[PDF] Top 20 Software Defect Prediction Tool based on Neural Network
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Software Defect Prediction Tool based on Neural Network
... problems, neural network learning algorithms have been successfully ...trained neural networks, called rule ...trained neural networks into languages that are easier to ... See full document
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Reproducibility and replicability of software defect prediction studies
... out based on the taxonomy that we ...a defect prediction study include, tools, statistics, cross valida- tion, feature selection, parameter optimising, ... See full document
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A Survey of Software Defect Prediction Using Data Mining Tool
... finding examples in substantial data sets including strategies at the crossing point of artificial intelligence, machine learning, measurements, and database systems. The general objective of the data mining process is ... See full document
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SOFTWARE DEFECT PREDICTION USING REGRESSION STRATEGY
... Multimedia; Neural Systems/Neural Networks; Numerical Analysis/Scientific Computing; Object Oriented Programming; Operating Systems; Programming Languages; Robotics; Symbolic & Formal Logic and Web ... See full document
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A Neuro Based Software Fault Prediction with Box Cox Power Transformation
... SRGMs based on stochastic modeling, artificial neural network (ANN) has gained much popularity to deal with non-linear phenomena arising in applications to time series forecasting, pattern ... See full document
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A Novel Feature Subset Selection Algorithm for Software Defect Prediction
... in neural network learning ...for neural network classifier. Mutual information based feature selection method are useful for complex classification problems where methods based ... See full document
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SOFTWARE DEFECT PREDICTION USING DEEP BELIEF NETWORK WITH L1 REGULARIZATION BASED OPTIMIZATION
... and software structure pattern analysis. Sometimes, software datasets suffer from class imbalance problem where learning becomes a very complex ...historical defect data into a higher dimensional ... See full document
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A REVIEW ON SOFTWARE DEFECT PREDICTION USING DATA MINING TECHNIQUES
... the software system called Software Metrics and second, by using fault data from a similar software ...future software projects and hence practitioners can identify defects prone parts of a ... See full document
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Predicting Software Quality by Optimized BP Network Based on PSO
... artificial neural network is applied in software quality prediction model in 1992, which get good ...applied neural network in software quality prediction model, ... See full document
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... artificial neural network is widely used in solving complex nonlinear problems, the researchers also proposed some neural network prediction model based on the price of petroleum ... See full document
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Neural Network Based Rainfall Prediction
... BP neural network was used to construct a soft measurement approach to monitor the effluent COD and BOD in wastewater treatment ...sensor network. “Validation of a TRMM-based global flood ... See full document
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Software Reliability Prediction using Neural Network with Encoded Input
... many neural network based software reliability prediction models exist and their prediction capability is proven better than some statistical models ...the neural ... See full document
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Software defect prediction using enhanced relevance vector machine
... in software defect prediction [7, ...predict defect-prone ...a defect- count prediction model by taking into account of certain number of process measures along with structural ... See full document
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Software Defect Prediction using Adaptive Neural Networks
... pre-release defect density) are often available too late to affordably guide corrective actions to the quality of the ...any software development ...applying software quality assurance measures is ... See full document
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Recurrent Neural Network based Prediction of Software Effort
... In this section, the proposed method is applied to a set of software that used data mining techniques, the affected parameters are taken from this set of software. This application worked on a pack of data ... See full document
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A GENETIC ALGORITHM OPTIMIZED MULTI-LAYER PERCEPTRON FOR SOFTWARE DEFECT PREDICTION
... in software is one of the significant issues in software engineering that contributes a considerable measure toward sparing time in software generation and maintenance ...for Software ... See full document
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A Framework for Software Defect Prediction Using Neural Networks
... the software development life cycle (SDLC), early prediction of defects has always been, though highly desirable yet, a challenging task for the project ...reliable software is a daunting task in the ... See full document
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Unsupervised software defect prediction using median absolute deviation threshold based spectral classifier on signed Laplacian matrix
... selected software metrics as the partitioning ...The software entity is predicted as defective if the metric values are higher than the threshold, and ...quadtree based k-means algorithm and compare ... See full document
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Neural Network-Based Fuel Price Prediction
... varying environments will be helpful not only for investors but also for the common man to plan his budget according to his /her salary. Thus, neural networks can use used as an effective tool in predicting ... See full document
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STUDIES ON IMPROVING TEXTURE SEGMENTATION PERFORMANCE USING GENERALIZED GAUSSIAN MIXTURE MODEL INTEGRATING DCT AND LBP
... Software Defect Prediction (SDP) focuses on the detection of system modules such as files, methods, classes, components and so on which could potentially consist of a great amount of ...among ... See full document
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