Assertion-based slicing and slice graphs

Author:

Barros José Bernardo1,da Cruz Daniela1,Henriques Pedro Rangel1,Pinto Jorge Sousa1

Affiliation:

1. Departamento de Informática/CCTC, Universidade do Minho, Campus de Gualtar, 4710-057, Braga, Portugal

Abstract

Abstract This paper revisits the idea of slicing programs based on their axiomatic semantics, rather than using criteria based on control/data dependencies. We show how the forward propagation of preconditions and the backward propagation of postconditions can be combined in a new slicing algorithm that is more precise than the existing specification-based algorithms. The algorithm is based on (a) a precise test for removable statements, and (b) the construction of a slice graph , a program control flow graph extended with semantic labels and additional edges that “short-circuit” removable commands. It improves on previous approaches in two aspects: it does not fail to identify removable commands; and it produces the smallest possible slice that can be obtained (in a sense that will be made precise). Iteration is handled through the use of loop invariants and variants to ensure termination. The paper also discusses in detail applications of these forms of slicing, including the elimination of (conditionally) unreachable and dead code, and compares them to other related notions.

Publisher

Association for Computing Machinery (ACM)

Subject

Theoretical Computer Science,Software

Cited by 7 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. Slicing of probabilistic programs based on specifications;Science of Computer Programming;2022-08

2. Using Relational Verification for Program Slicing;Software Engineering and Formal Methods;2019

3. Cut branches before looking for bugs: certifiably sound verification on relaxed slices;Formal Aspects of Computing;2018-01

4. SemSlice: Exploiting Relational Verification for Automatic Program Slicing;Lecture Notes in Computer Science;2017

5. Computing Specification-Sensitive Abstractions for Program Verification;Dependable Software Engineering: Theories, Tools, and Applications;2016

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