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Particle swarm optimization-based ensemble learning for software change prediction
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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A suite of metrics for quantifying historical changes to predict future change‐prone classes in object‐oriented software
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Ensemble Methods in Machine Learning
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Particle Swarm Optimization
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Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases
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A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components
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Empirical Software Engineering and Verification
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Search Based Software Engineering: Techniques, Taxonomy, Tutorial
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An investigation on the feasibility of cross-project defect prediction
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Sample-based software defect prediction with active and semi-supervised learning
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An exploratory study for software change prediction in object-oriented systems using hybridized techniques
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The ability of object-oriented metrics to predict change-proneness: a meta-analysis
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A flexible method to estimate the software development effort based on the classification of projects and localization of comparisons
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Automated bug assignment: Ensemble-based machine learning in large scale industrial contexts
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An empirical study for software change prediction using imbalanced data
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An industrial case study of classifier ensembles for locating software defects
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Software defect prediction: do different classifiers find the same defects?
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A hybrid one-class rule learning approach based on swarm intelligence for software fault prediction
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Investigation of relationship between object-oriented metrics and change proneness
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Data Mining: Practical Machine Learning Tools and Techniques
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A systematic review of machine learning techniques for software fault prediction
inferredcites →https://doi.org/10.1016/j.asoc.2015.07.006openalex-snapshot
Prediction approach of software fault-proneness based on hybrid artificial neural network and quantum particle swarm optimization
inferredcites →https://doi.org/10.1016/j.asoc.2016.04.009openalex-snapshot
Effective multi-objective naïve Bayes learning for cross-project defect prediction
inferredcites →https://doi.org/10.1016/j.cl.2016.10.001openalex-snapshot
Empirical analysis of search based algorithms to identify change prone classes of open source software
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.014openalex-snapshot
Towards an ensemble based system for predicting the number of software faults
inferredcites →https://doi.org/10.1016/j.infsof.2010.11.013openalex-snapshot
An ant colony optimization algorithm to improve software quality prediction models: Case of class stability
inferredcites →https://doi.org/10.1016/j.infsof.2014.07.005openalex-snapshot
Software defect prediction using ensemble learning on selected features
inferredcites →https://doi.org/10.1016/j.infsof.2017.06.004openalex-snapshot
A benchmark study on the effectiveness of search-based data selection and feature selection for cross project defect prediction
inferredcites →https://doi.org/10.1016/j.jss.2006.05.017openalex-snapshot
Identifying and characterizing change-prone classes in two large-scale open-source products
inferredcites →https://doi.org/10.1016/j.jss.2009.06.055openalex-snapshot
A systematic and comprehensive investigation of methods to build and evaluate fault prediction models
inferredcites →https://doi.org/10.1016/j.jss.2009.12.023openalex-snapshot
A symbolic fault-prediction model based on multiobjective particle swarm optimization
inferredcites →https://doi.org/10.1016/j.jss.2017.06.059openalex-snapshot
A PSO-GA approach targeting fault-prone software modules
inferredcites →https://doi.org/10.1016/j.parco.2003.12.015openalex-snapshot
Particle Swarm based Data Mining Algorithms for classification tasks
inferredcites →https://doi.org/10.1016/j.swevo.2016.10.002openalex-snapshot
On the application of search-based techniques for software engineering predictive modeling: A systematic review and future directions
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A Unified Framework for Cohesion Measurement in Object-Oriented Systems
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Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
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A unified framework for coupling measurement in object-oriented systems
inferredcites →https://doi.org/10.1109/4235.985692openalex-snapshot
The particle swarm - explosion, stability, and convergence in a multidimensional complex space
inferredcites →https://doi.org/10.1109/ccdc.2013.6561670openalex-snapshot
A new model for software defect prediction using Particle Swarm Optimization and support vector machine
