Cristina Landin
Position: Doctoral Student School/office: School of Science and TechnologyEmail: cristina.landin@oru.se
Phone: No number available
Room: -
Publications
Conference papers |
Licentiate theses, comprehensive summaries |
Conference papers
- Landin, C. , Zhao, X. , Längkvist, M. & Loutfi, A. (2023). An Intelligent Monitoring Algorithm to Detect Dependencies between Test Cases in the Manual Integration Process. In: 2023 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW). Paper presented at 16th IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW 2023), Dublin, Ireland, April 16-20, 2023. (pp. 353-360). IEEE.
- Landin, C. , Liu, J. , Katsarou, K. & Tahvili, S. (2023). Time Series Anomaly Detection using Convolutional Neural Networks in the Manufacturing Process of RAN. In: 2023 IEEE International Conference On Artificial Intelligence Testing (AITest). Paper presented at 5th IEEE International Conference on Artificial Intelligence Testing (AITest 2023), Athens, Greece, July 17-20, 2023. (pp. 90-98). IEEE.
- Landin, C. , Liu, J. & Tahvili, S. (2021). A Dynamic Threshold Based Approach for Detecting the Test Limits. In: Lugi Lavazza; Hironori Washizaki; Herwig Mannert, Sixteenth International Conference on Software Engineering Advances (ICSEA 2021). Paper presented at The Sixteenth International Conference on Software Engineering Advances (ICSEA 2021), Barcelona, Spain, October 3-7, 2021. (pp. 71-80). International Academy, Research, and Industry Association (IARIA).
- Landin, C. , Tahvili, S. , Haggren, H. , Längkvist, M. , Muhammad, A. & Loutfi, A. (2020). Cluster-Based Parallel Testing Using Semantic Analysis. In: 2020 IEEE International Conference On Artificial Intelligence Testing (AITest). Paper presented at 2nd IEEE International Conference on Artificial Intelligence Testing (AITest 2020), Oxford, United Kingdom, August 3-6, 2020. (pp. 99-106). IEEE.
- Landin, C. , Hatvani, L. , Tahvili, S. , Haggren, H. , Längkvist, M. , Loutfi, A. & Håkansson, A. (2020). Performance Comparison of Two Deep Learning Algorithms in Detecting Similarities Between Manual Integration Test Cases. In: The Fifteenth International Conference on Software Engineering Advances. Paper presented at The Fifteenth International Conference on Software Engineering Advances (ICSEA 2020), Porto, Portugal, October 18-22, 2020. (pp. 90-97). International Academy, Research and Industry Association (IARIA).
Licentiate theses, comprehensive summaries
- Landin, C. (2023). AI-Based Methods For Improved Testing of Radio Base Stations: A Case Study Towards Intelligent Manufacturing. Lic. (Comprehensive summary) Örebro: Örebro University.