You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Mapping of State Machines to Code: Potentials and Challenges

Publication Type:

Conference/Workshop Paper

Venue:

The Ninth International Conference on Software Engineering Advances

Publisher:

IARIA


Abstract

There is a big number of testing methods which are based on the state machine formalism. State machines serve as a strong means in behavior modeling of computer systems. However, this strength is lost as we go down the abstraction level from models to code. This is essentially due to the inherent semantic gap between state machine models and code, and that it is generally a challenging task to track states and transitions at runtime. In this paper we discuss the benefits and challenges of having a mechanism for mapping state machines to code. The main intention with such a mechanism is to enable tracking of state changes at runtime. As we explain in this paper, the mapping provides for several important testing features such as verifying the actual runtime behavior of the system against its state machine models. Its importance becomes further emphasized remembering that model-based static analysis techniques rely on models as the source of information and design assumptions, and therefore any mismatch between the actual behavior of the system and its models can also imply invalidation of the analysis results.

Bibtex

@inproceedings{Saadatmand3668,
author = {Mehrdad Saadatmand and Antonio Cicchetti},
title = {Mapping of State Machines to Code: Potentials and Challenges},
isbn = {978-1-61208-367-4},
pages = {247--251},
month = {October},
year = {2014},
booktitle = {The Ninth International Conference on Software Engineering Advances},
publisher = {IARIA},
url = {http://www.es.mdu.se/publications/3668-}
}