgensen and J. Dangaard Brouer, “Passive Monitoring of Network Latency at High Line Rates”, SNCNW 2022.
  • M. Usman, S. Ferlin-Reiter, J. Taheri and A. Brunstrom, ”An Observability Framework for Containerized Microservices in Edge Infrastructures”, SNCNW 2022.
  • O. Tavallaie, J. Taheri, and A. Y. Zomaya, “Towards Optimizing Time-Slotted Channel Hopping Scheduling on 6TiSCH Networks,” in The 18th ACM International Conference on Embedded Networked Sensor Systems (SenSys), 2020, pp. 737-738.
  • Z. Xiang, S. Deng, F. Jiang, H. Gao, J. Taheri, and J. Yin, “Computing Power Allocation and Traffic Scheduling for Edge Service Provisioning,” in IEEE International Conference on Web Services (IEEE ICWS), 2020, pp. 394-403.
  • A. Al-Dulaimy, J. Taheri, A. V. Papadopoulos, and T. Nolte, “LOOPS: A Holistic Control Approach for Resource Management in Cloud Computing,” in Proceedings of the ACM/SPEC International Conference on Performance Engineering, Virtual Event, France, 2021, pp. 117-124: Association for Computing Machinery.
  • Hamza Chahed, Andreas J. Kassler, “Software-Defined Time Sensitive Networks Configuration and Management”, in: Proceedings of IEEE NFV SDN 2021, 9-11 Nov. 2021
  • O. Tavallaie, J. Taheri, and A. Y. Zomaya, “Game-Theoretic Optimization of the TSCH Scheduling Function for Low-Power IoT Networks: Poster Abstract,” in The 20th International Conference on Information Processing in Sensor Networks (IPSN), 2021, pp. 392-393.
  • S. Sundberg and A. Brunstrom. “Using BPF to Measure Latency at High Link Speeds”, ACM Internet Measurement Conference (IMC), November 2021. (Poster paper)
  • O. Tavallaie, J. Taheri, and A. Y. Zomaya, “Design and Optimization of Traffic-Aware TSCH Scheduling for Mobile 6TiSCH Networks,” in International Conference on Internet-of-Things Design and Implementation (IoTDI), 2021, pp. 234-246.
  • A. Mahjoubi, J. Taheri, and K.-J. Grinnemo, “Optimal Placement of Recurrent Service Chains on Distributed Edge-Cloud Infrastructures,” in IEEE 46th Conference on Local Computer Networks (LCN 2021), October 2021.
  • Miroslav Bures, Bestoun S. Ahmed Ahmed, Vaclav Rechtberger, Matej Klima, Michal Trnka, Miroslav Jaros, Xavier Bellekens, Dani Almog, Pavel Herout, “PatrIoT: IoT Automated Interoperability and Integration Testing Framework” International Conference of Software Testing (ICST2021).
  • T. Wang, S. Ferlin, and M. Chiesa. “Predicting CPU usage for proactive autoscaling.” In 1st Workshop on Machine Learning and Systems (EuroMLSys ’21). April 2021.
  • Klima M., Rechtberger V., Bures M., Bellekens X., Hindy H., Bestoun S. Ahmed, “Quality and Reliability Metrics for IoT Systems: A Consolidated View“, Science and Technologies for Smart Cities. SmartCity360° 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 372. Springer, Cham. https://doi.org/10.1007/978-3-030-76063-2_42