On the public citation graph
Dynamic selection of fitness function for software change prediction using Particle Swarm Optimization
0 signed · 89 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1549openalex-snapshot
A suite of metrics for quantifying historical changes to predict future change‐prone classes in object‐oriented software
inferredcites →https://doi.org/10.1007/978-3-319-09940-8_19openalex-snapshot
Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases
inferredcites →https://doi.org/10.1007/978-3-540-24580-3_12openalex-snapshot
A Particle Swarm Data Miner
inferredcites →https://doi.org/10.1007/978-3-642-21843-9_20openalex-snapshot
A Genetic Algorithm to Configure Support Vector Machines for Predicting Fault-Prone Components
inferredcites →https://doi.org/10.1007/s10515-016-0203-0openalex-snapshot
An exploratory study for software change prediction in object-oriented systems using hybridized techniques
inferredcites →https://doi.org/10.1007/s10664-011-9170-zopenalex-snapshot
The ability of object-oriented metrics to predict change-proneness: a meta-analysis
inferredcites →https://doi.org/10.1007/s10664-013-9241-4openalex-snapshot
A flexible method to estimate the software development effort based on the classification of projects and localization of comparisons
inferredcites →https://doi.org/10.1007/s10664-013-9249-9openalex-snapshot
Parameter tuning or default values? An empirical investigation in search-based software engineering
inferredcites →https://doi.org/10.1007/s10664-016-9488-7openalex-snapshot
An empirical study for software change prediction using imbalanced data
inferredcites →https://doi.org/10.1007/s11219-010-9128-1openalex-snapshot
An industrial case study of classifier ensembles for locating software defects
inferredcites →https://doi.org/10.1007/s11334-015-0258-2openalex-snapshot
A hybrid one-class rule learning approach based on swarm intelligence for software fault prediction
inferredcites →https://doi.org/10.1007/s13042-012-0095-7openalex-snapshot
Investigation of relationship between object-oriented metrics and change proneness
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.asoc.2014.11.023openalex-snapshot
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.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.infsof.2018.05.007openalex-snapshot
Particle swarm optimization-based ensemble learning for software change 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.2007.07.040openalex-snapshot
Predicting defect-prone software modules using support vector machines
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.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
inferredcites →https://doi.org/10.1016/s0164-1212(99)00102-8openalex-snapshot
Exploring the relationships between design measures and software quality in object-oriented systems
inferredcites →https://doi.org/10.1023/a:1009783721306openalex-snapshot
A Unified Framework for Cohesion Measurement in Object-Oriented Systems
inferredcites →https://doi.org/10.1080/00273171.2012.738184openalex-snapshot
Generalizations and Extensions of the Probability of Superiority Effect Size Estimator
inferredcites →https://doi.org/10.1080/01621459.1937.10503522openalex-snapshot
The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/32.748920openalex-snapshot
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/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/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/icmla.2014.73openalex-snapshot
A Better Case Adaptation Method for Case-Based Effort Estimation Using Multi-objective Optimization
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.2012.177openalex-snapshot
A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites
inferredcites →https://doi.org/10.1109/icst.2013.38openalex-snapshot
Multi-objective Cross-Project Defect Prediction
inferredcites →https://doi.org/10.1109/ieeeconf11002.2005openalex-snapshot
2005 portuguese conference on artificial intelligence
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/sai35119.2015openalex-snapshot
2015 Science and Information Conference (SAI)
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/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/tse.2010.51openalex-snapshot
Evolutionary Optimization of Software Quality Modeling with Multiple Repositories
inferredcites →https://doi.org/10.1109/tse.2016.2543218openalex-snapshot
HYDRA: Massively Compositional Model for Cross-Project Defect Prediction
