Bachelor and Master Theses
To apply for conducting this thesis, please contact the thesis supervisor(s).
| Title: | Using Graph neural networks to predict software performance Regression |
| Subject: | Computer science, Software engineering |
| Level: | Advanced |
| Description: |
Graph neural network (GNN) has been introduced only recently. We have developed a ML-based software performance regression analysis tool to predict software performance changes in continuous software development environment. The idea of this thesis is to develop a similar machine learning model using GNN to predict performance regression and compare the results with the previous analysis tool. Supervisor(s): Abu Naser Masud Examiner: |
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| Prerequisites: | Knowledge on machine learning and software engineering and skills on Python, eras, tensor flow is required |
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