Prediction of defective software modules using class imbalance learning

D Tomar, S Agarwal - Applied computational intelligence and …, 2016 - Wiley Online Library
Software defect predictors are useful to maintain the high quality of software products
effectively. The early prediction of defective software modules can help the software …

An empirical study of robustness and stability of machine learning classifiers in software defect prediction

A Kaur, K Kaur - Advances in intelligent informatics, 2015 - Springer
Software is one of the key drivers of twenty first century business and society. Delivering
high quality software systems is a challenging task for software developers. Early software …

An optimized feature selection method using ensemble classifiers in software defect prediction for healthcare systems

UG Mohammad, S Imtiaz, M Shakya… - Wireless …, 2022 - Wiley Online Library
The healthcare systems are extensively being used with increased focus on safety of
patients. Software engineering for healthcare applications is an emerging research area …

[PDF][PDF] Modeling Software Defects as Anomalies: A Case Study on Promise Repository.

KN Neela, SA Ali, AS Ami, AU Gias - J. Softw., 2017 - jsoftware.us
Software defect prediction is a highly studied domain in Software Engineering research due
to its importance in software development. In literature, various classification methods with …

A novel approach for software defect prediction using CNN and GRU based on SMOTE Tomek method

NAA Khleel, K Nehéz - Journal of Intelligent Information Systems, 2023 - Springer
Software defect prediction (SDP) plays a vital role in enhancing the quality of software
projects and reducing maintenance-based risks through the ability to detect defective …

Implicit and explicit mixture of experts models for software defect prediction

A Shankar Mishra, S Singh Rathore - Software Quality Journal, 2023 - Springer
Accurately predicting defects in software modules helps the developers and testers to find
the defective modules quickly and save their efforts in other software development aspects …

Software defect prediction using supervised learning algorithm and unsupervised learning algorithm

A Chug, S Dhall - 2013 - IET
Software defect prediction has recently attracted attention of many software quality
researchers. One of the major areas in current project management software is to effectively …

[PDF][PDF] A hybrid multi-filter wrapper feature selection method for software defect predictors

BA Oluwagbemiga, B Shuib… - International Journal of …, 2019 - researchgate.net
Software Defect Prediction (SDP) is an approach used for identifying defect-prone software
modules or components. It helps software engineer to optimally, allocate limited resources to …

Software defect prediction based on SMOTE-Tomek and XGBoost

H Yang, M Li - International Conference on Bio-Inspired Computing …, 2021 - Springer
The use of machine learning techniques to predict software defects has received extensive
attention over the years. In practice, there are far fewer defective software samples than non …

Choosing software metrics for defect prediction: an investigation on feature selection techniques

K Gao, TM Khoshgoftaar, H Wang… - Software: Practice and …, 2011 - Wiley Online Library
The selection of software metrics for building software quality prediction models is a search‐
based software engineering problem. An exhaustive search for such metrics is usually not …