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

04/20/2021
by   Alessandro Pellegrini, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/11/2020

Reproducibility Report for the Paper: Modeling of Request Cloning in Cloud Server Systems using Processor Sharing

The authors have uploaded their artifact on Zenodo, which ensures a long...
research
02/07/2020

Assuring Automotive Data and Software Integrity Employing Distributed Hash Tables and Blockchain

Automotive software is increasingly complex and critical to safe vehicle...
research
04/10/2023

Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts

Requirements quality literature abounds with publications presenting art...
research
04/06/2018

Dronology: An Incubator for Cyber-Physical System Research

Research in the area of Cyber-Physical Systems (CPS) is hampered by the ...
research
09/01/2022

Reproducibility Companion Paper: Describing Subjective Experiment Consistency by p-Value P-P Plot

In this paper we reproduce experimental results presented in our earlier...
research
12/09/2022

Boosting Extra-functional Code Reusability in Cyber-physical Production Systems: The Error Handling Case Study

Cyber-Physical Production Systems (CPPS) are long-living and mechatronic...
research
11/16/2017

Database Normalization Debt: A Debt-Aware Approach to Reason about Normalization Decisions in Database Design

Technical debt is a metaphor that describes the long term effects of sho...

Please sign up or login with your details

Forgot password? Click here to reset