Abstract
Software engineers produce code that has formal syntax and semantics, which establishes its formal meaning. However it also includes significant natural language found in identifier names and comments. Additionally, programmers not only work with source code but also with a variety of software artifacts, predominantly written in natural language. Examples include documentation, requirements, test plans, bug reports, and peer-to-peer communications. It is increasingly evident that natural language information can play a key role in improving a variety of software engineering tools used during the design, development, debugging, and testing of software.The focus of the NaturaLiSE workshop is on natural language analysis of software artifacts. This workshop will bring together researchers and practitioners interested in exploiting natural language informationfound in software artifacts to create improved software engineering tools. Relevant topics include (but are not limited to) natural language analysis applied to software artifacts, combining natural language and traditional program analysis, integration of natural language analyses into client tools, mining natural language data, and empirical studies focused on evaluating the usefulness of natural language analysis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
