DIETs: Recommender Systems for Mobile API Developers

Author

Beyer, Stefanie

Author_Institution

Univ. of Klagenfurt, Klagenfurt, Austria

Volume

2

fYear

2015

Firstpage

859

Lastpage

862

Abstract

The increasing number of posts related to mobile app development indicates unaddressed problems in the usage of mobile APIs. Arguing that these problems result from in- adequate documentation and shortcomings in the design and implementation of the APIs, the goal of this research is to develop and evaluate two developers´ issues elimination tools (DIETs) for mobile API developers to diminish the problems of mobile applications (apps) development.After categorizing the problems, we investigate their causes, by exploring the relationships between the topics and trends of posts on Stack Overflow, the app developers´ experience, the API and test code, and its changes. The results of these studies will be used to develop two DIETs that support API developers to improve the documentation, design, and implementation of their APIs.

Keywords

application program interfaces; mobile computing; recommender systems; system documentation; DIET; Stack Overflow; app developer experience; developer issues elimination tool; mobile API developers; mobile app development; mobile application development; recommender systems; system documentation; test code; Androids; Data mining; Documentation; Humanoid robots; Mobile communication; Smart phones; Software engineering; api; mobile api developers; recommender systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on

Conference_Location

Florence

Type

conf

DOI

10.1109/ICSE.2015.278

Filename

7203099