Exploring the interaction of design variability and stochastic operational uncertainties in software-intensive systems through the lens of modeling

J Cámara - Software and Systems Modeling, 2024 - Springer
In software-intensive systems, navigating the complexities that emerge from the interaction
of design variability and stochastic operational uncertainties presents a daunting challenge …

Leveraging Machine Learning for Optimal Object-Relational Database Map** in Software Systems

S Azizian, E Rastegari, H Bagheri - Proceedings of the 1st ACM …, 2024 - dl.acm.org
Modern software systems, developed using object-oriented programming languages
(OOPL), often rely on relational databases (RDB) for persistent storage, leading to the object …

Evolutionary Analysis of Alloy Specifications with an Adaptive Fitness Function

J Wang, C Stevens, B Kidmose, MB Cohen… - … Symposium on Search …, 2024 - Springer
The use of formal methods in software engineering imparts a high degree of rigor and
precision on the software development process. While formal methods are crucial for …

Exploring the interaction of design variability and stochastic operational uncertainties in software-intensive systems through the lens of modeling

J Cámara-Moreno - 2024 - riuma.uma.es
In software-intensive systems, navigating the complexities that emerge from the interaction
of design variability and stochastic operational uncertainties presents a daunting challenge …

Improving Scalability for Formal Analysis through Automated Tightening of Analysis Bounds

C Stevens - 2023 - search.proquest.com
Formal analysis is an invaluable tool for software engineers, yet state-of-the-art formal
analysis techniques suffer from well-known limitations in terms of scalability. Modern, real …