A Quality Control Model for the Crowdsourced Software Products

Abstract

Crowdsourcing in general is an online distributed model for solving problems where the organizations use a large number of contributions from Internet users for ideas and services towards problem-solving. Crowdsourcing assists to divide work into tasks for contributors to achieve desired results and increase the performance of platforms. Crowdsourcing embraces cheap labor that means less credible output and low-quality products. Therefore, this study aims to propose a novel quality control model in order to control the quality of crowdsourced products. An exploratory model of research has been conducted to explore state-of-the-art literature regarding the quality of crowdsourced software products. The proposed quality control model comprises five blocks at a higher level including crowdsourcing organization, workers management, task initialization, quality control approaches, and incentive policies. Each of the proposed blocks further consists of various layers to monitor the quality of the crowdsourced software product. A roadmap is also formulated to assist crowdsource organizations in order to improve the quality of developed crowdsource products.