Tackling the Imbalanced Data in Software Maintainability Prediction Using Ensembles for Class Imbalance Problem

Ruchika Malhotra; Kusum Lata

doi:10.1007/978-981-16-0037-1_31

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Tackling the Imbalanced Data in Software Maintainability Prediction Using Ensembles for Class Imbalance Problem

Ruchika Malhotra Kusum Lata

Year: 2021 Asset analytics Pages: 391-399 Publisher: Springer Nature

DOI: 10.1007/978-981-16-0037-1_31

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Keywords:

Maintainability Class (philosophy) Computer science Software Machine learning Artificial intelligence Data mining Software engineering Programming language

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Software Engineering Research

Physical Sciences → Computer Science → Information Systems

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Tackling the Imbalanced Data in Software Maintainability Prediction Using Ensembles for Class Imbalance Problem

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