Peaks and Valleys: A Journey Through Predictive Modelling for Software Engineering

R Moussa - 2023 - discovery.ucl.ac.uk
Over the last decade automated predictive models have become very popular in a wide
range of software engineering research areas, including software requirements, software …

[图书][B] Articles in ITJEMAST 14 (1) 2023

B Witchayangkoon, AS Hassan - 2024 - books.google.com
Articles from International Transaction Journal of Engineering, Management, & Applied
Sciences & Technologies (ITJEMAST). ITJEMAST publishes a wide spectrum of research …

[PDF][PDF] FACULTY OF MECHANICAL ENGINEERING AND INFORMATICS

NAA Khleel, J SZIGETI, K Nehéz - The Public, 2023 - geik.uni-miskolc.hu
The author hereby declares that this dissertation has not been submitted, either in the same
or in a different form, to this or to any other university for obtaining a PhD degree. The author …

A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction

CM Awais, W Gu, G Dlamini, Z Kholmatova… - … Conference on Intelligent …, 2022 - Springer
Is there a statistical difference between Naive Bayes and Random Forest in terms of recall, f-
measure, and precision for predicting software defects? By utilizing systematic literature …

Detecção de Defeitos de Software Através da Aplicação de uma Arquitetura de Rede Neural Profunda

CD Magalhães, ES dos Santos Júnior… - Anais do L Seminário …, 2023 - sol.sbc.org.br
O ciclo de vida de desenvolvimento de software abrange a etapa de teste de software, uma
atividade rigorosa e custosa. Para obter sistemas de software confiáveis e de qualidade …

Hybrid Genetic Algorithm and Machine Learning Approach for Software Reliability Assessment in Safety-Critical Systems

G Goyal, K Sharma, V Mittal, B Singla… - … in Technology and …, 2024 - ieeexplore.ieee.org
Software reliability is a paramount determinant of software quality. In this research paper, we
delve into utilizing Genetic Algorithms (GAs) for feature selection and classification. We …

Software Defect Prediction Approaches: A Review

ZS Alharthi, A Alsaeedi… - 2021 4th International …, 2021 - ieeexplore.ieee.org
Software testing is a time-consuming and costly task, as it involves testing all software
modules. To minimize the cost and effort of software testing, automatic defect detection can …

Ensemble Learning Applications in Software Fault Prediction

K Kumar, K Chaudhary, D Kumar - International Joint Conference on …, 2022 - Springer
Software fault prediction (SFP) plays a crucial role in the software engineering field by
allocating testing resources reasonably, reducing testing costs, and adhering to software …

Optimization of software defects prediction in imbalanced class using a combination of resampling methods with support vector machine and logistic regression

W Ustyannie, E Setyaningsih… - JURNAL …, 2021 - ejournal.ittelkom-pwt.ac.id
The main problem in producing high accuracy software defect prediction is if the data set
has an imbalance class and dichotomous characteristics. The imbalanced class problem …

MCDM Based Evaluation of Software Defect Prediction Models

A Kumar, K Kaur - … Conference on Advances and Applications of Artificial …, 2022 - Springer
Software defect prediction is an essential activity for software quality assurance. Various
researchers have developed a large number of models for software defect prediction based …