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Hybrid context-sensitivity for points-to analysis
Context-sensitive points-to analysis is valuable for achieving high precision with good performance. The standard flavors of contextsensitivity are call-site-sensitivity (kCFA) and object-sensitivity. Combining both flavors of context-sensitivity increases precision but at an infeasibly high cost. We show that a selective combination of call-site-and object-sensitivity for Java points-to analysis is highly profitable. Namely, by keeping a combined context only when analyzing selected languagedoi:10.1145/2499370.2462191 fatcat:dgxc2apntzgtxf7vz47y3hojly