Software fault prediction using lion optimization algorithm
S Goyal, PK Bhatia - International Journal of Information Technology, 2021 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and incur high development cost. It is …
software development which are susceptible to faults and incur high development cost. It is …
A PROMETHEE based evaluation of software defect predictors
A software defect is an error, flaw, mistake, or fault in a computer program or system that
produces incorrect or unexpected results and the process of locating defective modules in …
produces incorrect or unexpected results and the process of locating defective modules in …
A systematic literature review on software defect prediction using artificial intelligence: Datasets, Data Validation Methods, Approaches, and Tools
J Pachouly, S Ahirrao, K Kotecha… - … Applications of Artificial …, 2022 - Elsevier
Delivering high-quality software products is a challenging task. It needs proper coordination
from various teams in planning, execution, and testing. Many software products have high …
from various teams in planning, execution, and testing. Many software products have high …
Prediction of software fault-prone classes using ensemble random forest with adaptive synthetic sampling algorithm
A Balaram, S Vasundra - Automated Software Engineering, 2022 - Springer
The process of predicting fault module in software is known as Software Fault Prediction
(SFP) which is important for releasing software versions that are dependent on the …
(SFP) which is important for releasing software versions that are dependent on the …
Empirical evaluation of classifiers for software risk management
Software development involves plenty of risks, and errors exist in software modules
represent a major kind of risk. Software defect prediction techniques and tools that identify …
represent a major kind of risk. Software defect prediction techniques and tools that identify …
Data sampling-based feature selection framework for software defect prediction
AO Balogun, FB Lafenwa-Balogun, HA Mojeed… - … and Technologies for …, 2021 - Springer
High dimensionality and class imbalance are latent data quality problems that have a
negative effect on the predictive capabilities of prediction models in software defect …
negative effect on the predictive capabilities of prediction models in software defect …
Multi_level data pre_processing for software defect prediction
GK Armah, G Luo, K Qin - 2013 6th International Conference on …, 2013 - ieeexplore.ieee.org
Early detection of defective software components enables verification experts give much
time and allocate scare resources to the problem areas of the system under development …
time and allocate scare resources to the problem areas of the system under development …
Software defect prediction based on kernel PCA and weighted extreme learning machine
Context Software defect prediction strives to detect defect-prone software modules by mining
the historical data. Effective prediction enables reasonable testing resource allocation …
the historical data. Effective prediction enables reasonable testing resource allocation …
[PDF][PDF] Feature Selection Using Artificial Immune Network: An Approach for Software Defect Prediction.
Software Defect Prediction (SDP) is a dynamic research field in the software industry. A
quality software product results in customer satisfaction. However, the higher the number of …
quality software product results in customer satisfaction. However, the higher the number of …
Classification framework for faulty-software using enhanced exploratory whale optimizer-based feature selection scheme and random forest ensemble learning
Abstract Software Fault Prediction (SFP) is an important process to detect the faulty
components of the software to detect faulty classes or faulty modules early in the software …
components of the software to detect faulty classes or faulty modules early in the software …