Proceedings of the Ninth Workshop on Program Analysis for Software Tools and Engineering
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Sorin Lerner, Atanas Rountev
Proceedings of the Ninth Workshop on Program Analysis for Software Tools and Engineering
PASTE, 2010.

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@proceedings{PASTE-2010,
	acmid         = "1806672",
	address       = "Toronto, Ontario, Canada",
	editor        = "Sorin Lerner and Atanas Rountev",
	isbn          = "978-1-4503-0082-7",
	publisher     = "{ACM}",
	title         = "{Proceedings of the Ninth Workshop on Program Analysis for Software Tools and Engineering}",
	year          = 2010,
}

Contents (12 items)

PASTE-2010-FlanaganF #concurrent #dynamic analysis #framework #source code
The RoadRunner dynamic analysis framework for concurrent programs (CF, SNF), pp. 1–8.
PASTE-2010-ReissK #thread #transaction #visualisation
Visualizing threads, transactions and tasks (SPR, SK), pp. 9–16.
PASTE-2010-HaC #communication #concurrent #dynamic analysis
Opportunities for concurrent dynamic analysis with explicit inter-core communication (JH, SPC), pp. 17–20.
PASTE-2010-RosenblumMZ #compilation
Extracting compiler provenance from program binaries (NER, BPM, XZ), pp. 21–28.
PASTE-2010-MizushimaMY #constant #parsing
Packrat parsers can handle practical grammars in mostly constant space (KM, AM, YY), pp. 29–36.
PASTE-2010-CalmanZ #analysis #induction #information retrieval #interprocedural
Interprocedural induction variable analysis based on interprocedural SSA form IR (SC, JZ), pp. 37–44.
PASTE-2010-NarayanappaBR
Property-aware program sampling (HN, MSB, HR), pp. 45–52.
PASTE-2010-IslamKBH #clustering #dependence
Coherent dependence clusters (SSI, JK, DB, MH), pp. 53–60.
PASTE-2010-Schmeelk #benchmark #detection #metric #towards
Towards a unified fault-detection benchmark (SS), pp. 61–64.
PASTE-2010-AyewahP #analysis #null
Null dereference analysis in practice (NA, WP), pp. 65–72.
PASTE-2010-Rubio-GonzalezL #documentation #fault
Expect the unexpected: error code mismatches between documentation and the real world (CRG, BL), pp. 73–80.
PASTE-2010-FengG #fault #learning #locality #modelling #probability
Learning universal probabilistic models for fault localization (MF, RG), pp. 81–88.

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