Title :
CSCC: Simple, Efficient, Context Sensitive Code Completion
Author :
Asaduzzaman, Muhammad ; Roy, Chanchal K. ; Schneider, Kevin A. ; Daqing Hou
Author_Institution :
Dept. of Comput. Sci., Univ. of Saskatchewan, Saskatoon, SK, Canada
fDate :
Sept. 29 2014-Oct. 3 2014
Abstract :
Code Completion helps developers learn APIs and frees them from remembering every detail. In this paper, we describe a novel technique called CSCC (Context Sensitive Code Completion) for improving the performance of API method call completion. CSCC is context sensitive in that it uses new sources of information as the context of a target method call. CSCC indexes method calls in code examples by their contexts. To recommend completion proposals, CSCC ranks candidate methods by the similarities between their contexts and the context of the target call. Evaluation using a set of subject systems and five popular state of-the-art techniques suggests that CSCC performs better than existing type or example-based code completion systems. We also investigate how the different contextual elements of the target call benefit CSCC.
Keywords :
application program interfaces; software engineering; API method call completion; CSCC indexes method; context sensitive code completion; example-based code completion systems; type-based code completion systems; Context; FCC; Hamming distance; Indexes; Libraries; Proposals; Receivers; code completion; code example; recommendation; simhash;
Conference_Titel :
Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on
Conference_Location :
Victoria, BC
DOI :
10.1109/ICSME.2014.29