Rise of the planet of serverless computing: A systematic review

J Wen, Z Chen, X **, X Liu - ACM Transactions on Software …, 2023 - dl.acm.org
Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …

A joint study of the challenges, opportunities, and roadmap of mlops and aiops: A systematic survey

J Diaz-De-Arcaya, AI Torre-Bastida, G Zárate… - ACM Computing …, 2023 - dl.acm.org
Data science projects represent a greater challenge than software engineering for
organizations pursuing their adoption. The diverse stakeholders involved emphasize the …

FaaSLight: General Application-level Cold-start Latency Optimization for Function-as-a-Service in Serverless Computing

X Liu, J Wen, Z Chen, D Li, J Chen, Y Liu… - ACM Transactions on …, 2023 - dl.acm.org
Serverless computing is a popular cloud computing paradigm that frees developers from
server management. Function-as-a-Service (FaaS) is the most popular implementation of …

Serverless on machine learning: A systematic map** study

A Barrak, F Petrillo, F Jaafar - IEEE Access, 2022 - ieeexplore.ieee.org
Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a
machine learning model. It has evolved over the last years and has started attracting many …

Learning and programming challenges of rust: A mixed-methods study

S Zhu, Z Zhang, B Qin, A ** review
V Kjorveziroski, S Filiposka, V Trajkovik - Computers, 2021 - mdpi.com
Serverless computing is a new concept allowing developers to focus on the core
functionality of their code, while abstracting away the underlying infrastructure. Even though …

An empirical study of the systemic and technical migration towards microservices

H Michael Ayas, P Leitner, R Hebig - Empirical Software Engineering, 2023 - Springer
Context As many organizations modernize their software architecture and transition to the
cloud, migrations towards microservices become more popular. Even though such …

Bias behind the wheel: Fairness testing of autonomous driving systems

X Li, Z Chen, J Zhang, F Sarro, Y Zhang… - ACM Transactions on …, 2024 - kclpure.kcl.ac.uk
This paper conducts fairness testing of automated pedestrian detection, a crucial but under-
explored issue in autonomous driving systems. We evaluate eight state-of-the-art deep …