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A systematic review of software fault prediction studies
This paper provides a systematic review of previous software fault prediction studies with a
specific focus on metrics, methods, and datasets. The review uses 74 software fault …
specific focus on metrics, methods, and datasets. The review uses 74 software fault …
Software fault prediction: A literature review and current trends
C Catal - Expert systems with applications, 2011 - Elsevier
Software engineering discipline contains several prediction approaches such as test effort
prediction, correction cost prediction, fault prediction, reusability prediction, security …
prediction, correction cost prediction, fault prediction, reusability prediction, security …
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 …
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 …
Investigating the effect of dataset size, metrics sets, and feature selection techniques on software fault prediction problem
Software quality engineering comprises of several quality assurance activities such as
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …
testing, formal verification, inspection, fault tolerance, and software fault prediction. Until …
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 …
Revisiting unsupervised learning for defect prediction
Collecting quality data from software projects can be time-consuming and expensive.
Hence, some researchers explore" unsupervised" approaches to quality prediction that does …
Hence, some researchers explore" unsupervised" approaches to quality prediction that does …
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 …
Multiple kernel ensemble learning for software defect prediction
T Wang, Z Zhang, X **g, L Zhang - Automated Software Engineering, 2016 - Springer
Software defect prediction aims to predict the defect proneness of new software modules
with the historical defect data so as to improve the quality of a software system. Software …
with the historical defect data so as to improve the quality of a software system. Software …
[HTML][HTML] Salp swarm optimizer for modeling the software fault prediction problem
This paper proposes the salp swarm algorithm (SSA) combined with a backpropagation
neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP …
neural network (BPNN) to solve the software fault prediction (SFP) problem. The SFP …