How well do experienced software developers predict software change?
Journal of Systems and Software
API documentation from source code comments: a case study of Javadoc
SIGDOC '99 Proceedings of the 17th annual international conference on Computer documentation
Source Code Documentation: An Engineering Deliverable
TOOLS '00 Proceedings of the Technology of Object-Oriented Languages and Systems (TOOLS 34'00)
/*icomment: bugs or bad comments?*/
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
A metric for software readability
ISSTA '08 Proceedings of the 2008 international symposium on Software testing and analysis
Semantic Assistants --- User-Centric Natural Language Processing Services for Desktop Clients
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
Listening to programmers Taxonomies and characteristics of comments in operating system code
ICSE '09 Proceedings of the 31st International Conference on Software Engineering
Automatic quality assessment of source code comments: the JavadocMiner
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
Natural language processing: mature enough for requirements documents analysis?
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Data & Knowledge Engineering
Hi-index | 0.00 |
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.