inferredcites →https://doi.org/10.1109/cidm.2009.4938648openalex-snapshot
An empirical study of bagging and boosting ensembles for identifying faulty classes in object-oriented software
inferredcites →https://doi.org/10.1109/compsac.2015.58openalex-snapshot
An Empirical Study of Classifier Combination for Cross-Project Defect Prediction
inferredcites →https://doi.org/10.1109/csmr-wcre.2014.6747166openalex-snapshot
Cross-project defect prediction models: L'Union fait la force
inferredcites →https://doi.org/10.1109/icdmic.2014.6954234openalex-snapshot
Defect Collection and Reporting System for Git based Open Source Software
inferredcites →https://doi.org/10.1109/icec.1998.699326openalex-snapshot
Matching algorithms to problems: an experimental test of the particle swarm and some genetic algorithms on the multimodal problem generator
inferredcites →https://doi.org/10.1109/icsm.2004.1357771openalex-snapshot
Proceedings 20th IEEE International COnference on Software Maintenance
inferredcites →https://doi.org/10.1109/icsm.2011.6080797openalex-snapshot
Using source code metrics to predict change-prone Java interfaces
inferredcites →https://doi.org/10.1109/icst.2013.38openalex-snapshot
Multi-objective Cross-Project Defect Prediction
inferredcites →https://doi.org/10.1109/icstw.2011.43openalex-snapshot
An Empirical Study on Object-Oriented Metrics and Software Evolution in Order to Reduce Testing Costs by Predicting Change-Prone Classes
inferredcites →https://doi.org/10.1109/metric.2004.1357878openalex-snapshot
Proceedings 10th International Symposium on Software Metrics
inferredcites →https://doi.org/10.1109/metrics.2004.30openalex-snapshot
Metrics are fitness functions too
inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1109/sai.2015.7237187openalex-snapshot
Selection of fitness function in genetic programming for binary classification
inferredcites →https://doi.org/10.1109/sceecs.2016.7509314openalex-snapshot
An empirical investigation of evolutionary algorithm for software maintainability prediction
inferredcites →https://doi.org/10.1109/ssbse.2010.20openalex-snapshot
Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions
inferredcites →https://doi.org/10.1109/tetci.2017.2699224openalex-snapshot
Dynamic Selection of Classifiers in Bug Prediction: An Adaptive Method
inferredcites →https://doi.org/10.1109/tkde.2003.1245283openalex-snapshot
Benchmarking attribute selection techniques for discrete class data mining
inferredcites →https://doi.org/10.1109/tse.2005.89openalex-snapshot
Comparing high-change modules and modules with the highest measurement values in two large-scale open-source products
inferredcites →https://doi.org/10.1109/tse.2007.256941openalex-snapshot
Data Mining Static Code Attributes to Learn Defect Predictors
inferredcites →https://doi.org/10.1109/tse.2008.35openalex-snapshot
Benchmarking Classification Models for Software Defect Prediction: A Proposed Framework and Novel Findings
inferredcites →https://doi.org/10.1109/tse.2009.32openalex-snapshot
Examining the Potentially Confounding Effect of Class Size on the Associations between Object-Oriented Metrics and Change-Proneness
inferredcites →https://doi.org/10.1109/tsmcb.2011.2167144openalex-snapshot
Developing New Fitness Functions in Genetic Programming for Classification With Unbalanced Data
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00994.xopenalex-snapshot
Cross-Validatory Choice and Assessment of Statistical Predictions
inferredcites →https://doi.org/10.1142/s1469026810002811openalex-snapshot
A GENETIC ALGORITHM FOR IMPROVING ACCURACY OF SOFTWARE QUALITY PREDICTIVE MODELS: A SEARCH-BASED SOFTWARE ENGINEERING APPROACH
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0897915046/International Conference on Software Engineering
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Validation of network measures as indicators of defective modules in software systems
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Proceedings of the 5th International Workshop on Emerging Trends in Software Metrics
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A new metric for predicting software change using gene expression programming
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Automated parameter optimization of classification techniques for defect prediction models
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Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
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Building an Ensemble for Software Defect Prediction Based on Diversity Selection
inferredcites →https://doi.org/10.1145/3067695.3076007openalex-snapshot
Software change prediction using voting particle swarm optimization based ensemble classifier
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Proceedings of the Genetic and Evolutionary Computation Conference
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Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models
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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
inferredcites →https://doi.org/10.2514/6.2005-1897openalex-snapshot
A Comparison of Particle Swarm Optimization and the Genetic Algorithm
inferredcites →https://doi.org/10.5772/6740openalex-snapshot
Particle Swarm Optimization for HW/SW Partitioning
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2660openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-03072-6_10openalex-snapshot
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Machine learning based methods for software fault prediction: A survey
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inferred← citeshttps://doi.org/10.1016/j.infsof.2019.106214openalex-snapshot
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