We found that various Microsoft teams have united this workflow into preexisting, well-evolved, Agile-like software engineering processes, providing insights about several essential …

Apr 8, 2025 · Below are the basic components and their notations of a State Machine Diagram: 1. Initial state. We use a black filled circle represent the initial state of a System or a Class. 2. …

In this context, we investigate the challenges and practices that emerge during the development of ML models from the software engineering perspective.

In 2024, the Software Engineering Institute (SEI) released Machine Learning Test and Evaluation (MLTE, referred to as “melt”), a process and tool co-developed by the SEI and the Army AI …

Dec 14, 2017 · Machine Learning (ML) is the discipline that studies methods for automatically inferring models from data. Machine learning has been successfully applied in many areas of …

Dec 18, 2024 · Model-Driven Engineering (MDE) provides a huge body of knowledge of automation for many different engineering tasks, especially those involving transitioning from …

Jun 17, 2024 · A machine-learning algorithm (sometimes also called modeling technique), implemented in a machine-learning library or machine-learning framework, such as sklearn or …

Software engineering is an analytical study and process that is systematic, well-organized, and utilized to develop, operate, and maintain software systems. How can Machine Learning be …

Feb 15, 2021 · In this context, this paper is an effort to investigate the challenges and practices that emerge during the development of ML models from the software engineering perspective …

By categorizing the rationales behind the selection of ML/DL techniques into five themes, we analyzed how model performance, robustness, interpretability, complexity, and data simplicity …