Data and code package for CERT-FJSP computational-evidence reporting experiments

Description

This dataset provides the public data and code package for the CERT-FJSP computational-evidence reporting experiments. CERT-FJSP is a solver-agnostic reporting and traceability framework for already-generated flexible job shop scheduler outputs. The package supports artifact-level inspection and partial reproduction of the manuscript-supporting empirical summaries, including projection-ambiguity metrics, tuple-ablation information-retention outputs, reporting-baseline comparison, reference-policy sensitivity, global-versus-regime masking, and practical interpretive scenario summaries. The archive contains selected Python scripts, supporting source modules, frozen public-facing output artifacts, expected-output documentation, schema and field glossary material, selection-protocol documentation for the 322 inspected tuple-bearing rows, and a 19-dimension retention-scoring rubric. It does not contain manuscript draft files, manuscript source files, cover-letter materials, response-to-reviewers files, or internal planning materials. The package is intended for data/code transparency and reproducibility support. It is not a flexible job shop solver, not a benchmark suite, not a solver-selection tool, not a fallback-control package, not regulatory certification, and not independent evidence approval.

Steps to reproduce

1. Download and extract the archive. 2. Read the root-level README.md and PACKAGE_MANIFEST.md files to understand the package scope, included files, and claim boundaries. 3. Install the Python dependencies listed in requirements.txt in a clean Python environment. 4. Inspect the documentation files under docs/, especially: - schema_and_field_glossary.md - frozen_manuscript_evidence_index.md - expected_output_checklist.md - selection_protocol_322_tuple_rows.md - wp32_retention_scoring_rubric_19_dimensions.md 5. Use the selected scripts under scripts/ together with the released outputs under outputs/real_runs/ to inspect or partially reproduce the manuscript-supporting computational-evidence summaries. 6. Compare regenerated or inspected outputs against the files listed in expected_outputs/ and the expected-output checklist. 7. Interpret all outputs within the documented claim boundaries. The package supports artifact-level inspection and partial reproduction of the reporting, traceability, projection, sensitivity, and masking summaries. It is not a solver implementation, benchmark suite, solver-selection tool, fallback-control package, regulatory certification package, or independent evidence-approval package.

Institutions

• University of Pannonia

  Veszprém, Veszprém

Categories

Licence