Cart (Loading....) | Create Account
Close category search window
 

Analysing source code: looking for useful verb-direct object pairs in all the right places

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 $31
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

5 Author(s)
Fry, Z.P. ; Comput. & Inf. Sci., Delaware Univ., Newark, DE ; Shepherd, D. ; Hill, E. ; Pollock, L.
more authors

The large time and effort devoted to software maintenance can be reduced by providing software engineers with software tools that automate tedious, error-prone tasks. However, despite the prevalence of tools such as IDEs, which automatically provide program information and automated support to the developer, there is considerable room for improvement in the existing software tools. The authors' previous work has demonstrated that using natural language information embedded in a program can significantly improve the effectiveness of various software maintenance tools. In particular, precise verb information from source code analysis is useful in improving tools for comprehension, maintenance and evolution of object-oriented code, by aiding in the discovery of scattered, action-oriented concerns. However, the precision of the extraction analysis can greatly affect the utility of the natural language information. The approach to automatically extracting precise natural language clues from source code in the form of verb- direct object (DO) pairs is described. The extraction process, the set of extraction rules and an empirical evaluation of the effectiveness of the automatic verb-DO pair extractor for Java source code are described.

Published in:

Software, IET  (Volume:2 ,  Issue: 1 )

Date of Publication:

February 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.