A novel approach to improve software defect prediction accuracy using machine learning
In software engineering community, defect prediction is one the active domain. For the
software's success, it is essential to reduce the software engineering and data-mining gap …
software's success, it is essential to reduce the software engineering and data-mining gap …
Comprehensive Survey of different Machine Learning Algorithms used for Software Defect Prediction
V Gururaj, KR Umadi, M Kumar… - … on Decision Aid …, 2022 - ieeexplore.ieee.org
The software development life cycle is a long and complicated process. It consists of
analysis, design, development, testing and deployment. Defect prediction is the technique of …
analysis, design, development, testing and deployment. Defect prediction is the technique of …
Comparative Analysis of Machine Learning Technique to Improve Software Defect Prediction: Comparative Analysis of Machine Learning Technique to Improve …
One of the most active areas of research in the software engineering community is defect
prediction. The gap between data mining and software engineering must be bridged to …
prediction. The gap between data mining and software engineering must be bridged to …
[PDF][PDF] An optimized feature selection using fuzzy mutual information based ant colony optimization for software defect prediction
G Manivasagam, R Gunasundari - Int J Eng Technol, 2018 - researchgate.net
In recent years, there is a significant notification focused towards the prediction of software
defect in the field of software engineering. The prediction of software defects assist in …
defect in the field of software engineering. The prediction of software defects assist in …
Predicting bug in a software using ANN based machine learning techniques
P Rashmi, P Kambli - 2020 IEEE International Conference for …, 2020 - ieeexplore.ieee.org
To achieve a successful software, bug prediction mainly place an important role. Nowadays,
bug prediction has become an essential argument in the maintenance and development …
bug prediction has become an essential argument in the maintenance and development …
Functional Testing on Heart Disease Detection Using Multilayer Perceptron Technique
E Naresh, MD Naik, M Niranjanamurthy… - Journal of …, 2020 - ingentaconnect.com
The proposed work shows how important and useful testing for any machine learning
application and need to make better models such that bugs and errors are minimized. The …
application and need to make better models such that bugs and errors are minimized. The …