Software fault prediction using data mining, machine learning and deep learning techniques: A systematic literature review
Software fault/defect prediction assists software developers to identify faulty constructs, such
as modules or classes, early in the software development life cycle. There are data mining …
as modules or classes, early in the software development life cycle. There are data mining …
A literature review of using machine learning in software development life cycle stages
The software engineering community is rapidly adopting machine learning for transitioning
modern-day software towards highly intelligent and self-learning systems. However, the …
modern-day software towards highly intelligent and self-learning systems. However, the …
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 …
A survey on machine learning techniques for source code analysis
The advancements in machine learning techniques have encouraged researchers to apply
these techniques to a myriad of software engineering tasks that use source code analysis …
these techniques to a myriad of software engineering tasks that use source code analysis …
[PDF][PDF] Software bug prediction using machine learning approach
Software Bug Prediction (SBP) is an important issue in software development and
maintenance processes, which concerns with the overall of software successes. This is …
maintenance processes, which concerns with the overall of software successes. This is …
Software defect prediction analysis using machine learning techniques
There is always a desire for defect-free software in order to maintain software quality for
customer satisfaction and to save testing expenses. As a result, we examined various known …
customer satisfaction and to save testing expenses. As a result, we examined various known …
Deep learning approach for software maintainability metrics prediction
S Jha, R Kumar, M Abdel-Basset, I Priyadarshini… - Ieee …, 2019 - ieeexplore.ieee.org
Software maintainability predicts changes or failures that may occur in software after it has
been deployed. Since it deals with the degree to which an application may be understood …
been deployed. Since it deals with the degree to which an application may be understood …
Software defect prediction employing BiLSTM and BERT-based semantic feature
Recent years, software defect prediction systems are becoming quite popular since they
improve software reliability by identifying the potential bugs in the code. Several models …
improve software reliability by identifying the potential bugs in the code. Several models …
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 …
[HTML][HTML] Software defect prediction using supervised machine learning and ensemble techniques: a comparative study
A Alsaeedi, MZ Khan - Journal of Software Engineering and Applications, 2019 - scirp.org
An essential objective of software development is to locate and fix defects ahead of
schedule that could be expected under diverse circumstances. Many software development …
schedule that could be expected under diverse circumstances. Many software development …