arbiter
JournalsAccount

Reproducibility Report for the Paper: "A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach"

Emilio Incerto & Romolo Marotta

ACM Transactions on Modeling and Computer Simulation2025https://doi.org/10.1145/3715113article
AJG 3ABDC B
Weight
0.50

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.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1145/3715113

Or copy a formatted citation

@article{emilio2025,
  title        = {{Reproducibility Report for the Paper: "A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach"}},
  author       = {Emilio Incerto & Romolo Marotta},
  journal      = {ACM Transactions on Modeling and Computer Simulation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1145/3715113},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Reproducibility Report for the Paper: "A Toolset for Predicting Performance of Legacy Real-Time Software Based on the RAST Approach"

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.