# Solving Multi-Configuration Problems: A Performance Analysis with Choco Solver

arXiv: https://arxiv.org/abs/2310.02658 · HTML: https://mlsanity.com/paper/2310.02658/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 16 references that are in the map.
- First posted on arXiv 4 Oct 2023.

## Builds on (most cited first, 2 of 2)

- [Learning Software Configuration Spaces: A Systematic Literature Review](https://mlsanity.com/paper/1906.03018/) (2019)
- [Configuring Multiple Instances with Multi-Configuration](https://mlsanity.com/paper/2109.09696/) (2021)

## Abstract (arXiv)

In many scenarios, configurators support the configuration of a solution that satisfies the preferences of a single user. The concept of multi-configuration is based on the idea of configuring a set of configurations. Such a functionality is relevant in scenarios such as the configuration of personalized exams, the configuration of project teams, and the configuration of different trips for individual members of a tourist group (e.g., when visiting a specific city). In this paper, we exemplify the application of multi-configuration for generating individualized exams. We also provide a constraint solver performance analysis which helps to gain some insights into corresponding performance issues.