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Reproducibility Report for the Paper: QN-based Modeling and Analysis of Software Performance Antipatterns for Cyber-Physical Systems

2021/04/20 by Alessandro Pellegrini, Pellegrini, Alessandro
Computer Science · Mathematics · #Advanced Software Engineering Methodologies #Computer science #Cyber-physical system #Data science #FOS: Computer and information sciences #Mathematics #Operating system #Performance (cs.PF) #Reproducibility #Software #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability #Software engineering #Statistics #cs.PF #cs.SE

paper · pdf · doi:10.48550/arxiv.2104.10030

published in arXiv (Cornell University) (Cornell University)

arxiv created 2021/04/20 · openalex publication_date 2021/04/20 · arxiv updated 2021/04/21 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

The authors have uploaded their artifact to Zenodo, which ensures a long-term retention of the artifact. The artifact allows to re-run the experiments very smoothly, and the dependencies are well documented. The process to regenerate data for the figures and tables in the paper completes, and all results are reproducible. This paper can thus receive the Artifacts Available badge. The software in the artifact runs correctly with no trouble, and is relevant to the paper, thus deserving the Artifacts Evaluated -- Functional badge. Given the successful reproduction of all figures and tables, the Results Reproduced badge can be assigned.

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