Self-adaptive testing in the field

S Silva, P Pelliccione, A Bertolino - ACM Transactions on Autonomous …, 2024 - dl.acm.org
We are increasingly surrounded by systems connecting us with the digital world and
facilitating our life by supporting our work, leisure, activities at home, health, and so on …

Formulating a quality model for cloud-native software architectures: conceptual and methodological considerations

R Lichtenthäler, G Wirtz - Cluster Computing, 2024 - Springer
Interest in cloud computing is steadily increasing and the range of offerings is evolving due
to continuous technological innovation. Hence, cloud-native has been established as a term …

Identifying Performance Issues in Microservice Architectures through Causal Reasoning

L Giamattei, A Guerriero, I Malavolta, C Mascia… - Proceedings of the 5th …, 2024 - dl.acm.org
Evaluating the performance of Microservices Architectures (MSA) is essential to ensure their
proper functioning and meet end-user satisfaction. For MSA performance analysts, one of …

Modeling Resilience of Collaborative AI Systems

D Rimawi, A Liotta, M Todescato, B Russo - Proceedings of the IEEE …, 2024 - dl.acm.org
A Collaborative Artificial Intelligence System (CAIS) performs actions in collaboration with
the human to achieve a common goal. CAISs can use a trained AI model to control human …

Multi-Versioning and Microservices: A Strategy for Developing Reliable Software Systems

N Akhtarian - 2024 - yorkspace.library.yorku.ca
In the dynamic realm of software engineering, adaptability is key to sustaining system
performance and reliability. Software iterations often bring about challenges such as …

[PDF][PDF] Towards LLM-Assisted System Testing for Microservices

M Almutawa, Q Ghabrah, M Canini - mcanini.github.io
As modern applications are being designed in a distributed, Microservices Architecture
(MSA), it becomes increasingly difficult to debug and test those systems. Typically, it is the …