Analysis of feature selection methods in software defect prediction models
Improving software quality by proactively detecting potential defects during development is a
major goal of software engineering. Software defect prediction plays a central role in …
major goal of software engineering. Software defect prediction plays a central role in …
[HTML][HTML] 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 …
[HTML][HTML] 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 …
Performance analysis of machine learning methods with class imbalance problem in Android malware detection
Due to the exponential rise of mobile technology, a slew of new mobile security concerns
has surfaced recently. To address the hazards connected with malware, many approaches …
has surfaced recently. To address the hazards connected with malware, many approaches …
A Novel Rank Aggregation‐Based Hybrid Multifilter Wrapper Feature Selection Method in Software Defect Prediction
The high dimensionality of software metric features has long been noted as a data quality
problem that affects the performance of software defect prediction (SDP) models. This …
problem that affects the performance of software defect prediction (SDP) models. This …
Cascade generalization based functional tree for website phishing detection
The advent of the web and internet space has seen its adoption for rendering various
services-from financial to medical services. This has brought an increase in the rate of …
services-from financial to medical services. This has brought an increase in the rate of …
[PDF][PDF] Heterogeneous Ensemble with Combined Dimensionality Reduction for Social Spam Detection.
AG Oladepo, AO Bajeh, AO Balogun… - International …, 2021 - pdfs.semanticscholar.org
Spamming is one of the challenging problems within social networks which involves
spreading malicious or scam content on a network; this often leads to a huge loss in the …
spreading malicious or scam content on a network; this often leads to a huge loss in the …
Cascade Generalization-based Classifiers for Software Defect Prediction
The process of software defect prediction (SDP) involves predicting which software system
modules or components pose the highest risk of being defective. The projections and …
modules or components pose the highest risk of being defective. The projections and …
A Novel Multidimensional Reference Model For Heterogeneous Textual Datasets Using Context, Semantic And Syntactic Clues
With the advent of technology and use of latest devices, they produces voluminous data. Out
of it, 80% of the data are unstructured and remaining 20% are structured and semi …
of it, 80% of the data are unstructured and remaining 20% are structured and semi …
[PDF][PDF] EMPIRICAL ANALYSIS OF THRESHOLD VALUES FOR RANK-BASED FILTER FEATURE SELECTION METHODS IN SOFTWARE DEFECT PREDICTION
Many studies have been conducted to explore the influence of feature selection (FS)
techniques on software defect prediction (SDP) models, with conflicting empirical results and …
techniques on software defect prediction (SDP) models, with conflicting empirical results and …