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» Evaluating the imprecision of static analysis
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ICS
1993
Tsinghua U.
13 years 10 months ago
Static and Dynamic Evaluation of Data Dependence Analysis
—Data dependence analysis techniques are the main component of today’s strategies for automatic detection of parallelism. Parallelism detection strategies are being incorporate...
Paul Petersen, David A. Padua
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 3 days ago
Error-Aware Density-Based Clustering of Imprecise Measurement Values
Manufacturing process development is under constant pressure to achieve a good yield for stable processes. The development of new technologies, especially in the field of photoma...
Dirk Habich, Peter Benjamin Volk, Wolfgang Lehner,...
ISIPTA
2003
IEEE
111views Mathematics» more  ISIPTA 2003»
13 years 11 months ago
The DecideIT Decision Tool
The nature of much information available to decision makers is vague and imprecise, be it information for human managers in organisations or for process agents in a distributed co...
Mats Danielson, Love Ekenberg, Jim Johansson, Aron...
ACSC
2004
IEEE
13 years 9 months ago
Adaptive Cooperative Fuzzy Logic Controller
Fuzzy logic is a natural basis for modelling and solving problems involving imprecise knowledge and continuous systems. Unfortunately, fuzzy logic systems are invariably static (o...
Justin Ammerlaan, David Wright
ASPLOS
2004
ACM
13 years 11 months ago
HOIST: a system for automatically deriving static analyzers for embedded systems
Embedded software must meet conflicting requirements such as being highly reliable, running on resource-constrained platforms, and being developed rapidly. Static program analysi...
John Regehr, Alastair Reid