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 …
Ensembles based combined learning for improved software fault prediction: A comparative study
CW Yohannese, T Li, M Simfukwe… - … on intelligent systems …, 2017 - ieeexplore.ieee.org
Software Fault Prediction (SFP) research has made enormous endeavor to accurately
predict fault proneness of software modules to maximize precious software test resources …
predict fault proneness of software modules to maximize precious software test resources …
Empirical evaluation of the performance of data sampling and feature selection techniques for software fault prediction
SC Rathi, S Misra, R Colomo-Palacios… - Expert Systems with …, 2023 - Elsevier
Abstract Context: The application of Software Fault Prediction (SFP) in the software
development life cycle to predict the faulty class at the early stage has piqued the interest of …
development life cycle to predict the faulty class at the early stage has piqued the interest 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 …
An empirical study of ensemble techniques for software fault prediction
SS Rathore, S Kumar - Applied Intelligence, 2021 - Springer
Previously, many researchers have performed analysis of various techniques for the
software fault prediction (SFP). Oddly, the majority of such studies have shown the limited …
software fault prediction (SFP). Oddly, the majority of such studies have shown the limited …
Boosted whale optimization algorithm with natural selection operators for software fault prediction
Software fault prediction (SFP) is a challenging process that any successful software should
go through it to make sure that all software components are free of faults. In general, soft …
go through it to make sure that all software components are free of faults. In general, soft …
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 …
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 …
Iterated feature selection algorithms with layered recurrent neural network for software fault prediction
Software fault prediction (SFP) is typically used to predict faults in software components.
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …
Machine learning techniques (eg, classification) are widely used to tackle this problem. With …
Enhanced binary moth flame optimization as a feature selection algorithm to predict software fault prediction
Software fault prediction (SFP) is a complex problem that meets developers in the software
development life cycle. Collecting data from real software projects, either while the …
development life cycle. Collecting data from real software projects, either while the …