The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Software Engineering"
DOI: 10.1109/tse.2020.3021736
Abstract: Refactoring is the process of changing the internal structure of software to improve its quality without modifying its external behavior. Empirical studies have repeatedly shown that refactoring has a positive impact on the understandability and… read more here.
Keywords: machine; algorithms predicting; software; predicting software ... See more keywords
The State of the Art of Data Mining Algorithms for Predicting the COVID-19 Pandemic
Sign Up to like & getrecommendations! Published in 2022 at "Axioms"
DOI: 10.3390/axioms11050242
Abstract: Current computer systems are accumulating huge amounts of information in several application domains. The outbreak of COVID-19 has increased rekindled interest in the use of data mining techniques for the analysis of factors that are… read more here.
Keywords: mining algorithms; algorithms predicting; art data; state art ... See more keywords
A Comparison of Machine Learning Algorithms in Predicting Lithofacies: Case Studies from Norway and Kazakhstan
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14071896
Abstract: Defining distinctive areas of the physical properties of rocks plays an important role in reservoir evaluation and hydrocarbon production as core data are challenging to obtain from all wells. In this work, we study the… read more here.
Keywords: comparison machine; algorithms predicting; machine learning; learning algorithms ... See more keywords