Yokohama

Artifact Evaluation Criteria

Artifact Evaluation Criteria


Important Dates
Abstract Submission Deadline:
   May 21, 2026 (firm)
Paper Submission Deadline:
   May 26, 2026 (firm)
Author Response Period:
   July 13-17, 2026
Notification:
   July 25, 2026
Artifact Submission Deadline:
   August 21, 2026
Hot Topic Day:
   December 8, 2026
Conference:
   December 9-11, 2026

Evaluation Criteria for Artifact Evaluation

The RTSS 2026 artifact evaluation criteria are similar to those previously used by other conferences in their repeatability and AE processes. Submissions will be judged based on three criteria—coverage, instructions, and quality, as defined below—where each criterion is assessed on the following scale:

Each artifact is evaluated independently by multiple evaluators according to the listed objective criteria. In order to be judged “repeatable”, an artifact must generally “meet expectations” (average score of 3 or more), and must not have any missing elements (no scores of 1). The higher scores (“exceeds” or “significantly exceeds expectations”) will be considered aspirational goals, not requirements for acceptance.

Coverage

What fraction of the appropriate figures and tables are reproduced by the artifact?

The focus is on figures or tables in the paper containing computationally generated or processed experimental evidence used to support the claims of the paper. Other figures and tables, such as illustrations or tables listing only parameter values, are not considered in this assessment.

Note that satisfying this criterion does not require that the corresponding figures or tables be recreated in exactly the same format as they appear in the paper, merely that the data underlying those figures or tables be generated faithfully in a recognizable format.

A repeatable element is one for which the computation can be rerun by following the instructions provided with the artifact in a suitably equipped environment. Furthermore, an extensible element is one for which variations of the original computation can be run by modifying elements of the code and/or data. Consequently, necessary conditions for extensibility include that the modifiable elements be identified in the instructions or documentation, and that all source code must be available and/or involve calls to commonly available and trusted software (e.g.: Windows, macOS, Linux, C or Python standard libraries, Matlab).

The categories for this criterion are:

Instructions

This criterion is focused on the instructions intended for other practitioners that seek to recreate the paper’s computationally generated results. The categories for this criterion are:

Quality

This criterion explores the means provided to infer, show, or prove trustworthiness of the software and its results. While a set of scripts which exactly recreate, for example, the figures from the paper certainly aid in repeatability, without well-documented code it is hard to understand how the data in that figure was processed, without well-documented data it is hard to determine whether the input is correct, and without testing it is hard to determine whether the results can be trusted.

If there are tests in the artifact which are not included in the paper, they should at least be mentioned in the instructions document. Documentation of test details can be put into the instructions document or into a separate document in the artifact.

The categories for this criterion are: