Intelligent Software Development Environments: Integrating Natural Language Processing with the Eclipse Platform
|Title||Intelligent Software Development Environments: Integrating Natural Language Processing with the Eclipse Platform|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Witte, R., B. Sateli, N. Khamis, and J. Rilling|
|Editors||Butz, C., and P. Lingras|
|Conference Name||24th Canadian Conference on Artificial Intelligence (Canadian AI 2011)|
|Date Published||May 25–27|
|Conference Location||St. John's, Newfoundland and Labrador, Canada|
|Type of Work||Paper|
|Keywords||Eclipse, NLP, Semantic Assistants|
Software engineers need to be able to create, modify, and analyze knowledge stored in software artifacts. A significant amount of these artifacts contain natural language, like version control commit messages, source code comments, or bug reports. Integrated software development environments (IDEs) are widely used, but they are only concerned with structured software artifacts – they do not offer support for analyzing unstructured natural language and relating this knowledge with the source code. We present an integration of natural language processing capabilities into the Eclipse framework, a widely used software IDE. It allows to execute NLP analysis pipelines through the Semantic Assistants framework, a service-oriented architecture for brokering NLP services based on GATE. We demonstrate a number of semantic analysis services helpful in software engineering tasks, and evaluate one task in detail, the quality analysis of source code comments.
Copyright © 2011 Springer-Verlag. This is the author's version of the work. It is posted here by permission of Springer for your personal use. Not for redistribution.
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This research was partially funded by an NSERC Discovery Grant. The JavadocMiner was funded in part by a DRDC Valcartier grant (Contract No. W7701-081745/001/QCV).