Higher-order Demand-driven Program Analysis

Author:

Facchinetti Leandro1,Palmer Zachary2ORCID,Smith Scott1

Affiliation:

1. The Johns Hopkins University

2. Swarthmore College, PA

Abstract

Developing accurate and efficient program analyses for languages with higher-order functions is known to be difficult. Here we define a new higher-order program analysis, Demand-Driven Program Analysis (DDPA), which extends well-known demand-driven lookup techniques found in first-order program analyses to higher-order programs. This task presents several unique challenges to obtain good accuracy, including the need for a new method for demand-driven lookup of non-local variable values. DDPA is flow- and context-sensitive and provably polynomial-time. To efficiently implement DDPA, we develop a novel pushdown automaton metaprogramming framework, the Pushdown Reachability automaton. The analysis is formalized and proved sound, and an implementation is described.

Funder

CAPES Fellowship

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Story of Your Lazy Function’s Life: A Bidirectional Demand Semantics for Mechanized Cost Analysis of Lazy Programs;Proceedings of the ACM on Programming Languages;2024-08-15

2. A Pure Demand Operational Semantics with Applications to Program Analysis;Proceedings of the ACM on Programming Languages;2024-04-29

3. Trace-based control-flow analysis;Proceedings of the 42nd ACM SIGPLAN International Conference on Programming Language Design and Implementation;2021-06-18

4. Unbound: Releasing Inequality’s Grip on Our Economy;Review of Radical Political Economics;2020-09-22

5. Higher-order demand-driven symbolic evaluation;Proceedings of the ACM on Programming Languages;2020-08-02

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