Software defect
Enhanced Cost Sensitive Boosting Network for Software Defect Prediction
... Here a novel architecture for software defect prediction is proposed. This architecture involves evaluation and prediction. In the evaluation stage, three filter type feature selection methods are evaluated ...
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Software defect prediction using enhanced relevance vector machine
... years. Software defect prediction is one of the thrust research area and data mining techniques are applied to identify the defects that are present in the ...for software defect ...Promise ...
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Optimized Support Vector Machine for Software Defect Prediction
... prevents software from behaving as intended is a software ...quality software product with zero defects. High-risk components in a software project must be caught early to enhance ...
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A Framework for Software Defect Prediction Using Neural Networks
... of software, apart from the quality consideration, the time of delivery is also an important ...the software has reached the required quality threshold or not and also highlight areas which still need ...
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A Novel Feature Subset Selection Algorithm for Software Defect Prediction
... over software defect prediction data sets. Software defect prediction domain has been chosen due to the growing importance of maintaining high reliability and high quality for any ...
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A REVIEW ON SOFTWARE DEFECT PREDICTION USING DATA MINING TECHNIQUES
... common software problems appear in a wide variety of applications and ...Some software related problems arises in software project development ...i.e. software related problems are known as ...
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AN HYBRID MULTILAYER PERCEPTRON USING GSO-GA FOR SOFTWARE DEFECT PREDICTION
... based software defects prediction model utilizing Gaussian kernel capacity acquires better performance as contrast with prior proposed methodologies of software defect ...the software item by ...
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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 ...
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Software Defect Prediction using Adaptive Neural Networks
... traditional software development techniques might face difficulties in satisfying these ...real-time software systems may need to dynamically adapt themselves based on the runtime mission-specific ...
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Comparative Analysis of Software Defect Prediction Techniques
... Software defect prediction is a method of creating machine learning classifiers to predict faulty code snippets, using historical information in computer repositories such as com- plexity of code and change ...
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Machine learning Methods for Software Defect Prediction a Revisit
... If "Less Mann" projected a unique construction in programmatic Flaw Prophecy with categorization procedures with diverse based Data-sets. These provide a decent recognition of precision with spotting these ...
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Effective Estimation of Modules’ Metrics in Software Defect Prediction
... In this paper, we introduced a highly usable software defect prediction system. The system was assessed using NASA which is a widely used benchmark dataset. In the mining part of the system, a set of ...
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SOFTWARE DEFECT PREDICTION USING REGRESSION STRATEGY
... probabilistically. Software defect estimation is one of these problems: we are not sure of the factors that affect directly the existence of faults and we expect a support from statistical methods to point ...
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RANK APPROACH TO SOFTWARE DEFECT PREDICTION
... code. Software defect prediction will also facilitate to assign testing resources expeditiously through ranking software system modules in keeping with their ...present software system ...
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A Novel Approach for Software Defect Prediction Using Learning Algorithms
... In our study, we tried to solve the problem of software defect prediction (classification) in different data mining algorithms. Proposed algorithm give predictive flaws the best overall performance and ...
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Software Defect Association Mining and Defect Correction Effort Prediction
... current software defect prediction work focuses on the number of defects remaining in a software ...predict defect associations and defect correction ...detect software defects ...
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Software Defect Prediction Using Enhanced Machine Learning Technique
... ABSTRACT: Software defect prediction plays an important role in maintaining high quality software and reducing the cost of software ...to defect-prone modules through early ...
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A Survey of Software Defect Prediction Using Data Mining Tool
... common defect prediction methods utilized in the previous literatures and the way to judge defect prediction ...different defect prediction techniques based upon metrics, models, and ...cross-project ...
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A Review on Software Defect Prediction
... of defect associations and defect correction effort based on association rule mining ...both defect association prediction and defect correction effort ...the software defect ...
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A Framework for Software Defect Management Process in Software Quality Assurance
... the software are source cause of system failure and customer ...45 software projects have been used to train the neural network and 15 software projects are used to test the resultant ...the ...
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