Software defect prediction using ensemble learning: A systematic literature review
Recent advances in the domain of software defect prediction (SDP) include the integration of
multiple classification techniques to create an ensemble or hybrid approach. This technique …
multiple classification techniques to create an ensemble or hybrid approach. This technique …
Ensemble machine learning paradigms in software defect prediction
Predicting faults in software aims to detect defects before the testing phase, allowing for
better resource allocation and high-quality software development, which is a requisite for …
better resource allocation and high-quality software development, which is a requisite for …
Identifying the drivers of land expansion and evaluating multi-scenario simulation of land use: A case study of Mashan County, China
S Chen, S Yao - Ecological Informatics, 2023 - Elsevier
To reduce land conflicts and improve the coordination of human activities and land use, it is
crucial to conduct thorough research on sustainable land management and optimization. In …
crucial to conduct thorough research on sustainable land management and optimization. In …
A study on ML-based software defect detection for security traceability in smart healthcare applications
S Mcmurray, AH Sodhro - Sensors, 2023 - mdpi.com
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
Cycle (SDLC). As the prevalence of software systems increases and becomes more …
On the value of parameter tuning in stacking ensemble model for software regression test effort estimation
T Labidi, Z Sakhrawi - The Journal of Supercomputing, 2023 - Springer
A type of software testing, regression testing is often costly and labour-intensive. As such,
multiple corporations have intensified efforts to estimate the amount of effort required …
multiple corporations have intensified efforts to estimate the amount of effort required …
Detecting High‐Risk Factors and Early Diagnosis of Diabetes Using Machine Learning Methods
Diabetes is a chronic disease that can cause several forms of chronic damage to the human
body, including heart problems, kidney failure, depression, eye damage, and nerve damage …
body, including heart problems, kidney failure, depression, eye damage, and nerve damage …
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
M Ali, T Mazhar, A Al-Rasheed, T Shahzad… - PeerJ Computer …, 2024 - peerj.com
Effective software defect prediction is a crucial aspect of software quality assurance,
enabling the identification of defective modules before the testing phase. This study aims to …
enabling the identification of defective modules before the testing phase. This study aims to …
Predictive analytics and software defect severity: A systematic review and future directions
Software testing identifies defects in software products with varying multiplying effects based
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
on their severity levels and sequel to instant rectifications, hence the rate of a research study …
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 Bug Prediction Using Reward-Based Weighted Majority Voting Ensemble Technique
R Kumar, A Chaturvedi - IEEE Transactions on Reliability, 2023 - ieeexplore.ieee.org
An accurate prediction of bugs in software projects can help in improving software projects'
quality. A simple majority voting (SMV) ensemble is an effective technique for bug prediction …
quality. A simple majority voting (SMV) ensemble is an effective technique for bug prediction …