PTMTorrent: a dataset for mining open-source pre-trained model packages

W Jiang, N Synovic, P Jajal… - 2023 IEEE/ACM 20th …, 2023 - ieeexplore.ieee.org
Due to the cost of developing and training deep learning models from scratch, machine
learning engineers have begun to reuse pre-trained models (PTMs) and fine-tune them for …

[HTML][HTML] Prioritizing user requirements for digital products using explainable artificial intelligence: A data-driven analysis on video conferencing apps

S Bai, S Shi, C Han, M Yang, BB Gupta… - Future Generation …, 2024 - Elsevier
The advent of Industry 5.0 has brought a wealth of digital information to mobile app stores.
With the help of emerging technologies such as machine learning and explainable artificial …

Artificial intelligence and software engineering: Are we ready?

A Mashkoor, T Menzies, A Egyed, R Ramler - Computer, 2022 - ieeexplore.ieee.org
Artificial Intelligence and Software Engineering: Are We Ready? Page 1 Artificial Intelligence
and Software Engineering: Are We Ready? Digital Object Identifier 10.1109/MC.2022.3144805 …

Modeling the Development of Energy Network Software, Taking into Account the Detection and Elimination of Vulnerabilities

I Kotenko, K Izrailov, M Buinevich, I Saenko, R Shorey - Energies, 2023 - mdpi.com
This paper solves the problem of modeling the scheme for developing software systems,
which can be used in building solutions for secure energy networks. A development scheme …

Tool-supported teaching of UML diagrams in software engineering education-A systematic literature review

F Huber, G Hagel - 2022 45th Jubilee International Convention …, 2022 - ieeexplore.ieee.org
There is hardly a university that does not offer a course in software engineering for computer
scientists. Due to the expanding complexity of software systems and rapidly changing …

Can static analysis tools find more defects? a qualitative study of design rule violations found by code review

S Mehrpour, TD LaToza - Empirical Software Engineering, 2023 - Springer
Static analysis tools find defects in code, checking code against rules to reveal potential
defects. Many studies have evaluated these tools by measuring their ability to detect known …

Augmented reality development using multimedia development life cycle (MDLC) method in learning media

S Solehatin, S Aslamiyah, DAA Pertiwi… - Journal of Soft …, 2023 - shmpublisher.com
Practical classroom learning in the multimedia department requires props, where props
range from damage. To address this need, learning media are made by applying …

Systematic Literature Review on Application of Machine Learning in Continuous Integration

AK Arani, THM Le, M Zahedi, MA Babar - arXiv preprint arXiv:2305.12695, 2023 - arxiv.org
This research conducted a systematic review of the literature on machine learning (ML)-
based methods in the context of Continuous Integration (CI) over the past 22 years. The …

Trends in Intelligent and AI‐Based Software Engineering Processes: A Deep Learning‐Based Software Process Model Recommendation Method

FH Alshammari - Computational intelligence and neuroscience, 2022 - Wiley Online Library
In recent years, numerous studies have successfully implemented machine learning
strategies in a wide range of application areas. Therefore, several different deep learning …

AI and Software Engineering: Rapid Process Improvement through Advanced Techniques

M Bodimani - Journal of Science & Technology, 2021 - thesciencebrigade.com
In recent years, a variety of research have effectively applied machine learning approaches
across a broad range of industries. This led to the creation of a large range of deep learning …