A literature review of using machine learning in software development life cycle stages
The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …
modern-day software towards highly intelligent and self-learning systems. However, the …
Qscored: A large dataset of code smells and quality metrics
Code quality aspects such as code smells and code quality metrics are widely used in
exploratory and empirical software engineering research. In such studies, researchers …
exploratory and empirical software engineering research. In such studies, researchers …
Machine learning for software engineering: A systematic map**
S Shafiq, A Mashkoor, C Mayr-Dorn… - ar**
and distributing software. For effective adoption of OSS, fundamental knowledge of project …
and distributing software. For effective adoption of OSS, fundamental knowledge of project …