The examined paper introduces a tool for predicting performance of legacy real-time software based on the RAST Approach. The artifact evaluated in this report is well documented and allows to easily reproduce the computational results presented in the article. Additionally, the artifact is hosted on permanent repositories, ensuring a long-term retention. This paper can thus receive the Artifacts Available, Artifacts Evaluated–Functional, and Artifact Validated–Results Reproduced badges.
Reproducibility report for the paper: "A toolset for predicting performance of legacy real-time software based on the RAST approach"
Incerto Emilio;
2025
Abstract
The examined paper introduces a tool for predicting performance of legacy real-time software based on the RAST Approach. The artifact evaluated in this report is well documented and allows to easily reproduce the computational results presented in the article. Additionally, the artifact is hosted on permanent repositories, ensuring a long-term retention. This paper can thus receive the Artifacts Available, Artifacts Evaluated–Functional, and Artifact Validated–Results Reproduced badges.File in questo prodotto:
| File | Dimensione | Formato | |
|---|---|---|---|
|
3715113.pdf
accesso aperto
Descrizione: Reproducibility Report for the Paper: "A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach"
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
1.18 MB
Formato
Adobe PDF
|
1.18 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
