Parameterizations of Test Cover with Bounded Test Sizes
Robert Crowston, Gregory Gutin, Mark Jones, Gabriele Muciaccia, Anders, Yeo

TL;DR
This paper investigates the parameterized complexity of the Test Cover problem with bounded test sizes, showing fixed-parameter tractability for certain parameters and establishing a new lower bound on test cover size.
Contribution
It introduces fixed-parameter algorithms with polynomial kernels for Test-r-Cover when parameterized by solution size, and establishes a new lower bound on minimal test cover size.
Findings
Fixed-parameter tractability with polynomial kernels for specific parameters.
A new lower bound on the minimum size of test covers with bounded edges.
Proving para-NP-completeness for parameterized above the lower bound.
Abstract
In the {\sc Test Cover} problem we are given a hypergraph with , and we assume that is a test cover, i.e. for every pair of vertices , there exists an edge such that . The objective is to find a minimum subset of which is a test cover. The problem is used for identification across many areas, and is NP-complete. From a parameterized complexity standpoint, many natural parameterizations of {\sc Test Cover} are either -complete or have no polynomial kernel unless , and thus are unlikely to be solveable efficiently. However, in practice the size of the edges is often bounded. In this paper we study the parameterized complexity of {\sc Test--Cover}, the restriction of {\sc Test Cover} in which each edge contains at most …
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Graph Theory Research · Ubiquitin and proteasome pathways · Genomics and Chromatin Dynamics
