Application safety enhancement model using self-checking with software enzymes

Chandrasekaran Subramaniam; Arthi Ravishankar; Deepthi Gopal; Dhaarini Subramanian

doi:10.1117/12.920392

13 January 2012 Application safety enhancement model using self-checking with software enzymes

Chandrasekaran Subramaniam, Arthi Ravishankar, Deepthi Gopal, Dhaarini Subramanian

Proceedings Volume 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis; 83492T (2012) https://doi.org/10.1117/12.920392
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

The objective of the paper is to propose a safety enhancement model for application software in accelerating the respective self checking strategies similar to bio enzymatic actions. The application software components which are safety critical may have to be assessed periodically or on demand to achieve not only the functional correctness but also the safety specifications or features while getting executed. The design and deployment of such software modules can be formally verified for possible safety flaws using self checking capabilities and software enzymatic actions. The self checks must sense the safety holes in the software and decide to activate the built-in software components called enzymes to do the safe guard operations in a timely manner to mitigate the safety faults using the proposed enzyme calculus. The various application hazards due to the boolean faults in the functional and behavioral model that lead to software safety issues are considered in this approach.

Citation Download Citation

Chandrasekaran Subramaniam, Arthi Ravishankar, Deepthi Gopal, and Dhaarini Subramanian "Application safety enhancement model using self-checking with software enzymes", Proc. SPIE 8349, Fourth International Conference on Machine Vision (ICMV 2011): Machine Vision, Image Processing, and Pattern Analysis, 83492T (13 January 2012); https://doi.org/10.1117/12.920392

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available