Title
Use of context for recommending code: An approach based on frequent pattern mining
Date Issued
13 September 2016
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Association for Computing Machinery
Abstract
During creating a class, several times a developer must be conscious of regularities that should be complied in order to satisfy an intended architectural design. This paper presents an approach for code recommendation, which apply concepts of frequent pattern mining to take advantage of the use of naming conventions and the organization of source code in software development. The proposal has been evaluated in projects of the organizations Apache and Eclipse. The results have shown that significant terms and regularities, in form of frequent relationships, could be mined. The approach is particular in the sense that it enables using naming patterns and package hierarchies as context for recommending code.
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones
Hardware, Arquitectura de computadoras
Subjects
Scopus EID
2-s2.0-85014633263
Resource of which it is part
ACM International Conference Proceeding Series
ISBN of the container
9781450341196
Conference
17th International Conference on Human Computer Interaction, Interaccion 2016
Sources of information:
Directorio de Producción Científica
Scopus