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Leandro Minku's Projects

continualperformancevaliditytse2022 icon continualperformancevaliditytse2022

This repository contains the codes and temporary results used for the analyses for the paper: Liyan Song and Leandro Minku. "A Procedure to Continuously Evaluate Predictive Performance of Just-In-Time Software Defect Prediction Models During Software Development", IEEE Transactions on Software Engineering, 2022

datasets icon datasets

Software Engineering Analytics research at University of Wollongong (SEA@UOW)

icse20 icon icse20

Main repo for ICSE'20 artifacts track

imbalanced-stream-generator icon imbalanced-stream-generator

MOA compatible imbalanced data stream generator, as described in "The impact of data difficulty factors on classification of imbalanced and concept drifting data streams".

melanie icon melanie

Melanie is an online ensemble method which can transfer knowledge between multiple data streaming sources in non-stationary environments.

oates icon oates

OATES code used in the PROMISE 2021 paper "Multi-Stream Online Transfer Learning For Software Effort Estimation -- Is It Necessary?" by Leandro Minku.

smoclust icon smoclust

The implementation of Synthetic Minority Oversampling based on stream Clustering (SMOClust)

softwareprojectscheduling icon softwareprojectscheduling

Code used for the paper MINKU, L. L.; SUDHOLT, D.; YAO, X. . "Improved Evolutionary Algorithm Design for the Project Scheduling Problem Based on Runtime Analysis", IEEE Transactions on Software Engineering, IEEE, v. 40, n. 1, p. 83-102, January 2014.

uob-oob-multiclass icon uob-oob-multiclass

The multi-class version of Oversampling and Undersampling Online Bagging for class imbalanced data stream learning. It can be applied both to multi-class and binary classification problems.

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