Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1109/HASE.2010.20guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Reverse Engineering Abstract Components for Model-Based Development and Verification of Embedded Software

Published: 03 November 2010 Publication History
  • Get Citation Alerts
  • Abstract

    Model-driven development (MDD) and verification approaches are highly desirable in the development of (safety-critical) embedded systems, since they help to identify functional or non-functional issues from the early development stage when verification complexity is relatively lower than that of the implemented systems. Nevertheless, MDD approaches have not been widely adopted in practice mainly due to the difficulty and high initial cost of switching the development paradigm from code-centric to model-driven. This work presents a systematic method for reverse engineering abstract models from embedded codes using the notion of abstract components which act as independent units of development, validation, and verification. The recursive reverse engineering process constructs high-level abstract components from low-level ones using synchronized abstraction and projection abstraction, defined w.r.t. the information on port dependency and port bindings. This approach is demonstrated with reverse-engineered TinyOS, where each abstract component is validated and verified using model simulation and model checking.

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image Guide Proceedings
    HASE '10: Proceedings of the 2010 IEEE 12th International Symposium on High-Assurance Systems Engineering
    November 2010
    171 pages
    ISBN:9780769542928

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 03 November 2010

    Author Tag

    1. Reverse-engineering, component, abstraction

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 0
      Total Downloads
    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 27 Jul 2024

    Other Metrics

    Citations

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media