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 …
Predicting the defects using stacked ensemble learner with filtered dataset
S Goyal - Automated Software Engineering, 2021 - Springer
Software defect prediction is a crucial software project management activity to enhance the
software quality. It aids the development team to forecast about which modules need extra …
software quality. It aids the development team to forecast about which modules need extra …
Software fault prediction using lion optimization algorithm
S Goyal, PK Bhatia - International Journal of Information Technology, 2021 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and incur high development cost. It is …
software development which are susceptible to faults and incur high development cost. It is …
Heterogeneous stacked ensemble classifier for software defect prediction
S Goyal - 2020 sixth international conference on parallel …, 2020 - ieeexplore.ieee.org
Software defect prediction (SDP) is vital to enhance the software quality with reduced testing
cost. It stresses to put more testing efforts on those modules which are susceptible to defects …
cost. It stresses to put more testing efforts on those modules which are susceptible to defects …
[PDF][PDF] Support vector machine for software defect prediction
PA Selvaraj, P Thangaraj - International Journal of Engineering & …, 2013 - academia.edu
Identifying/removing software defects is time consuming. In ill planned projects, rectifying
defects consumes more time than for code development. Defective module prediction is …
defects consumes more time than for code development. Defective module prediction is …
Software Defect Prediction Using Dagging Meta-Learner-Based Classifiers
To guarantee that software does not fail, software quality assurance (SQA) teams play a
critical part in the software development procedure. As a result, prioritizing SQA activities is a …
critical part in the software development procedure. As a result, prioritizing SQA activities is a …
Static code metrics-based deep learning architecture for software fault prediction
S Goyal - Soft Computing, 2022 - Springer
Software fault prediction (SFP) refers to the early prediction of fault-prone modules in
software development which are susceptible to faults and can incur high development cost …
software development which are susceptible to faults and can incur high development cost …
Omni-ensemble learning (OEL): utilizing over-bagging, static and dynamic ensemble selection approaches for software defect prediction
Machine learning methods in software engineering are becoming increasingly important as
they can improve quality and testing efficiency by constructing models to predict defects in …
they can improve quality and testing efficiency by constructing models to predict defects in …
[HTML][HTML] Software bug prediction using weighted majority voting techniques
Mining software repositories is a growing research field where rich data available in the
different development software repositories, are analyzed and cross-linked to uncover useful …
different development software repositories, are analyzed and cross-linked to uncover useful …
Software fault prediction using an RNN-based deep learning approach and ensemble machine learning techniques
E Borandag - Applied Sciences, 2023 - mdpi.com
Alongside the modern software development life cycle approaches, software testing has
gained more importance and has become an area researched actively within the software …
gained more importance and has become an area researched actively within the software …