Using bandit algorithms for selecting feature reduction techniques in software defect prediction
Background: Selecting a suitable feature reduction technique. when building a defect
prediction model, can be challenging. Different techniques can result in the selection of …
prediction model, can be challenging. Different techniques can result in the selection of …
A comparative study of feature-ranking and feature-subset selection techniques for improved fault prediction
SS Rathore, A Gupta - Proceedings of the 7th India software engineering …, 2014 - dl.acm.org
The quality of a fault prediction model depends on the software metrics that are used to build
the prediction model. Feature selection represents a process of selecting a subset of …
the prediction model. Feature selection represents a process of selecting a subset of …
Fault Proness Estimation of Software Modules Using Machine learning
To evaluate the software quality it is required to measure factors affecting the qualityof the
software. Reliability and number of faults are examples of quality factors. If these factors are …
software. Reliability and number of faults are examples of quality factors. If these factors are …
[PDF][PDF] A feature selection based ensemble classification framework for software defect prediction
Software defect prediction is one of the emerging research areas of software engineering.
The prediction of defects at early stage of development process can produce high quality …
The prediction of defects at early stage of development process can produce high quality …
Software fault prediction using filtering feature selection in cluster-based classification
The high accuracy of software fault prediction can help testing effort and improving software
quality. Previous researchers had proposed the combination of Entropy-Based …
quality. Previous researchers had proposed the combination of Entropy-Based …
Performance Analysis of Feature Selection Techniques in Software Defect Prediction using Machine Learning
Software Testing is an essential activity in the development process of a software product. A
defect-free software is the need of the hour. Identifying the defects as early as possible is …
defect-free software is the need of the hour. Identifying the defects as early as possible is …
Performance Evaluation of various ML techniques for Software Fault Prediction using NASA dataset
B Alsangari, G BİRCİK - 2023 5th International Congress on …, 2023 - ieeexplore.ieee.org
In order to improve software dependability, Software Fault Prediction (SFP) has become an
important research topic in the area of software engineering. To improve program …
important research topic in the area of software engineering. To improve program …
Towards predicting software defects with clustering techniques
W Almayyan - International Journal of Artificial Intelligence and …, 2021 - papers.ssrn.com
The purpose of software defect prediction is to improve the quality of a software project by
building a predictive model to decide whether a software module is or is not fault prone. In …
building a predictive model to decide whether a software module is or is not fault prone. In …
Comparative analysis of statistical and machine learning methods for predicting faulty modules
R Malhotra - Applied Soft Computing, 2014 - Elsevier
The demand for development of good quality software has seen rapid growth in the last few
years. This is leading to increase in the use of the machine learning methods for analyzing …
years. This is leading to increase in the use of the machine learning methods for analyzing …