Software Defect Prediction Using an Intelligent Ensemble-Based Model

QR Code

Software Defect Prediction Using an Intelligent Ensemble-Based Model

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 the testing stage. This research introduces an intelligent ensemble-based software defect prediction model th...

Full description

Bibliographic Details
Published in:	IEEE Access
Main Author:	Ali M.; Mazhar T.; Arif Y.; Al-Otaibi S.; Ghadi Y.Y.; Shahzad T.; Khan M.A.; Hamam H.
Format:	Article
Language:	English
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183952438&doi=10.1109%2fACCESS.2024.3358201&partnerID=40&md5=5ad1900c624b143fd133e72b5b14c0ff

Similar Items

Software Defect Prediction Using an Intelligent Ensemble-Based Model
by: Ali, et al.
Published: (2024)

Software Defect Prediction Using an Intelligent Ensemble-Based Model (vol 12, pg 20376, 2024)
by: Ali, et al.
Published: (2024)

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
by: Ali M.; Mazhar T.; Al-Rasheed A.; Shahzad T.; Ghadi Y.Y.; Khan M.A.
Published: (2024)

Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
by: Ali, et al.
Published: (2024)

Correction to: The role of blockchain to secure internet of medical things (Scientific Reports, (2024), 14, 1, (18422), 10.1038/s41598-024-68529-x)
by: Ghadi Y.Y.; Mazhar T.; Shahzad T.; Amir khan M.; Abd‑Alrazaq A.; Ahmed A.; Hamam H.
Published: (2024)

The role of blockchain to secure internet of medical things
by: Ghadi Y.Y.; Mazhar T.; Shahzad T.; Amir khan M.; Abd-Alrazaq A.; Ahmed A.; Hamam H.
Published: (2024)

The role of blockchain to secure internet of medical things
by: Ghadi, et al.
Published: (2024)

YOLO and residual network for colorectal cancer cell detection and counting
by: Haq I.; Mazhar T.; Asif R.N.; Ghadi Y.Y.; Ullah N.; Khan M.A.; Al-Rasheed A.
Published: (2024)

Antenna systems for IoT applications: a review
by: Khan S.; Mazhar T.; Shahzad T.; Bibi A.; Ahmad W.; Khan M.A.; Saeed M.M.; Hamam H.
Published: (2024)

A new intelligent modelling two-stage of hybrid fuzzy prediction approach by using computation software
by: Shafi, et al.
Published: (2023)

Cloud-based bug tracking software defects analysis using deep learning
by: Hai T.; Zhou J.; Li N.; Jain S.K.; Agrawal S.; Dhaou I.B.
Published: (2022)

Predicting customer sentiment: the fusion of deep learning and a fuzzy system for sentiment analysis of Arabic text
by: Ambreen S.; Iqbal M.; Asghar M.Z.; Mazhar T.; Khattak U.F.; Khan M.A.; Hamam H.
Published: (2024)

Antenna systems for IoT applications: a review
by: Khan, et al.
Published: (2024)

Classification Prediction of Familial Hypercholesterolemia using Ensemble-based Classifier with Feature Selection and Rebalancing Technique
by: Edward J.; Rosli M.M.; Chua Y.-A.; Kasim N.A.M.; Nawawi H.
Published: (2022)

Harnessing the XGBoost Ensemble for Intelligent Prediction and Identification of Factors with a High Impact on Air Quality: A Case Study of Urban Areas in Jakarta Province, Indonesia
by: Wibowo W.; Al Azies H.; Wilujeng S.A.; Abdul-Rahman S.
Published: (2024)

Ensemble machine learning for predicting in-hospital mortality in Asian women with ST-elevation myocardial infarction (STEMI)
by: Kasim S.; Amir Rudin P.N.F.; Malek S.; Ibrahim K.S.; Wan Ahmad W.A.; Fong A.Y.Y.; Lin W.Y.; Aziz F.; Ibrahim N.
Published: (2024)

Predicting customer sentiment: the fusion of deep learning and a fuzzy system for sentiment analysis of Arabic text
by: Ambreen, et al.
Published: (2024)

DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib S.M.; Asghar M.Z.; Iqbal M.; Al-Rasheed A.; Khan M.A.; Ghadi Y.; Mazhar T.
Published: (2024)

Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks
by: Ali M.D.; Saleem A.; Elahi H.; Khan M.A.; Khan M.I.; Yaqoob M.M.; Farooq Khattak U.; Al-Rasheed A.
Published: (2023)

A cross-item defect prediction method using adversarial learning
by: Ma J.; Zain J.M.; Wang D.; Shi J.
Published: (2024)

Optimal feature selection for heart disease prediction using modified Artificial Bee colony (M-ABC) and K-nearest neighbors (KNN)
by: Khan, et al.
Published: (2024)

A Comparative Analysis of Combination of CNN-Based Models with Ensemble Learning on Imbalanced Data
by: Gao X.; Jamil N.; Ramli M.I.; Ariffin S.M.Z.S.Z.
Published: (2024)

Enhancement of Prediction Model for Students’ Performance in Intelligent Tutoring System
by: Almarzuki H.F.; Samah K.A.F.A.; Rahim S.K.N.A.; Ibrahim S.; Riza L.S.
Published: (2024)

Knowledge-Based Methods to Train and Optimize Virtual Screening Ensembles
by: Swift R.V.; Jusoh S.A.; Offutt T.L.; Li E.S.; Amaro R.E.
Published: (2016)

Parameter acceptance of software development for oil palm fruit maturity prediction
by: Hudzari R.M.; Ishak W.W.W.; Noorman M.M.
Published: (2010)

Software project management maturity assessment model to assess software project management practices
by: Bin Mohd Fauzi S.S.; Ramli N.B.
Published: (2007)

Survey on Formation Verification for Ensembling Collective Adaptive System
by: Johari M.H.; Jawaddi S.N.A.; Ismail A.
Published: (2022)

YOLO and residual network for colorectal cancer cell detection and counting
by: Haq, et al.
Published: (2024)

DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib, et al.
Published: (2024)

Comparison of ensemble hybrid sampling with bagging and boosting machine learning approach for imbalanced data
by: Malek N.H.A.; Yaacob W.F.W.; Wah Y.B.; Md Nasir S.A.; Shaadan N.; Indratno S.W.
Published: (2023)

Classification of Defect and Non-Defect Durian Using Image Processing Technique
by: Khazri F.I.A.; Kutty S.B.; Sani M.M.; Kassim M.; Saaidin S.
Published: (2024)

Exploring lift car defects: An examination of common defects and the possible causes
by: Mustafa S.N.A.M.; Sabri N.S.M.; Ishak N.M.; Rosni N.N.M.
Published: (2024)

A Comprehensive Analysis of a Framework for Rebalancing Imbalanced Medical Data Using an Ensemble-based Classifier
by: Edward, et al.
Published: (2024)

Design of H-shape Defected Ground Structure
by: Razali N.A.; Zakaria N.A.; Shariff K.K.M.; Rashid N.E.A.; Khan Z.I.; Ab Rahim S.A.E.
Published: (2020)

Automated Wood Surface Defects Recognition System Using Yolov4-tiny Model
by: Musa A.M.B.; Momin M.A.; Khairuddin A.S.M.; Khairuddin U.; Ahmad A.; Rosli N.R.
Published: (2023)

Characterization of the impact of coating defects on ceramic insulator efficiency: Machine learning approaches
by: Salem, et al.
Published: (2025)

Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
by: Tao H.; Al-Khafaji Z.S.; Qi C.; Zounemat-Kermani M.; Kisi O.; Tiyasha T.; Chau K.-W.; Nourani V.; Melesse A.M.; Elhakeem M.; Farooque A.A.; Pouyan Nejadhashemi A.; Khedher K.M.; Alawi O.A.; Deo R.C.; Shahid S.; Singh V.P.; Yaseen Z.M.
Published: (2021)

Molecular description of familial defective APOB-100 in Malaysia
by: Al-Khateeb A.R.; Sapawi Mohd M.; Yusof Z.; Zilfalil B.A.
Published: (2013)

NBTI Defects Characterization Using Energy Profiling Simulation Technique
by: Hussin H.; Wan S.F.; Soin N.; Wahab Y.A.; Muhamad M.; Alias N.E.
Published: (2023)

Teachers' perception towards psychometrics analysis software
by: Fook C.Y.; Sidhu G.K.; Hashim R.A.; Hamid A.A.; Yunus F.W.
Published: (2011)