By Topic

Acquisition of ERA models from data intensive code

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Yang, H. ; Dept. of Comput. Sci., De Montfort Univ., Leicester, UK ; Bennett, K.

We describe a solution to the acquisition of entity relationship attribute (ERA) diagrams from data-intensive source code. In such programs, relationships between data items are often represented within imperative code, as well as within data structures, and we show that reverse engineering can be improved if both are used. This distinguishes our work from others in the field. Our method is based on formal transformations. We identify imperative constructs which improve the high-level ERA models that it is possible to capture. Suitable transformations are then briefly summarised. A series of experiments with industrial COBOL programs is described. Our results show that code-embedded relations can usefully be incorporated into data intensive reverse engineering, and enhance the designs extracted

Published in:

Software Maintenance, 1995. Proceedings., International Conference on

Date of Conference:

17-20 Oct 1995