Synopsis
In this research book found the Methods for detecting decision patterns on software metrics for single and associated multiple projects while implantation of SDLC Phases for reinforced taking optimal way for decision making which helps a lot for client in terms of business process improvement.In our first model, a preprocessed based hybrid Bayesian network was implemented to handle large number of metrics for multi-defect decision patterns and other a new ensemble defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns and also establishing a new privacy preserving based defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns.
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About the Author
Dr.M.Nageswara Rao is Distinguished Professor, Inventor, Author and Business leader Born in India. He Received his M.Tech(CSE) & PhD(Computer Science & Technology) from ANU University and SKU University. Dr.M. Nageswara Rao early worked in IT industry with Product and Services related to Software, with few MNC’s LIKE IBM,EDS.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this research book found the Methods for detecting decision patterns on software metrics for single and associated multiple projects while implantation of SDLC Phases for reinforced taking optimal way for decision making which helps a lot for client in terms of business process improvement.In our first model, a preprocessed based hybrid Bayesian network was implemented to handle large number of metrics for multi-defect decision patterns and other a new ensemble defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns and also establishing a new privacy preserving based defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns. 200 pp. Englisch. Seller Inventory # 9783330049550
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this research book found the Methods for detecting decision patterns on software metrics for single and associated multiple projects while implantation of SDLC Phases for reinforced taking optimal way for decision making which helps a lot for client in terms of business process improvement.In our first model, a preprocessed based hybrid Bayesian network was implemented to handle large number of metrics for multi-defect decision patterns and other a new ensemble defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns and also establishing a new privacy preserving based defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 200 pp. Englisch. Seller Inventory # 9783330049550
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this research book found the Methods for detecting decision patterns on software metrics for single and associated multiple projects while implantation of SDLC Phases for reinforced taking optimal way for decision making which helps a lot for client in terms of business process improvement.In our first model, a preprocessed based hybrid Bayesian network was implemented to handle large number of metrics for multi-defect decision patterns and other a new ensemble defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns and also establishing a new privacy preserving based defect prediction classification model was implemented on multiple associated products to predict metric relationship, along with defects patterns. Seller Inventory # 9783330049550
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