Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hamoud Aljamaan"'
Autor:
Hamoud Aljamaan
Publikováno v:
PeerJ Computer Science, Vol 10, p e2254 (2024)
Code smells refer to poor design and implementation choices by software engineers that might affect the overall software quality. Code smells detection using machine learning models has become a popular area to build effective models that are capable
Externí odkaz:
https://doaj.org/article/b856c6e569934f9c969fad86c8710a80
Autor:
Rana Sandouka, Hamoud Aljamaan
Publikováno v:
PeerJ Computer Science, Vol 9, p e1370 (2023)
Code smells are poor code design or implementation that affect the code maintenance process and reduce the software quality. Therefore, code smell detection is important in software building. Recent studies utilized machine learning algorithms for co
Externí odkaz:
https://doaj.org/article/918c787e9a4d407ba38fafaca4018ddb
Autor:
Amani Alqarni, Hamoud Aljamaan
Publikováno v:
Applied Sciences, Vol 13, Iss 24, p 13319 (2023)
Software defect prediction is an active research area. Researchers have proposed many approaches to overcome the imbalanced defect problem and build highly effective machine learning models that are not biased towards the majority class. Generative a
Externí odkaz:
https://doaj.org/article/d74c6e2e8bac491e89ff0ad391d3226e
Autor:
Kazi Ekramul Hoque, Hamoud Aljamaan
Publikováno v:
IEEE Access, Vol 9, Pp 163815-163830 (2021)
Stock price forecasting has been reported as a challenging task in the scientific and financial communities due to stock prices’ nonlinear and dynamic nature. Machine learning models exhibit capabilities that allow them to handle nonlinear data and
Externí odkaz:
https://doaj.org/article/a6cc46c443274fc4a3319eca3d50a509
Autor:
Amal Alazba, Hamoud Aljamaan
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4577 (2022)
Software defect prediction refers to the automatic identification of defective parts of software through machine learning techniques. Ensemble learning has exhibited excellent prediction outcomes in comparison with individual classifiers. However, mo
Externí odkaz:
https://doaj.org/article/01004f5e9b6643e5859aae708a197a1c
Publikováno v:
Empirical Software Engineering. 28
Publikováno v:
2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).
Publikováno v:
Arabian Journal for Science and Engineering. 45:2341-2369
Code smells are indicators of potential problems in software. They tend to have a negative impact on software quality. Several studies use machine learning techniques to detect bad smells. The objective of this study is to systematically review and a
Autor:
Hamoud Aljamaan
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops (ASEW).