Prioritizing Critical Challenges for the Quality of Crowdsource Software Products

Abstract

Crowdsourcing is an online dispersed model for solving problems where the organizations utilize a vast number of commitments from internet users. Crowdsourcing platforms develop cheap labor ideas and administrations towards solving problems. However, sometimes crowdsourcing incorporates work from unqualified workers that subsequently brings up issues on the quality of crowdsourced developed products. Therefore, this study intends to identify various challenges in order to assure the quality of crowdsourced software products. Moreover, identified challenges have been prioritized following empirical investigation conducting a survey of experts. Different statistical models have been deployed in order to achieve the formulated objectives of the study. Investigations reflect that security, the privacy of data and lack of interaction between crowd and client have emerged as a most critical challenge in order to ensure the quality of crowdsourcing software product.