Parameterized object sensitivity for points-to and side-effect analyses for Java

Author:

Milanova Ana1,Rountev Atanas1,Ryder Barbara G.1

Affiliation:

1. Rutgers University, New Brunswick, NJ

Abstract

The goal of points-to analysis for Java is to determine the set of objects pointed to by a reference variable or a reference objet field. Improving the precision of practical points-to analysis is important because points-to information has a wide variety of client applications in optimizing compilers and software engineering tools. In this paper we present object sensitivity, a new form of context sensitivity for flow-insensitive points-to analysis for Java. The key idea of our approach is to analyze a method separately for each of the objects on which this method is invoked. To ensure flexibility and practicality, we propose a parameterization framework that allows analysis designers to control the tradeoffs between cost and precision in the object-sensitive analysis. Side-effect analysis determines the memory locations that may be modified by the execution of a program statement. This information is needed for various compiler optimizations and software engineering tools. We present a new form of side-effect analysis for Java which is based on object-sensitive points-to analysis.We have implemented one instantiation of our parameterized object-sensitive points-to analysis. We compare this instantiation with a context-insensitive points-to analysis for Java which is based on Andersen's analysis for C [4]. On a set of 23 Java programs, our experiments show that the two analyses have comparable cost. In some cases the object-sensitive analysis is actually faster than the context-insensitive analysis. Our results also show that object sensitivity significantly improves the precision of side-effect analysis, call graph construction, and virtual call resolution. These experiments demonstrate that object-sensitive analyses can achieve significantly better precision than context-insensitive ones, while at the same time remaining efficient and practical.

Publisher

Association for Computing Machinery (ACM)

Cited by 49 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. Scaling Type-Based Points-to Analysis with Saturation;Proceedings of the ACM on Programming Languages;2024-06-20

2. Don’t Write, but Return: Replacing Output Parameters with Algebraic Data Types in C-to-Rust Translation;Proceedings of the ACM on Programming Languages;2024-06-20

3. When to Stop Going Down the Rabbit Hole: Taming Context-Sensitivity on the Fly;Proceedings of the 13th ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis;2024-06-20

4. Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis;IEEE Transactions on Software Engineering;2024-05

5. A Context-Sensitive Pointer Analysis Framework for Rust and Its Application to Call Graph Construction;Proceedings of the 33rd ACM SIGPLAN International Conference on Compiler Construction;2024-02-17

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