mlsanityData to 14 Oct 2026

Tight Lower Bounds for the Workflow Satisfiability Problem Based on the Strong Exponential Time Hypothesis

arXiv 1508.06829 ↗First posted 27 Aug 2015cs.DS cs.CC cs.CRcited by 1

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Abstract (arXiv)

The Workflow Satisfiability Problem (WSP) asks whether there exists an assignment of authorized users to the steps in a workflow specification, subject to certain constraints on the assignment. The problem is NP-hard even when restricted to just not equals constraints. Since the number of steps k is relatively small in practice, Wang and Li (2010) introduced a parametrisation of WSP by k. Wang and Li (2010) showed that, in general, the WSP is W[1]-hard, i.e., it is unlikely that there exists a fixed-parameter tractable (FPT) algorithm for solving the WSP. Crampton et al. (2013) and Cohen et al. (2014) designed FPT algorithms of running time O^*(2k) and O^*(2klog2 k) for the WSP with so-called regular and user-independent constraints, respectively. In this note, we show that there are no algorithms of running time O^*(2ck) and O^*(2cklog2 k) for the two restrictions of WSP, respectively, with any c<1, unless the Strong Exponential Time Hypothesis fails.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 27 Aug 2015.

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