Towards Semantic Detection of Smells in Cloud Infrastructure Code

Author:

Kumara Indika1,Vasileiou Zoe2,Meditskos Georgios2,Tamburri Damian A.3,Van Den Heuvel Willem-Jan3,Karakostas Anastasios2,Vrochidis Stefanos2,Kompatsiaris Ioannis2

Affiliation:

1. Jheronimus Academy of Data Science, Eindhoven, University of Technology, Netherlands

2. Information Technologies Institute, Centre for Research & Technology - Hellas, Greece

3. Jheronimus Academy of Data Science, Eindhoven University of Technology, Netherlands

Publisher

ACM

Reference16 articles.

1. Julian Bellendorf and Zoltán Adám Mann. 2019. Specification of cloud topologies and orchestration using TOSCA: a survey. Computing (2019) 1--23. Julian Bellendorf and Zoltán Adám Mann. 2019. Specification of cloud topologies and orchestration using TOSCA: a survey. Computing (2019) 1--23.

2. A Systematic Review of Cloud Modeling Languages

3. On semantic detection of cloud API (anti)patterns

4. CloudMF

5. Understanding the Semantic Web through Descriptions and Situations

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1. Compliance Management of IaC-Based Cloud Deployments During Runtime;Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing;2023-12-04

2. CloudScent: A Model for Code Smell Analysis in Open-Source Cloud;2023 IEEE International Conference on Cloud Computing Technology and Science (CloudCom);2023-12-04

3. SoK: Static Configuration Analysis in Infrastructure as Code Scripts;2023 IEEE International Conference on Cyber Security and Resilience (CSR);2023-07-31

4. Detecting and Resolving Coupling-Related Infrastructure as Code Based Architecture Smells in Microservice Deployments;2023 IEEE 16th International Conference on Cloud Computing (CLOUD);2023-07

5. Control and Data Flow in Security Smell Detection for Infrastructure as Code: Is It Worth the Effort?;2023 IEEE/ACM 20th International Conference on Mining Software Repositories (MSR);2023-05

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