A state-of-the-art of Empirical Literature of Crowdsourcing in Computing

被引：5

作者：

Ambreen, Talat ^{[1
]}

Ikram, Naveed ^{[2
]}

机构：

[1] Int Islamic Univ, IIUI, Dept Comp Sci & Software Engn, Islamabad, Pakistan

[2] Riphah Int Univ, Fac Comp, Islamabad, Pakistan

来源：

2016 IEEE 11TH INTERNATIONAL CONFERENCE ON GLOBAL SOFTWARE ENGINEERING (ICGSE) | 2016年

关键词：

crowdsourcing; systematic mapping study; empirical; software; computing;

D O I：

10.1109/ICGSE.2016.37

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

this paper aims at representing a state-of-the-art of crowdsourcing, along with various trends and opportunities of empirical research of crowdsourcing in computing field of study. A systematic mapping study (SMS) methodology has been employed to synthesize the empirical work done in crowdsourcing. This paper is based on the results generated from 400 primary studies of the SMS. The initial results of this SMS suggest that the crowdsourcing in Computing is not a field in its inception phase, rather; this field has matured considerably, with in less than a decade of empirical research. The paper highlights important trends in empirical crowdsourcing research along with gaps and opportunities for the researchers.

引用

页码：189 / 190

页数：2

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