Data quality issues in software fault prediction: a systematic literature review
Software fault prediction (SFP) aims to improve software quality with a possible minimum
cost and time. Various machine learning models have been proposed in the past for …
cost and time. Various machine learning models have been proposed in the past for …
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 …
Backpropagation Neural Network optimization and software defect estimation modelling using a hybrid Salp Swarm optimizer-based Simulated Annealing Algorithm
Abstract Software Defect Estimation (SDE) is a fundamental problem solving mechanism in
the field of software engineering (SE). SDE is a task that identifies software models that are …
the field of software engineering (SE). SDE is a task that identifies software models that are …
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 …
Software reliability prediction and optimization using machine learning algorithms: A review
Software reliability is an important part while evaluating software quality. Many challenges
are faced while developing highly reliable software such as its usability, performance …
are faced while developing highly reliable software such as its usability, performance …
Feature selection using golden jackal optimization for software fault prediction
A program's bug, fault, or mistake that results in unintended results is known as a software
defect or fault. Software flaws are programming errors due to mistakes in the requirements …
defect or fault. Software flaws are programming errors due to mistakes in the requirements …
Software defect prediction using feature selection and random forest algorithm
DR Ibrahim, R Ghnemat… - … International conference on …, 2017 - ieeexplore.ieee.org
Software testing is the most important task in software production and it takes a lot of time,
cost and effort. Thus, we need to reduce these resources. Software Defect Prediction (SDP) …
cost and effort. Thus, we need to reduce these resources. Software Defect Prediction (SDP) …
Solving feature selection problems by combining mutation and crossover operations with the monarch butterfly optimization algorithm
M Alweshah - Applied Intelligence, 2021 - Springer
Feature selection (FS) is used to solve hard optimization problems in artificial intelligence
and data mining. In the FS process, some, rather than all of the features of a dataset are …
and data mining. In the FS process, some, rather than all of the features of a dataset are …
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 …
Genetic evolution-based feature selection for software defect prediction using SVMs
S Goyal - Journal of Circuits, Systems and Computers, 2022 - World Scientific
Software Defect Prediction (SDP) involves the early detection of fault-prone modules and
reduces the testing efforts and cost. Support Vector Machine (SVM)-based SDP classifiers …
reduces the testing efforts and cost. Support Vector Machine (SVM)-based SDP classifiers …