The Auspicious Couple: Symbolic Execution and WCET Analysis
Paper in proceeding, 2013

We have recently shown that symbolic execution together with the implicit path enumeration technique can successfully be applied in the Worst-Case Execution Time (WCET) analysis of programs. Symbolic execution offers a precise framework for program analysis and tracks complex program properties by analyzing single program paths in isolation. This path-wise program exploration of symbolic execution is, however, computationally expensive, which often prevents full symbolic analysis of larger applications: the number of paths in a program increases exponentially with the number of conditionals, a situation denoted as the path explosion problem. Therefore, for applying symbolic execution in the timing analysis of programs, we propose to use WCET analysis as a guidance for symbolic execution in order to avoid full symbolic coverage of the program. By focusing only on paths or program fragments that are relevant for WCET analysis, we keep the computational costs of symbolic execution low. Our WCET analysis also profits from the precise results derived via symbolic execution. In this article we describe how use-cases of symbolic execution are materialized in the r-TuBound toolchain and present new applications of WCET-guided symbolic execution for WCET analysis. The new applications of selective symbolic execution are based on reducing the effort of symbolic analysis by focusing only on relevant program fragments. By using partial symbolic program coverage obtained by selective symbolic execution, we improve the WCET analysis and keep the effort for symbolic execution low.

decision procedures

automated reasoning

program verification

symbolic execution

timing analysis

formal methods

program analysis

Author

Armin Biere

Johannes Kepler University of Linz (JKU)

Jens Knoop

Vienna University of Technology

Laura Kovacs

Chalmers, Computer Science and Engineering (Chalmers), Software Technology (Chalmers)

Jakob Zwirchmayr

Vienna University of Technology

OpenAccess Series in Informatics

21906807 (ISSN)

Vol. 30 53-63
978-3-939897-54-5 (ISBN)

Areas of Advance

Information and Communication Technology

Subject Categories

Computer and Information Science

Software Engineering

Computer Science

DOI

10.4230/OASIcs.WCET.2013.53

ISBN

978-3-939897-54-5

More information

Latest update

10/5/2023