Prompter: A Self-Confident Recommender System

Author

Ponzanelli, Luca ; Bavota, Gabriele ; Di Penta, Massimiliano ; Oliveto, Rocco ; Lanza, Mario

Author_Institution

REVEAL @ Fac. of Inf., Univ. of Lugano, Lugano, Switzerland

fYear

2014

fDate

Sept. 29 2014-Oct. 3 2014

Firstpage

577

Lastpage

580

Abstract

Developers often consult different sources of information like Application Programming Interfaces (API) documentation, forums, Q&A websites, etc. With the aim of gathering additional knowledge for the programming task at hand. The process of searching and identifying valuable pieces of information requires developers to spend time and energy in formulating the right queries, assessing the returned results, and integrating the obtained knowledge into the code base. All of this is often done manually. We present Prompter, a plug-in for the Eclipse IDE which automatically searches and identifies relevant Stack Overflow discussions, evaluates their relevance given the code context in the IDE, and notifies the developer if and only if a user-defined confidence threshold is surpassed.

Keywords

query processing; recommender systems; Eclipse IDE; Prompter; code base; programming task; self-confident recommender system; stack overflow discussions; user-defined confidence threshold; Context; Context modeling; Observers; Programming; Recommender systems; Servers; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Maintenance and Evolution (ICSME), 2014 IEEE International Conference on

Conference_Location

Victoria, BC

ISSN

1063-6773

Type

conf

DOI

10.1109/ICSME.2014.99

Filename

6976143