Software fault classification using extreme learning machine: a cognitive approach

AK Pandey, M Gupta - Evolutionary Intelligence, 2022 - Springer
The software fault classification is very crucial in the development of reliable and high-
quality software products. The fault classification allows determining and concentrating on …

WSO-KELM: War Strategy Optimization-Based Kernel Extreme Learning Machine for Automatic Software Fault Prediction Model

JB Elci, S Nandagopalan - Journal of The Institution of Engineers (India) …, 2024 - Springer
The software development projects' testing part is usually expensive and complex, but it is
essential to gauge the effectiveness of the developed software. Software Fault Prediction …

Piecewise Congruence Regressed Indexive Extreme Learning classifier for Software Fault Prediction

S Sureka, P Venkatesh - 2023 - researchsquare.com
Early detection of software faults is significant task in the software development process.
With the development of defect prediction technology, software with defects negatively …

The Comparison of Imbalanced Data Handling Method in Software Defect Prediction

K Khadijah, PS Sasongko - Kinetik: Game Technology, Information …, 2020 - kinetik.umm.ac.id
Software testing is a crucial process in software development life cycle which will affect the
software quality. However, testing is a tedious task and resource consuming. Software …

An effective fault prediction model developed using an extreme learning machine with various kernel methods

L Kumar, A Tirkey, SK Rath - Frontiers of Information Technology & …, 2018 - Springer
Abstract System analysts often use software fault prediction models to identify fault-prone
modules during the design phase of the software development life cycle. The models help …

Software defect prediction ensemble learning algorithm based on 2-step sparrow optimizing extreme learning machine

Y Tang, Q Dai, M Yang, L Chen, Y Du - Cluster Computing, 2024 - Springer
Software defect prediction is a crucial discipline within the software development life cycle.
Accurate identification of defective modules in software can result in time and cost savings …

Software defect prediction based on weighted extreme learning machine

J Gai, S Zheng, H Yu, H Yang - Multiagent and Grid Systems, 2020 - content.iospress.com
The uncertainty of developers' activity can lead to engineering problems such as increased
software defects during software development. Therefore, advanced approaches to …

[PDF][PDF] Extreme Learning Machine based Linear Homogeneous Ensemble for Software Fault Prediction.

PR Bal, S Kumar - ICSOFT, 2018 - pdfs.semanticscholar.org
Many recent studies have experimented the software fault prediction models to predict the
number of software faults using statistical and traditional machine learning techniques …

Software defect prediction using K‐PCA and various kernel‐based extreme learning machine: an empirical study

SK Pandey, D Rathee, AK Tripathi - IET Software, 2020 - Wiley Online Library
Predicting defects during software testing reduces an enormous amount of testing effort and
help to deliver a high‐quality software system. Owing to the skewed distribution of public …

ELM and KELM based software defect prediction using feature selection techniques

I Arora, A Saha - Journal of Information and Optimization Sciences, 2019 - Taylor & Francis
Context: Software defect prediction (SDP) models help in delivering a dependable and a
genuine product to the clients. However, the performance of these models is affected by the …