In the recent decades, researchers have introduced an abundance of feature selection methods many of which are studied and analyzed over the high dimensional datasets …
Software has to be updated frequently to match the customer needs. If software maintainability is not given priority, it affects the software development life cycle and …
During maintenance, software systems undergo continuous correction and enhancement activities due to emerging faults, changing environments, and evolving requirements …
G Yenduri, TR Gadekallu - International Journal of Uncertainty …, 2021 - World Scientific
In a broad spectrum, software metrics play a vital role in attribute assessment, which successively moves software projects. The metrics measure gives many crucial facets of the …
Maintaining software once implemented on the end-user side is laborious and, over its lifetime, is most often considerably more expensive than the initial software development …
Featured Application The paper shows that the additional layers of historical changes of software metrics from previous software releases contributes to a better prediction of future …
Background: Software product maintainability prediction (SPMP) is an important task to control software maintenance activity, and many SPMP techniques for improving software …
H Alsolai, M Roper - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Background: Feature selection techniques are important factors for improving machine learning models because they increase prediction accuracy and decrease the time to create …
W Ren - Proceedings of the 2nd International Workshop on …, 2023 - dl.acm.org
The challenge of effectively developing and sustaining high-performance professional development practices in software engineering education is one that must be addressed …