<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Rui Abreu</style></author><author><style face="normal" font="default" size="100%">Cardoso, Nuno</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Efficient Distributed Algorithm for Computing Minimal Hitting Sets</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 25th International Workshop on Principles of Diagnosis (DX’14)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">September</style></date></pub-dates></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://haslab.uminho.pt/sites/default/files/ruimaranhao/files/dx14_mon_pm_s1_paper1.pdf</style></url></related-urls></urls><pub-location><style face="normal" font="default" size="100%">Graz, Austria</style></pub-location><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Computing minimal hitting sets for a collection of sets is an important problem in many domains (e.g., Spectrum-based Fault Localization). Being an NP-Hard problem, exhaustive algorithms are usually prohibitive for real-world, often large, problems. In practice, the usage of heuristic based approaches trade-off completeness for time efficiency. An example of such heuristic approaches is S TACCATO, which was proposed in the context of reasoning-based fault localization. In this paper, we propose an efficient distributed algorithm, dubbed MHS2, that renders the sequential search algorithm S TACCATO suitable to distributed, Map-Reduce environments. The results show that MHS2 scales to larger systems (when compared to STACCATO), while entailing either marginal or small run time overhead.&lt;/p&gt;
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