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  1. Automated Software Engineering
  2. Automated Software Engineering : Volume 15
  3. Automated Software Engineering : Volume 15, Issue 3-4, December 2008
  4. Model driven code checking
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Automated Software Engineering : Volume 24
Automated Software Engineering : Volume 23
Automated Software Engineering : Volume 22
Automated Software Engineering : Volume 21
Automated Software Engineering : Volume 20
Automated Software Engineering : Volume 19
Automated Software Engineering : Volume 18
Automated Software Engineering : Volume 17
Automated Software Engineering : Volume 16
Automated Software Engineering : Volume 15
Automated Software Engineering : Volume 15, Issue 3-4, December 2008
A final editorial
What is software?
Automated software engineering: supporting understanding
Model driven code checking
Reasoning about programs via operational semantics: requirements for a support system
A journey to highly dynamic, self-adaptive service-based applications
The socio-economics of software architecture
Rethinking software design in participation cultures
Personal reflections on automation, programming culture, and model-based software engineering
Desert Island Column
Automated Software Engineering : Volume 15, Issue 2, June 2008
Automated Software Engineering : Volume 15, Issue 1, March 2008
Automated Software Engineering : Volume 14
Automated Software Engineering : Volume 13
Automated Software Engineering : Volume 12
Automated Software Engineering : Volume 11
Automated Software Engineering : Volume 10
Automated Software Engineering : Volume 9
Automated Software Engineering : Volume 8
Automated Software Engineering : Volume 7
Automated Software Engineering : Volume 6
Automated Software Engineering : Volume 5
Automated Software Engineering : Volume 4

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Model driven code checking

Content Provider Springer Nature Link
Author Holzmann, Gerard J. Joshi, Rajeev Groce, Alex
Copyright Year 2008
Abstract Model checkers were originally developed to support the formal verification of high-level design models of distributed system designs. Over the years, they have become unmatched in precision and performance in this domain. Research in model checking has meanwhile moved towards methods that allow us to reason also about implementation level artifacts (e.g., software code) directly, instead of hand-crafted representations of those artifacts. This does not mean that there is no longer a place for the use of high-level models, but it does mean that such models are used in a different way today. In the approach that we describe here, high-level models are used to represent the environment for which the code is to be verified, but not the application itself. The code of the application is now executed as is by the model checker, while using powerful forms of abstraction on-the-fly to build the abstract state space that guides the verification process. This model-driven code checking method allows us to verify implementation level code efficiently for high-level safety and liveness properties. In this paper, we give an overview of the methodology that supports this new paradigm of code verification.
Starting Page 283
Ending Page 297
Page Count 15
File Format PDF
ISSN 09288910
Journal Automated Software Engineering
Volume Number 15
Issue Number 3-4
e-ISSN 15737535
Language English
Publisher Springer US
Publisher Date 2008-09-06
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Software verification Logic model checking Spin model checker Embedded C code Software Engineering/Programming and Operating Systems Artificial Intelligence (incl. Robotics)
Content Type Text
Resource Type Article
Subject Software
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