QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems-Reference-Cited by-同舟云学术

QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems

Published:2021-04-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/SPEC International Conference on Performance Engineering
language:
Short-container-title:

Author:

Pinciroli Riccardo¹,Smith Connie U.²,Trubiani Catia¹

Affiliation:

1. Gran Sasso Science Institute, L'Aquila, Italy

2. L&S Computer Technology, Inc., Austin, TX, USA

Funder

MIUR PRIN project SEDUCE

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3427921.3450251

Reference45 articles.

1. Software Architecture Optimization Methods: A Systematic Literature Review

2. The Palladio component model for model-driven performance prediction

3. JMT

4. André B Bondi. 2015. Foundations of software and system performance engineering: process performance modeling requirements testing scalability and practice .Pearson Education. André B Bondi. 2015. Foundations of software and system performance engineering: process performance modeling requirements testing scalability and practice .Pearson Education.

5. Performance Modelling of Smart Cyber-Physical Systems

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Modeling more software performance antipatterns in cyber-physical systems;Software and Systems Modeling;2023-12-20

2. Comparing perfomance abstractions for collective adaptive systems;International Journal on Software Tools for Technology Transfer;2023-11-02

3. Impact of Architectural Smells on Software Performance: an Exploratory Study;Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering;2023-06-14

4. Continuous Dependability Assessment of Microservice Systems;Lecture Notes in Computer Science;2023

5. Scalability testing automation using multivariate characterization and detection of software performance antipatterns;Journal of Systems and Software;2022-11