Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/37953
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Abreu, Rui | por |
dc.contributor.author | Cardoso, Nuno | por |
dc.date.accessioned | 2015-11-03T18:33:46Z | - |
dc.date.available | 2015-11-03T18:33:46Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | https://hdl.handle.net/1822/37953 | - |
dc.description.abstract | 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 STACCATO, 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 STACCATO 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. | por |
dc.language.iso | eng | por |
dc.rights | openAccess | por |
dc.title | An efficient distributed algorithm for computing minimal hitting sets | por |
dc.type | conferencePaper | por |
dc.peerreviewed | yes | por |
sdum.publicationstatus | published | por |
oaire.citationTitle | 25th International Workshop on Principles of Diagnosis | por |
sdum.conferencePublication | 25th International Workshop on Principles of Diagnosis | por |
Aparece nas coleções: |