Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Markus Junker, Andreas Dengel
MLR-Predictor: A Versatile and Efficient Computational Framework for Requirements Multi-label ClassificationFront. Artif. Intell. Sec. Machine Learning and Artificial Intelligence (Volume: 7), 2024
DOI:10.3389/frai.2024.1481581
Summra Saleem, Muhammad Nabeel Asim, Andreas Dengel
PassionNet: An Innovative Framework for Duplicate and Conflicting Requirements Identificationarxiv pre-print, 2024
URL:2412.01657
Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst and Andreas Dengel
Generative Language Models Potential for Requirement Engineering Applications: Insights into Current Strengths and Limitationsarxiv pre-print, 2024
URL:2412.00959
Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Peter Schichtel, Andreas Dengel
RPRP-SAP: A Robust and Precise ResNet Predictor for Steering Angle Prediction of Autonomous VehiclesIEEE Access (Volume: 12), 06 February 2024
DOI:10.1109/ACCESS.2024.3362646
Summra Saleem, Muhammad Nabeel Asim, Ludger Van Elst, Andreas Dengel
FNReq-Net: A hybrid computational framework for functional and non-functional requirements classificationJournal of King Saud University - Computer and Information Sciences Volume 35, Issue 8, September 2023, 101665 DOI:10.1016/j.jksuci.2023.101665