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Software fault prediction using particle swarm algorithm with genetic algorithm and support vector machine classifier
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Evolutionary TBL template generation
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Software fault prediction using neuro-fuzzy network and evolutionary learning approach
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Application of a particle swarm optimization algorithm for determining optimum well location and type
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The Whale Optimization Algorithm
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A new fuzzy adaptive hybrid particle swarm optimization algorithm for non-linear, non-smooth and non-convex economic dispatch problem
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A novel particle swarm optimization algorithm with adaptive inertia weight
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A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design
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On the application of genetic programming for software engineering predictive modeling: A systematic review
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A comparison of some soft computing methods for software fault prediction
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Towards an ensemble based system for predicting the number of software faults
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Empirical evaluation of the effects of mixed project data on learning defect predictors
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Predicting Number of Faults in Software System using Genetic Programming
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The particle swarm optimization algorithm: convergence analysis and parameter selection
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The misuse of the NASA Metrics Data Program data sets for automated software defect prediction
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Improved Genetic Algorithm to Reduce Mutation Testing Cost
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Automatically learning semantic features for defect prediction
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Empirical evaluation of conditional operators in GP based fault localization
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Performance enhancement for crystallization unit of a sugar plant using genetic algorithm technique
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Combining Particle Swarm Optimization based Feature Selection and Bagging Technique for Software Defect Prediction
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Synergies and conflicts among software quality attributes and bug fixes
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A New Method to Predict the Software Fault Using Improved Genetic Algorithm
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Improving Credibility of Machine Learner Models in Software Engineering
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A Particle Swarm Optimization Algorithm
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Optimization of Function by using a New MATLAB based Genetic Algorithm Procedure
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Review of Genetic Algorithm and Application in Software Testing
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Genetic Algorithm Based Approach for Finding Faulty Modules in Open Source Software Systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bug numbers matter: An empirical study of effort‐aware defect prediction using class labels versus bug numbers
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