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/10.1145/2245276.2231967openalex-snapshot
A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction
inferredcites →https://doi.org/10.1145/2961111openalex-snapshot
Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement
inferredcites →https://doi.org/10.1145/2961111.2962610openalex-snapshot
Building an Ensemble for Software Defect Prediction Based on Diversity Selection
inferredcites →https://doi.org/10.1162/evco_a_00213openalex-snapshot
Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models
inferredcites →https://doi.org/10.1214/aos/1016218223openalex-snapshot
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
inferredcites →https://doi.org/10.1504/ijbic.2010.037016openalex-snapshot
Evaluating software cost estimation models using particle swarm optimisation and fuzzy logic for NASA projects: a comparative study
inferredcites →https://doi.org/10.2307/1165329openalex-snapshot
A Critique and Improvement of the "CL" Common Language Effect Size Statistics of McGraw and Wong
inferredcites →https://doi.org/10.3102/10769986025002101openalex-snapshot
A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and Wong
inferredcites →https://doi.org/10.4018/978-1-61520-666-7.ch002openalex-snapshot
Particle Swarm Optimization
inferredcites →https://doi.org/10.5772/6740openalex-snapshot
Particle Swarm Optimization for HW/SW Partitioning
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/smr.2272openalex-snapshot
A critical review on blockchain assessment initiatives: A technology evolution viewpoint
inferred← citeshttps://doi.org/10.1002/smr.2445openalex-snapshot
Simplified abstract syntax tree based semantic features learning for software change prediction
inferred← citeshttps://doi.org/10.1002/smr.2660openalex-snapshot
An assessment of heterogenous ensemble classifiers for analyzing change‐proneness in open‐source software systems
inferred← citeshttps://doi.org/10.1007/978-981-16-2248-9_13openalex-snapshot
A Comparison of the Best Fitness Functions for Software Defect Prediction in Object-Oriented Applications Using Particle Swarm Optimization
inferred← citeshttps://doi.org/10.1007/s00521-021-06050-2openalex-snapshot
A new modified grey wolf optimization algorithm proposal for a fundamental engineering problem in robotics
inferred← citeshttps://doi.org/10.1007/s10489-021-02346-xopenalex-snapshot
Software fault prediction based on the dynamic selection of learning technique: findings from the eclipse project study
inferred← citeshttps://doi.org/10.1007/s13369-021-06042-3openalex-snapshot
A Novel Approach Based on Average Swarm Intelligence to Improve the Whale Optimization Algorithm
inferred← citeshttps://doi.org/10.1016/j.cam.2023.115225openalex-snapshot
A new deterministic PSO algorithm for real-time systems implemented on low-power devices
inferred← citeshttps://doi.org/10.1016/j.jocs.2024.102230openalex-snapshot
Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction
inferred← citeshttps://doi.org/10.1109/access.2020.2975113openalex-snapshot
Engine Working State Recognition Based on Optimized Variational Mode Decomposition and Expectation Maximization Algorithm
inferred← citeshttps://doi.org/10.1109/compsac61105.2024.00162openalex-snapshot
Predicting Change-Proneness with a Deep Learning Model: Incorporating Structural Dependencies
inferred← citeshttps://doi.org/10.1145/3503509openalex-snapshot
Predictive Models in Software Engineering: Challenges and Opportunities
inferred← citeshttps://doi.org/10.1155/2021/6680629openalex-snapshot
Athleteʼs Physical Fitness Prediction Model Algorithm and Index Optimization Analysis under the Environment of AI
inferred← citeshttps://doi.org/10.20532/cit.2020.1005179openalex-snapshot
A Nonlinear System Identification Method Based on Adaptive Neural Network
inferred← citeshttps://doi.org/10.23919/mixdes49814.2020.9155802openalex-snapshot
Modified Particle Swarm Optimization Algorithm Facilitating Its Hardware Implementation
inferred← citeshttps://doi.org/10.3390/app12168251openalex-snapshot
Predicting the Risk of Overweight and Obesity in Madrid—A Binary Classification Approach with Evolutionary Feature Selection
inferred← citeshttps://doi.org/10.3390/s21248449openalex-snapshot
A Novel, Low Computational Complexity, Parallel Swarm Algorithm for Application in Low-Energy Devices
inferred← citeshttps://doi.org/10.4018/ijossp.2021040103openalex-snapshot
Quantitative Software Change Prediction in Open Source Web Projects Using Time Series Forecasting
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.