Review on Software Defect Prediction on Promise Dataset using Machine Learning Approaches |
Author(s): |
| Asheesh Raju , Alakh Prakash Goyal Shimla University ; Mr. Anuj Gupta, Alakh Prakash Goyal Shimla University |
Keywords: |
| Artificial Neural Network, Classification and Regression Tree Algorithm, Case-Based Reasoning, Correlation Coefficient, Constructive Cost Model |
Abstract |
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Machine Learning approaches are helpful & have well-tried to be helpful in resolution issues & technical problems that lack data. In most cases, the package domain issues may be characterized as a method of learning that depends on the assorted circumstances and changes of the technical issue being addressed in keeping with the principles of machine learning, a prophetic model is made by exploitation machine learning approaches and classified into defective and non-defective modules. Machine learning techniques facilitate developers to retrieve helpful data when the classification of kinds of technical problems being addressed in an exceedingly specific field. This successively permits them to analyze knowledge from totally different views, which may be used because of the formation base of constructive concepts & varied techniques to handle the technical problems. |
Other Details |
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Paper ID: IJSRDV8I60073 Published in: Volume : 8, Issue : 6 Publication Date: 01/09/2020 Page(s): 138-144 |
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