Search Results - "Gao, Kehan"

Choosing software metrics for defect prediction: an investigation on feature selection techniques by Gao, Kehan, Khoshgoftaar, Taghi M., Wang, Huanjing, Seliya, Naeem

“…The selection of software metrics for building software quality prediction models is a search‐based software engineering problem. An exhaustive search for such…”
Get full text

A Comprehensive Empirical Study of Count Models for Software Fault Prediction by Kehan Gao, Khoshgoftaar, T.M.

“…Count models, such as the Poisson regression model, and the negative binomial regression model, can be used to obtain software fault predictions. With the aid…”
Get full text

A comparative study of iterative and non-iterative feature selection techniques for software defect prediction by Khoshgoftaar, Taghi M., Gao, Kehan, Napolitano, Amri, Wald, Randall

“…Two important problems which can affect the performance of classification models are high-dimensionality (an overabundance of independent features in the…”
Get full text

Count Models for Software Quality Estimation by Khoshgoftaar, T.M., Kehan Gao

“…Identifying which software modules, during the software development process, are likely to be faulty is an effective technique for improving software quality…”
Get full text

Inductive monitoring system based fault detection for liquid-propellant rocket engines by Kehan, Gao, Zihao, Xiong, Ke, Yi, Xiwang, Dong, Peng, Yang, Qmgdong, Li, Zhang, Ren

“…The ability of in-time, real-time and reliable fault detection is essential for liquid-propellant rocket engine to monitor its working status. Inductive…”
Get full text

Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks by Kehan Gao, Haibin Duan, Yan Xu, Yang Zhang, Zhuoshu Li

“…Artificial Bee Colony (ABC) algorithm is a kind of newly developed bio-inspired intelligence. In this paper, we conduct a investigation on bees' behaviors when…”
Get full text

Attribute Selection and Imbalanced Data: Problems in Software Defect Prediction by Khoshgoftaar, T M, Kehan Gao, Seliya, N

“…The data mining and machine learning community is often faced with two key problems: working with imbalanced data and selecting the best features for machine…”
Get full text

Qili Qiangxin capsule attenuates myocardial fibrosis by modulating collagen homeostasis post-infarction in rats by Sun, Minyan, Liu, Chunhua, Gao, Kehan, Xu, Xingming, Chen, Kunhan, Qiu, Liang, Wang, Xiaomin

“…Myocardial fibrosis (MF) is a major cause of morbidity and mortality worldwide. Qili Qiangxin capsule (QLQX) is a traditional Chinese medicine (TCM) formula…”
Get full text

Software quality assessment using a multi-strategy classifier by Khoshgoftaar, Taghi M., Xiao, Yudong, Gao, Kehan

“…Classifying program modules as fault-prone or not fault-prone is a valuable technique for guiding the software development process, so that resources can be…”
Get full text

System regression test planning with a fuzzy expert system by Xu, Zhiwei, Gao, Kehan, Khoshgoftaar, Taghi M., Seliya, Naeem

“…An effective system testing activity for consecutive releases of very large software systems depends considerably on the selection of test cases for execution…”
Get full text

Feature Selection with Imbalanced Data for Software Defect Prediction by Khoshgoftaar, T.M., Kehan Gao

“…In this paper, we study the learning impact of data sampling followed by attribute selection on the classification models built with binary class imbalanced…”
Get full text

Improving software quality estimation by combining feature selection strategies with sampled ensemble learning by Khoshgoftaar, Taghi M., Kehan Gao, Napolitano, Armi

“…The efficiency (prediction accuracy) of a classification model is affected by the quality of training data. High dimensionality and class imbalance are two…”
Get full text

Improving Software Quality Estimation by Combining Boosting and Feature Selection by Kehan Gao, Khoshgoftaar, Taghi, Napolitano, Amri

“…The predictive accuracy of a classification modelis often affected by the quality of training data. However, there are two problems which may affect the…”
Get full text

A comparative study of filter-based feature ranking techniques by Huanjing Wang, Khoshgoftaar, T M, Kehan Gao

“…One factor that affects the success of machine learning is the presence of irrelevant or redundant information in the training data set. Filter-based feature…”
Get full text

An empirical investigation of filter attribute selection techniques for software quality classification by Kehan Gao, Khoshgoftaar, T.M., Huanjing Wang

“…Attribute selection is an important activity in data preprocessing for software quality modeling and other data mining problems. The software quality models…”
Get full text

A Hybrid Approach to Coping with High Dimensionality and Class Imbalance for Software Defect Prediction by Kehan Gao, Khoshgoftaar, T. M., Napolitano, A.

“…High dimensionality and class imbalance are the two main problems affecting many software defect prediction. In this paper, we propose a new technique, named…”
Get full text

Observer-based attitude control for hypersonic gliding vehicle by Kehan Gao, Qingdong Li, Zhang Ren, Chen Bai

“…The paper focuses on the problem of attitude control for hypersonic gliding vehicle (HGV) with unknown parameters. For near-space hypersonic gliding vehicle,…”
Get full text

Impact of Data Sampling on Stability of Feature Selection for Software Measurement Data by Kehan Gao, Khoshgoftaar, T. M., Napolitano, A.

“…Software defect prediction can be considered a binary classification problem. Generally, practitioners utilize historical software data, including metric and…”
Get full text

Exploring an iterative feature selection technique for highly imbalanced data sets by Khoshgoftaar, T. M., Kehan Gao, Napolitano, A.

“…The quality of a classification model is affected by two factors in a training data set: (1) the presence of excessive features and (2) the presence of…”
Get full text

A novel fuzzy classification to enhance software regression testing by Zhiwei Xu, Yi Liu, Kehan Gao

“…An effective system regression testing for consecutive releases of very large software systems, such as modern telecommunications systems, depends considerably…”
Get full text