Data quality issues in software fault prediction: a systematic literature review
Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …
cost and time. Various machine learning models have been proposed in the past for …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
Weighting approaches in data mining and knowledge discovery: A review
Z Hajirahimi, M Khashei - Neural Processing Letters, 2023 - Springer
Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …
Examining the performance of kernel methods for software defect prediction based on support vector machine
Abstract Support Vector Machine (SVM) has been widely used to build software defect
prediction models. Prior studies compared the accuracy of SVM to other machine learning …
prediction models. Prior studies compared the accuracy of SVM to other machine learning …
An efficient hybrid mine blast algorithm for tackling software fault prediction problem
An inherent problem in software engineering is that competing prediction systems have
been found to produce conflicting results. Yet accurate prediction is crucial because the …
been found to produce conflicting results. Yet accurate prediction is crucial because the …
A feature selection model for software defect prediction using binary Rao optimization algorithm
K Thirumoorthy - Applied Soft Computing, 2022 - Elsevier
In this digital world, using software has become an important part of daily life and business.
The software must be rigorously tested in order to avert a financial crisis. The defect-free …
The software must be rigorously tested in order to avert a financial crisis. The defect-free …
Impact of feature selection methods on the predictive performance of software defect prediction models: an extensive empirical study
Feature selection (FS) is a feasible solution for mitigating high dimensionality problem, and
many FS methods have been proposed in the context of software defect prediction (SDP) …
many FS methods have been proposed in the context of software defect prediction (SDP) …
An enhanced evolutionary software defect prediction method using island moth flame optimization
Software defect prediction (SDP) is crucial in the early stages of defect-free software
development before testing operations take place. Effective SDP can help test managers …
development before testing operations take place. Effective SDP can help test managers …
Feature selection using golden jackal optimization for software fault prediction
A program's bug, fault, or mistake that results in unintended results is known as a software
defect or fault. Software flaws are programming errors due to mistakes in the requirements …
defect or fault. Software flaws are programming errors due to mistakes in the requirements …
Wrapper-based optimized feature selection using nature-inspired algorithms
N Karlupia, P Abrol - Neural Computing and Applications, 2023 - Springer
Computations that mimic nature are known as nature-inspired computing. Nature presents a
wealthy source of thoughts and ideas for computing. The use of natural galvanized …
wealthy source of thoughts and ideas for computing. The use of natural galvanized …