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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Smelly variables in ansible infrastructure code
Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover
(2022)
Open Access | Times Cited: 23

Showing 23 citing articles:

Control and Data Flow in Security Smell Detection for Infrastructure as Code: Is It Worth the Effort?
Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover
(2023)
Open Access | Times Cited: 13
Come for syntax, stay for speed, write secure code: an empirical study of security weaknesses in Julia programs
Yue Zhang, Justin Murphy, Akond Rahman
Empirical Software Engineering (2025) Vol. 30, Iss. 2
Open Access
Enhancing Software Defect Prediction in Ansible Scripts Using Code-Smell-Guided Prompting with Large Language Models in Edge-Cloud Infrastructures
Hyunsun Hong, Sungu Lee, Duksan Ryu, et al.
Communications in computer and information science (2025), pp. 30-42
Closed Access
Towards understanding code review practices for infrastructure-as-code: An empirical study on OpenStack projects
Narjes Bessghaier, Ali Ouni, Mohammed Sayagh, et al.
Empirical Software Engineering (2025) Vol. 30, Iss. 3
Closed Access
Towards Reliable Infrastructure as Code
Daniel Sokolowski, Guido Salvaneschi
(2023), pp. 318-321
Closed Access | Times Cited: 8
Automated Infrastructure as Code Program Testing
Daniel Sokolowski, David Spielmann, Guido Salvaneschi
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 6, pp. 1585-1599
Closed Access | Times Cited: 3
Methodology For Automating And Orchestrating Performance Evaluation Of Kubernetes Container Network Interfaces
Vedran Dakić, Jasmin Redžepagić, Matej Basic, et al.
(2024)
Open Access | Times Cited: 3
Fine-Grained Just-In-Time Defect Prediction at the Block Level in Infrastructure-as-Code (IaC)
Mahi Begoug, Moataz Chouchen, Ali Ouni, et al.
(2024), pp. 100-112
Closed Access | Times Cited: 2
What Do Infrastructure-as-Code Practitioners Discuss: An Empirical Study on Stack Overflow
Mahi Begoug, Narjes Bessghaier, Ali Ouni, et al.
(2023), pp. 1-12
Closed Access | Times Cited: 5
Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation
Sunjae Kwon, Sungu Lee, Taehyoun Kim, et al.
Communications in computer and information science (2024), pp. 75-83
Closed Access | Times Cited: 1
The PIPr Dataset of Public Infrastructure as Code Programs
Daniel Sokolowski, David Spielmann, Guido Salvaneschi
(2024), pp. 498-503
Closed Access | Times Cited: 1
Infrastructure as code for dynamic deployments
Daniel Sokolowski
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022), pp. 1775-1779
Open Access | Times Cited: 6
An Introduction to Software Ecosystems
Tom Mens, Coen De Roover
Springer eBooks (2023), pp. 1-29
Closed Access | Times Cited: 2
Infrastructure-as-Code Ecosystems
Ruben Opdebeeck, Ahmed Zerouali, Coen De Roover
Springer eBooks (2023), pp. 215-245
Closed Access | Times Cited: 2
The Docker Hub Image Inheritance Network: Construction and Empirical Insights
Ruben Opdebeeck, Jonas Lesy, Ahmed Zerouali, et al.
(2023), pp. 198-208
Closed Access | Times Cited: 2
An empirical study of task infections in Ansible scripts
Akond Rahman, Dibyendu Brinto Bose, Yue Zhang, et al.
Empirical Software Engineering (2023) Vol. 29, Iss. 1
Closed Access | Times Cited: 2
Quality Assurance for Infrastructure Orchestrators: Emerging Results from Ansible
Yue Zhang, Muktadir Rahman, Fan Wu, et al.
(2023), pp. 1-3
Closed Access | Times Cited: 1
Characterizing Static Analysis Alerts for Terraform Manifests: An Experience Report
Hanyang Hu, Yani Bu, K.W. Wong, et al.
(2023), pp. 7-13
Closed Access | Times Cited: 1
When Your Infrastructure Is a Buggy Program: Understanding Faults in Infrastructure as Code Ecosystems
Georgios-Petros Drosos, Thodoris Sotiropoulos, Georgios Alexopoulos, et al.
Proceedings of the ACM on Programming Languages (2024) Vol. 8, Iss. OOPSLA2, pp. 2490-2520
Open Access
Towards a Taxonomy of Infrastructure as Code Misconfigurations: An Ansible Study
Rohollah Nasiri, Indika Kumara, Damian A. Tamburri, et al.
Communications in computer and information science (2024), pp. 83-103
Closed Access
Methodology for Automating and Orchestrating Performance Evaluation of Kubernetes Container Network Interfaces
Vedran Dakić, Jasmin Redžepagić, Matej Bašić, et al.
Computers (2024) Vol. 13, Iss. 11, pp. 283-283
Open Access
How Do Infrastructure-as-Code Practitioners Update their Provider Dependencies? An Empirical Study on the AWS Provider
Mahi Begoug, Ali Ouni
Lecture notes in computer science (2024), pp. 373-388
Closed Access
Research on Automated Operation and Maintenance Methods for Power Management Networks Based on Ansible
W.T. Sha, Minrong Wu, Yuyu Qiao
(2023), pp. 591-595
Closed Access
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