dc.creatorRosner, Nicolás
dc.creatorGeldenhuys, Jaco
dc.creatorAguirre, Nazareno Matías
dc.creatorVisser, Willem
dc.date2016-09
dc.date2016-12-05
dc.date2016-12-05T17:09:13Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/57306
dc.identifierhttp://45jaiio.sadio.org.ar/sites/default/files/asse-26.pdf
dc.identifierissn:2451-7593
dc.descriptionIn this article we present BLISS, a novel technique that builds upon BLI, extending it with field bound refinement and satisfiability checks. Field bounds are refined while a symbolic structure is concretized, avoiding cases that, due to the concrete part of the heap and the field bounds, can be deemed redundant. Satisfiability checks on refined symbolic heaps allow us to prune these heaps as soon as it can be confirmed that they cannot be extended to any valid concrete heap. Compared to LI and BLI, BLISS reduces the time required by LI by up to 4 orders of magnitude for the most complex data structures. Moreover, the number of partially symbolic structures obtained by exploring program paths is reduced by BLISS by over 50%, with reductions of over 90% in some cases (compared to LI). BLISS uses less memory than LI and BLI, which enables the exploration of states unreachable by previous techniques.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-sa/3.0/
dc.rightsCreative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0)
dc.subjectCiencias Informáticas
dc.subjectBounded Lazy Initialization (BLI)
dc.titleBLISS: Improved Symbolic Execution by Bounded Lazy Initialization with SAT Support
dc.typeObjeto de conferencia
dc.typeResumen


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