A Multivariate Characterization and Detection of Software Performance Antipatterns-Reference-Cited by-同舟云学术

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A Multivariate Characterization and Detection of Software Performance Antipatterns

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

Avritzer Alberto¹,Britto Ricardo²,Trubiani Catia³,Russo Barbara⁴,Janes Andrea⁴,Camilli Matteo⁴,van Hoorn André⁵,Heinrich Robert⁶,Rapp Martina⁷,Henß Jörg⁷

Affiliation:

1. eSulab Solutions, Princeton, NJ, USA

2. Ericsson AB & Blekinge Institute of Technology, Karlskrona, Sweden

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

4. Free University of Bozen-Bolzano, Bolzano, Italy

5. University of Stuttgart, Stuttgart, Germany

6. Karlsruhe Institute of Technology, Karlsruhe, Germany

7. FZI Forschungszentrum Informatik, Karlsruhe, Germany

Funder

Ministry of Public Education (Italy)

EU Horizon 2020

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3427921.3450246

Reference27 articles.

1. An approach for modeling and detecting software performance antipatterns based on first-order logics

2. Guilt-based handling of software performance antipatterns in palladio architectural models

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1. The slow and the furious? Performance antipattern detection in Cyber–Physical Systems;Journal of Systems and Software;2023-11

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3. Actor-Driven Decomposition of Microservices through Multi-level Scalability Assessment;ACM Transactions on Software Engineering and Methodology;2023-07-22

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

5. A Graph-Based Java Projects Representation for Antipatterns Detection;Software Architecture;2023

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