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+ | **Mining Source Code Descriptions from Developer Communications** | ||
+ | \\ Sebastiano Panichella,Jairo Aponte, Massimiliano Di Penta,Andrian Marcus,Gerardo Canfora | ||
+ | \\ Dept. of Engineering-RCOST, University of Sannio, Italy | ||
+ | \\ Universidad Nacional de Colombia, Bogota, Colombia | ||
+ | \\ Wayne State University, Detroit USA | ||
+ | |||
[[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6240510|Link]] | [[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6240510|Link]] | ||
+ | |||
+ | ** Problem:** | ||
+ | \\ Absence of comments/descriptions for methods. | ||
+ | |||
+ | **Importance/Applications of the technique:** | ||
+ | \\ Automatic mining of source code descriptions from bug tracking systems and mailing lists. | ||
+ | \\ Source code re-documentation. | ||
+ | |||
+ | |||
+ | **Approach:** | ||
+ | \\ 1. Downloading emails and tracing them onto classes- using 2 heuristics- if email contains fully qualified class name or file name. For bug ids-matching bug id to closing comments. | ||
+ | \\ 2. Extracting paragraphs based on programming language keyword/operator density. | ||
+ | \\ 3. Tracing paragraphs onto method based on occurrence of keyword "method" and a method name followed by parenthesis. | ||
+ | \\ 4. Filtering paragraphs further by - return types, over-ridding/overloading and method invocations(invoking a method inside another method). | ||
+ | \\ 5. Computing textual similarities between paragraphs and methods and ranking them based on similarity measure. | ||
+ | |||
+ | |||
+ | ** | ||
+ | Evaluation:** | ||
+ | |||
+ | |||
+ | |||
+ | **Critique** |