During software maintenance, programmers commonly read and modify other's code. While programming language syntax and semantics convey the algorithm to be executed, natural language found in identifier names and comments express higher-level conceptual algorithmic aspects and domain concepts behind the implementation. Particularly appropriate for analysis that involves associated software artifacts such as the requirements or bug reports, textual information plays an increasingly key role in a variety of software engineering tools, including search, navigation, debugging, and testing.
Recently, there has been a significant amount of interest in applying Text Analysis techniques to software. This workshop will bring researchers and practitioners together to showcase the current research in the field and increase communication and collaboration among researchers working on exploiting software's natural-language information. The goal of this workshop is provide a five-year roadmap by first establishing the state of the art and then developing research goals for the next five years. We aim to provide a vivid forum for discussion about the field of text analysis in software maintenance.
More information is available on the workshop web site: