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 …
A cloud-based software defect prediction system using data and decision-level machine learning fusion
This research contributes an intelligent cloud-based software defect prediction system using
data and decision-level machine learning fusion techniques. The proposed system detects …
data and decision-level machine learning fusion techniques. The proposed system detects …
[HTML][HTML] Robust key parameter identification of dedicated hybrid engine performance indicators via K-fold filter collaborated feature selection
Dedicated hybrid engine technology using auxiliary electronic components has been proven
as an energy-saving solution to public concerns about energy consumption and carbon …
as an energy-saving solution to public concerns about energy consumption and carbon …
[HTML][HTML] Reliable prediction of software defects using Shapley interpretable machine learning models
Predicting defect-prone software components can play a significant role in allocating
relevant testing resources to fault-prone modules and hence increasing the business value …
relevant testing resources to fault-prone modules and hence increasing the business value …
An adaptive rank aggregation-based ensemble multi-filter feature selection method in software defect prediction
Feature selection is known to be an applicable solution to address the problem of high
dimensionality in software defect prediction (SDP). However, choosing an appropriate filter …
dimensionality in software defect prediction (SDP). However, choosing an appropriate filter …
BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks
Z Wang, W Tong, P Li, G Ye, H Chen, X Gong… - Complex & Intelligent …, 2023 - Springer
Since defects in software may cause product fault and financial loss, it is essential to conduct
software defect prediction (SDP) to identify the potentially defective modules, especially in …
software defect prediction (SDP) to identify the potentially defective modules, especially in …
Software defect prediction using wrapper feature selection based on dynamic re-ranking strategy
Finding defects early in a software system is a crucial task, as it creates adequate time for
fixing such defects using available resources. Strategies such as symmetric testing have …
fixing such defects using available resources. Strategies such as symmetric testing have …
[PDF][PDF] Intelligent tree-based ensemble approaches for phishing website detection
The adverse effects of phishing attacks on unsuspecting victims are damaging and
nefarious. Stealing of information from unsuspecting users surges on the internet and …
nefarious. Stealing of information from unsuspecting users surges on the internet and …
Empirical analysis of data sampling-based ensemble methods in software defect prediction
This research work investigates the deployment of data sampling and ensemble techniques
in alleviating the class imbalance problem in software defect prediction (SDP). Specifically …
in alleviating the class imbalance problem in software defect prediction (SDP). Specifically …
Identification of pattern mining algorithm for rugby league players positional groups separation based on movement patterns
The application of pattern mining algorithms to extract movement patterns from sports big
data can improve training specificity by facilitating a more granular evaluation of movement …
data can improve training specificity by facilitating a more granular evaluation of movement …