Program analyses detect errors in code but have to trade off precision, recall, and performance. However, when code changes frequently as in an IDE, repeated re-analysis from-scratch is unnecessary and leads to poor performance. Incremental program analysis promises to deliver fast feedback after a code change by deriving a new analysis result from the previous one, and prior work has shown that order-of-magnitude performance improvements are possible. However, existing frameworks for incremental program analysis only support Datalog-style relational analysis, but not lattice-based analyses that derive and aggregate lattice values. To solve this problem, we present the ILPA incremental program analysis framework that supports relational analyses and lattice-based computations. ILPA is based on a novel algorithm that enables the incremental maintenance of recursive lattice-value aggregation, which occurs when analyzing code with cyclic control flow by fixpoint iteration. To demonstrate our approach, we realized strong-update points-to analysis and string analyses for Java in ILPA and present performance measurements that demonstrate incremental analysis updates within milliseconds.
Thu 8 Nov Times are displayed in time zone: Guadalajara, Mexico City, Monterrey change
13:30 - 15:00 | |||
13:30 22mTalk | Incrementalizing Lattice-Based Program Analyses in Datalog OOPSLA 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 | ||
13:52 22mTalk | Precise and Scalable Points-to Analysis via Data-Driven Context Tunneling OOPSLA | ||
14:15 22mTalk | Precision-Guided Context Sensitivity for Pointer Analysis OOPSLA Yue LiAarhus University, Denmark, Tian TanAarhus University, Denmark, Anders MøllerAarhus University, Yannis SmaragdakisUniversity of Athens | ||
14:37 22mTalk | Refinement in object-sensitivity points-to analysis via slicing OOPSLA Girish Maskeri RamaInfosys Limited, Raghavan KomondoorIndian Institute of Science, Bangalore, Himanshu SharmaIndian Institute of Science, Bangalore |