Publication Type
Report
Version
publishedVersion
Publication Date
11-2007
Abstract
Model checking is a major approach in ensuring software correctness. It verifies a model converted from code against some formal properties. However, difficulties and programmers ’ reluctance to formalize formal properties have been some hurdles to its widespread industrial adoption. Also, with the advent of commercial off-the-shelf (COTS) components provided by third party vendors, model checking is further challenged as often only a binary version of the code is provided by vendors. Interestingly, latest instrumentation tools like PIN and Valgrind have enable execution traces to be collected dynamically from a running program. In this preliminary study, we investigate what can be done with model checking tools when code, model and properties are not available and the only available input is execution traces. Specifically, we combine studies on learning automata from traces and learning temporal properties from traces. The preliminary study suggests an automatic way to discover bugs using model checking tools when only execution traces are available.
Keywords
preliminary study, model checking, formal property, model checking tool, execution trace, software correctness, available input, binary version, temporal property, commercial off-the-shelf, automatic way, enable execution trace, instrumentation tool, widespread industrial adoption, major approach, third party vendor
Discipline
Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
5th Asian Symposium on Programming Languages and Systems (APLAS) (Poster Track), November 29 - December 1
First Page
1
Last Page
2
City or Country
Singapore
Citation
LO, David and KHOO, Siau-Cheng.
Model Checking in the Absence of Code, Model and Properties. (2007). 5th Asian Symposium on Programming Languages and Systems (APLAS) (Poster Track), November 29 - December 1. 1-2.
Available at: https://ink.library.smu.edu.sg/sis_research/1279
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.3425