Thu 29 Oct 2015 17:06 - 17:30 at Grand Station 1 - 8. Static Analysis Chair(s): Werner Dietl

Building a cost-effective static analyser for real-world programs is still regarded an art. One key contributor to this grim reputation is the difficulty in balancing the cost and the precision of an analyser. An ideal analyser should be adaptive to a given analysis task, and avoid using techniques that unnecessarily improve precision and increase analysis cost. However, achieving this ideal is highly nontrivial, and it requires a large amount of engineering efforts. In this paper we present a new approach for building an adaptive static analyser. In our approach, the analyser includes a sophisticated parameterised strategy that decides, for each part of a given program, whether to apply a precision-improving technique to that part or not. We present a method for learning a good parameter for such a strategy from an existing codebase via Bayesian optimisation. The learnt strategy is then used for new, unseen programs. Using our approach, we developed partially flow- and context-sensitive variants of a realistic C static analyser. The experimental results demonstrate that using Bayesian optimisation is crucial for learning from an existing codebase. Also, they show that among all program queries that require flow- or context-sensitivity, our partially flow- and context-sensitive analysis answers the 75% of them, while increasing the analysis cost only by 3.3x of the baseline flow- and context-insensitive analysis, rather than 40x or more of the fully sensitive version.

Thu 29 Oct

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15:30 - 17:30
8. Static AnalysisOOPSLA at Grand Station 1
Chair(s): Werner Dietl University of Waterloo
15:30
24m
Talk
Static Analysis of Event-Driven Node.js JavaScript Applications
OOPSLA
Magnus Madsen University of Waterloo, Frank Tip Samsung Research America, Ondřej Lhoták University of Waterloo
DOI Media Attached
15:54
24m
Talk
EXPLORER : Query- and Demand-Driven Exploration of Interprocedural Control Flow Properties
OOPSLA
Yu Feng University of Texas at Austin, USA, Xinyu Wang UT Austin, Işıl Dillig University of Texas at Austin, USA, Calvin Lin University of Texas at Austin, USA
Pre-print Media Attached
16:18
24m
Talk
Giga-Scale Exhaustive Points-To Analysis for Java in Under a MinuteOOPSLA Artifact
OOPSLA
Jens Dietrich Massey University, New Zealand, Nicholas Hollingum University of Sydney, Australia, Bernhard Scholz Oracle Labs, Australia
DOI Media Attached
16:42
24m
Talk
Galois Transformers and Modular Abstract Interpreters: Reusable Metatheory for Program Analysis
OOPSLA
David Darais University of Maryland, College Park, Matthew Might University of Utah, USA, David Van Horn University of Maryland at College Park, USA
DOI Media Attached
17:06
24m
Talk
Learning a Strategy for Adapting a Program Analysis via Bayesian Optimisation
OOPSLA
Hakjoo Oh Korea University, South Korea, Hongseok Yang University of Oxford, UK, Kwangkeun Yi Seoul National University, South Korea
DOI Media Attached