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  1. FME Workshop on Formal Methods in Software Engineering (FormaliSE).
  2. 2013 1st FME Workshop on Formal Methods in Software Engineering (FormaliSE)
  3. An integrated data model verifier with property templates
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2013 1st FME Workshop on Formal Methods in Software Engineering (FormaliSE)
Contents
FME workshop on Formal Methods in Software Engineering FormaliSE 2013
Though this be madness, yet there is method in it? (Keynote)
Do you speak Z? Formal methods under the perspective of a cross-cultural adaptation problem
Functional SMT solving with Z3 and racket
Trace based reachability verification for statecharts
An integrated data model verifier with property templates
Towards a formalism-based toolkit for automotive applications
Recommendations for improving the usability of formal methods for product lines
Lightweight formal models of software weaknesses
Automatic validation of infinite real-time systems
A framework for the rigorous design of highly adaptive timed systems

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An integrated data model verifier with property templates

Content Provider IEEE Xplore Digital Library
Author Nijjar, J. Bocic, I. Bultan, T.
Copyright Year 2013
Description Author affiliation: Univ. of California, Santa Barbara, Santa Barbara, CA, USA (Nijjar, J.; Bocic, I.; Bultan, T.)
Abstract Most modern web applications are built using development frameworks based on the Model-View-Controller (MVC) pattern. In MVC-based web applications the data model specifies the types of objects used by the application and the relations among them. Since the data model forms the foundation of such applications, its correctness is crucial. In this paper we present a tool, IDAVER, that 1) automatically extracts a formal data model specification from applications implemented using the Ruby on Rails framework, 2) provides templates for specifying data model properties, 3) automatically translates the verification of properties specified using these templates to satisfiability queries in three different logics, and 4) uses automated decision procedures and theorem provers to identify which properties are satisfied by the data model, and 5) reports counterexample instances for the properties that fail. Our tool achieves scalable automated verification by exploiting the modularity in the MVC pattern. IDAVER does not require formal specifications to be written manually; thus, our tool enables automated verification and increases the usability by combining automated data model extraction with template-based property specification.
Starting Page 29
Ending Page 35
File Size 364176
Page Count 7
File Format PDF
ISBN 9781467362924
DOI 10.1109/FormaliSE.2013.6612274
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date 2013-05-25
Publisher Place USA
Access Restriction Subscribed
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Rails Object oriented modeling Metals Data models Data mining Usability Videos
Content Type Text
Resource Type Article
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