Software defect prediction: an ML approach-based comprehensive study
Software testing is a vital phase in the software development life cycle. Testing validates a
developed software against the input test cases by identifying the defects present in the …
developed software against the input test cases by identifying the defects present in the …
Machine learning empowered software defect prediction system
Production of high-quality software at lower cost has always been the main concern of
developers. However, due to exponential increases in size and complexity, the development …
developers. However, due to exponential increases in size and complexity, the development …
An ensemble learning approach for software defect prediction in developing quality software product
Abstract Software Defect Prediction (SDP) is a major research field in the software
development life cycle. The accurate SDP would assist software developers and engineers …
development life cycle. The accurate SDP would assist software developers and engineers …
A survey of software defect prediction based on deep learning
M Nevendra, P Singh - Archives of Computational Methods in Engineering, 2022 - Springer
Software defect prediction (SDP) is a procedure to develop a model that can be utilized by
software practitioners and researchers in the initial phases of the software development life …
software practitioners and researchers in the initial phases of the software development life …
Cross Project Software Defect Prediction Using Machine Learning: A Review
MS Saeed, M Saleem - … Journal of Computational and Innovative Sciences, 2023 - ijcis.com
Software defect prediction is a crucial area of study focused on enhancing software quality
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …
and cutting down on software upkeep expenses. Cross Project Defect Prediction (CPDP) is …
[引用][C] Hybrid approach for software defect prediction using machine learning with optimization technique
C Manjula, L Florence - International Journal of Computer and Information …, 2018
Software defect prediction using an intelligent ensemble-based model
M Ali, T Mazhar, Y Arif, S Al-Otaibi, YY Ghadi… - IEEE …, 2024 - ieeexplore.ieee.org
Software defect prediction plays a crucial role in enhancing software quality while achieving
cost savings in testing. Its primary objective is to identify and send only defective modules to …
cost savings in testing. Its primary objective is to identify and send only defective modules to …
Software defect prediction based on ensemble learning
R Li, L Zhou, S Zhang, H Liu, X Huang… - Proceedings of the 2019 …, 2019 - dl.acm.org
Software defect prediction is one of the important ways to guarantee the quality of software
systems. Combining various algorithms in machine learning to predict software defects has …
systems. Combining various algorithms in machine learning to predict software defects has …
[引用][C] A novel ensemble feature selection and software defect detection model on promise defect datasets
E Sreedevi, Y Prasanth - Int J Recent Technol Eng, 2018
LCNN: Lightweight CNN architecture for software defect feature identification using Explainable AI
Software defect identification (SDI) is a key part of improving the quality of software projects
and lowering the risks that along with maintenance. It does identify the software defect …
and lowering the risks that along with maintenance. It does identify the software defect …