software defect prediction models
Software defect prediction based on association rule classification.
... classification models can be estimated which estimate the probability a software module contains ...build software defect prediction models: logistic regression, rule/tree-based ...
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Some Approaches for Software Defect Prediction
... Different software projects do not usually have enough time and people available to eliminate all the faults before the release of a given product and the overall quality of the product and possibly the reputation ...
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Open Issues in Software Defect Prediction
... a prediction model, the importance of each measure can be found out and depending on their importance, a new measure can be proposed by weighted combination of all the ...project defect prediction, ...
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A Feature Selection Based Model for Software Defect Prediction
... NASA software defect datasets to predict defect-prone software modules and also analyzed its performance with other existing machine leaning approaches ...fault prediction using SVM and ...
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Automatically Identifying Code Features for Software Defect Prediction: Using AST N-grams
... produce models based on the combined probabilities of a dependent variable being associated with the different indepen- dent ...final prediction for each test vector ...the models using a Java ...
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Software Vulnerability Prediction Models Based on Complex Network
... As shown in Table 1, there are three constructional types of features to measure vulnerabilities from the 1960s to the present. First, it is the constructional feature to measure software, such as the number of ...
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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 ...SDP ...
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SOFTWARE DEFECT PREDICTION USING REGRESSION STRATEGY
... for software fault prediction in the past, despite the many benefits that it ...of defect prediction, estimation of a particular number, estimation of fault class with suitable suggestion for ...
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Vol 11, No 1 (2019)
... In software testing, automatic detection of faults and defects in software is both complex and ...for software defect prediction and evaluate their performance on several benchmark ...
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CLASSIFYING FEATURE DESCRIPTION FOR SOFTWARE DEFECT PREDICTION
... some software metrics and fault-proneness ...feature, software defect prediction is usually viewed as a binary classification task , which classifies software modules into fault-prone ...
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Software Defect Prediction using Adaptive Neural Networks
... accurate models could be derived to predict in which classes most of the faults actually ...affects software defect prediction, resulting in inconsistencies among learning ...probabilistic ...
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Reproducibility and replicability of software defect prediction studies
... form defect data used as input for building prediction models (Org[1, 2, ...provided defect datasets calculated from the raw source code of critical systems ...the defect data which was ...
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Software defect prediction using enhanced relevance vector machine
... by software industry. Reliance of people on software is propounding too many which results in necessity of quality ...the software is perceived by uncovering the defects in ...the software ...
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A Survey of Software Defect Prediction Using Data Mining Tool
... the software being ...the software development life ...is software testing, a great deal of modules is worked over existing models and have slightest odds of creating bugs, be that as it may, ...
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Comparative Analysis of Software Defect Prediction Techniques
... the prediction of defects on projects with minimal historical ...in prediction is very effective when the data related is not existing and analysis is performed by using the data of external ...recognizes ...
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A Hybrid Associative Classification Model for Software Development Effort Estimation
... the software professionals; hence most of the re- search in the last decade has been focused on the expert estimation ...based software effort estimation, and Manifest on expert judgement and formal ...in ...
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Software Defect Association Mining and Defect Correction Effort Prediction
... Association rule mining searches for interesting relation- ships, e.g., frequent patterns, associations, correlations, or potential causal structures, among sets of objects in databases or other information repositories. ...
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Software Defect Prediction Tool based on Neural Network
... In a wide range of supervised and unsupervised learning problems, neural network learning algorithms have been successfully applied. Researchers used two classes of approaches for data mining with neural networks. The ...
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Software Defect Prediction Based on Classifiers Ensemble
... better defect predictors. It seemed that software metrics-based defect prediction reached its performance ...better defect predictors can be trained from the defect dense ...
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Automatically Identifying Code Features for Software Defect Prediction:Using AST N grams
... traditional defect prediction models seems to have reached a performance ceiling ...promising defect prediction models based on a subset of AST nodes using neural ...good ...
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