PhD Defense | Automating Performance Problems Detection in Software Systems | Muhammad Imran
Автор: Muhammad Imran (Nomad Learner)
Загружено: 2025-12-12
Просмотров: 145
This video records the PhD defense of Muhammad Imran on the topic “On Automating Performance Problems Detection in Software Systems through Empirical Analysis” at the University of L’Aquila.
The thesis focuses on empirical software engineering, performance testing, performance analysis, and automation of performance problem detection.
Thesis title: On Automating Performance Problems Detection in Software Systems through Empirical Analysis
Supervisor: Prof. Vittorio Cortellessa
Co advisors: Prof. Davide Di Ruscio, Dr. Luca Traini
The research investigates how performance problems in software systems can be detected automatically using empirical analysis of performance tests, code characteristics, and machine learning techniques.
This defense is part of the PhD program at the Department of Information Engineering, Computer Science, and Mathematics, University of L’Aquila, Italy.
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