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 …
Metaheuristic feature selection for software fault prediction
Achieving bug-free software is hard as most of the time there are hidden defects. Predicting
the rate of faultiness in software modules before commercializing is still a challenge to …
the rate of faultiness in software modules before commercializing is still a challenge to …
A software defect prediction method using binary gray wolf optimizer and machine learning algorithms
Context Software defect prediction means finding defect-prone modules before the testing
process which will reduce testing cost and time. Machine learning methods can provide …
process which will reduce testing cost and time. Machine learning methods can provide …
Improved prediction of software defects using ensemble machine learning techniques
S Mehta, KS Patnaik - Neural Computing and Applications, 2021 - Springer
Software testing process is a crucial part in software development. Generally the errors
made by developers get fixed at a later stage of the software development process. This …
made by developers get fixed at a later stage of the software development process. This …
FOFS: firefly optimization for feature selection to predict fault-prone software modules
S Goyal - Data Engineering for Smart Systems: Proceedings of …, 2022 - Springer
Early prediction of fault-prone modules in software development is desirable to ensure the
high-quality end product. It highlights the modules which are susceptible to faults and incur …
high-quality end product. It highlights the modules which are susceptible to faults and incur …
Majority vote feature selection algorithm in software fault prediction
Identification and location of defects in software projects is an important task to improve
software quality and to reduce software test effort estimation cost. In software fault prediction …
software quality and to reduce software test effort estimation cost. In software fault prediction …
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 …
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 …
Wrapper feature selection based heterogeneous classifiers for software defect prediction
A Ekundayo - Adeleke University Journal of …, 2019 - aujet.adelekeuniversity.edu.ng
Abstract The performance of Software Defect Prediction (SDP) models depends on the
quality of dataset used for training the models. The high dimensionality of software metric …
quality of dataset used for training the models. The high dimensionality of software metric …
Feature selection using firefly algorithm in software defect prediction
M Anbu, GS Anandha Mala - Cluster Computing, 2019 - Springer
Defects occurring in software product are a universal event. Prevention of these defects in
the early stage needs more attention because early stage prevention and fixing requires …
the early stage needs more attention because early stage prevention and fixing requires …