Genetic feature selection for software defect prediction

RS Wahono, NS Herman - Advanced Science Letters, 2014 - ingentaconnect.com
Recently, software defect prediction is an important research topic in the software
engineering field. The accurate prediction of defect prone software modules can help the …

A review on machine learning techniques for software defect prediction

F Hassan, S Farhan, MA Fahiem, H Tauseef - Technical Journal, 2018 - tj.uettaxila.edu.pk
Software defect prediction has been an interest of research era because predicting defects
on early stages improves software quality with reduced cost and effective software …

A three-stage based ensemble learning for improved software fault prediction: an empirical comparative study

CW Yohannese, T Li, K Bashir - International Journal of Computational …, 2018 - Springer
Abstract Software Fault Prediction (SFP) research has made enormous endeavor to
accurately predict fault proneness of software modules, thus maximize precious software test …

[PDF][PDF] Improved random forest algorithm for software defect prediction through data mining techniques

SG Jacob - International Journal of Computer Applications, 2015 - Citeseer
Software defect prediction using classification algorithms was advocated by many
researchers. Moreover the classifier ensemble can effectively improve classification …

[PDF][PDF] A Classification Framework for Software Defect Prediction Using Multi-filter Feature Selection Technique and MLP.

A Iqbal, S Aftab - International Journal of Modern Education & …, 2020 - researchgate.net
Production of high quality software at lower cost can be possible by detecting defect prone
software modules before the testing process. With this approach, less time and resources …

Software Defect Prediction Analysis Using Machine Learning Techniques

A Khalid, G Badshah, N Ayub, M Shiraz, M Ghouse - Sustainability, 2023 - mdpi.com
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …

[PDF][PDF] A systematic literature review of software defect prediction

RS Wahono - Journal of software engineering, 2015 - romisatriawahono.net
Recent studies of software defect prediction typically produce datasets, methods and
frameworks which allow software engineers to focus on development activities in terms of …

Software defect prediction through neural network and feature selections

MS Alkhasawneh - Applied Computational Intelligence and Soft …, 2022 - Wiley Online Library
Software failure such as software defect causes billion of dollar loss every year. Software
failure also affects billion of people worldwide. Inadequate software testing can cause …

A Novel Approach to Improve Software Defect Prediction Accuracy Using Machine Learning

I Mehmood, S Shahid, H Hussain, I Khan… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

[引用][C] Software defect prediction based on classifiers ensemble

T Wang, W Li, H Shi, Z Liu - Journal of Information & Computational Science, 2011