Thu 8 Nov 2018 14:15 - 14:37 at Studio 2 - Static Analysis Chair(s): Karim Ali

Context sensitivity is an essential technique for ensuring high precision in Java pointer analyses. It has been observed that applying context sensitivity partially, only on a select subset of the methods, can improve the balance between analysis precision and speed. However, existing techniques are based on heuristics that do not provide much insight into what characterizes this method subset. In this work, we present a more principled approach for identifying precision-critical methods, based on general patterns of value flows that explain where most of the imprecision arises in context-insensitive pointer analysis. Accordingly, we provide an efficient algorithm to recognize these flow patterns in a given program and exploit them to yield good tradeoffs between analysis precision and speed.

Our experimental results on standard benchmark and real-world programs show that a pointer analysis that applies context sensitivity partially, only on the identified precision-critical methods, preserves effectively all (98.8%) of the precision of a highly-precise conventional context-sensitive pointer analysis (2-object-sensitive with a context-sensitive heap), with a substantial speedup (on average 3.4X, and up to 9.2X).

Thu 8 Nov
Times are displayed in time zone: (GMT-05:00) Guadalajara, Mexico City, Monterrey change

13:30 - 15:00: OOPSLA - Static Analysis at Studio 2
Chair(s): Karim AliUniversity of Alberta
splash-2018-OOPSLA13:30 - 13:52
Tamás Szabóitemis / TU Delft, Gábor BergmannBudapest University of Technology and Economics / MTA-BME Lendület Research Group on Cyber-Physical Systems, Hungary, Sebastian ErdwegTU Delft, Markus Völterindependent / itemis, Germany
splash-2018-OOPSLA13:52 - 14:15
Minseok JeonKorea University, South Korea, Sehun JeongKorea University, Hakjoo OhKorea University
splash-2018-OOPSLA14:15 - 14:37
Yue LiAarhus University, Denmark, Tian TanAarhus University, Denmark, Anders MøllerAarhus University, Yannis SmaragdakisUniversity of Athens
splash-2018-OOPSLA14:37 - 15:00
Girish Maskeri RamaInfosys Limited, Raghavan KomondoorIndian Institute of Science, Bangalore, Himanshu SharmaIndian Institute of Science, Bangalore