Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Generalizing the Edge-Finder Rule for the Cumulative Constraint
Authors: Vincent Gingras, Claude-Guy Quimper
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments show that these algorithms are competitive with the stateof-the-art algorithms, by doing a greater ๏ฌltering and having a faster runtime. |
| Researcher Affiliation | Academia | Vincent Gingras Universit e Laval, Qu ebec, QC, Canada EMAIL Claude-Guy Quimper Universit e Laval, Qu ebec, QC, Canada EMAIL |
| Pseudocode | Yes | Algorithm 1: Schedule Tasks( , c); Algorithm 2: Overload Check(I, C); Algorithm 3: Detection(I, C); Algorithm 4: Detect Precedences( , h, h, lct); Algorithm 5: Adjustment(Prec, C); Algorithm 6: Compute Bound(i, , ovmax) |
| Open Source Code | No | The paper does not contain any statement about releasing source code or provide any links to a code repository for the methodology described. |
| Open Datasets | Yes | We implemented the algorithms for the Choco 2 solver and tried them on the benchmarks BL [Baptiste and Le Pape, 2000] and PSPLib [Kolisch and Sprecher, 1997] of Resource Constrained Project Scheduling Problems (RCPSP). |
| Dataset Splits | No | The paper mentions using benchmark suites but does not provide specific dataset split information (exact percentages, sample counts, or detailed splitting methodology) for training, validation, or testing. |
| Hardware Specification | Yes | All experiments were run on an Intel Xeon X5560 2.667GHz quad-core processor. |
| Software Dependencies | Yes | We implemented the algorithms for the Choco 2 solver |
| Experiment Setup | Yes | We used three different branching heuristics: a static variable and value ordering, Dom Over WDeg [Boussemart et al., 2004], and Impact Based Search [Refalo, 2004]. |