Dynamic Simulation of Software Workers and Task Completion

Crowdsourcing usage, task assignment methods, and crowdsourcing platforms: A systematic literature review

“…1,17 Most of the companies leverage crowdsourcing in order to decrease the cost and the time to the market for the production of software's. 18 The scope of the software development has been greatly expand by the crowdsourcing platforms, which greatly enhances the software solutions. 19 The details of some of the papers are given in Table 11.…”

“…19 The details of some of the papers are given in Table 11. 20 Task recommendation in crowdsourcing systems 0.5 0 1 1 2.5 Mao et al 40 Pricing CSD tasks 0.5 1 1 1 3.5 Stol and Fitzgerald 41 CSD case study 1 0 0.5 0.5 2 Cheung et al 42 Distributed time-sensitive task selection 0.5 0 1 0.5 2 Saremi and Yang 18 Simulation of workers and task completion 0 1 0 1 2 Maalej and Ellmann 7 On the similarity of task contexts 0 1 0 0 1 Roy et al 24 Task assignment optimization 0.5 0 1 1 2.5 Qiu et al 26 Crowdsourcing tasks accuracy through behavior prediction and user selection 0.5 0.5 1 1 3 Alelyani and Yang 19 Software crowdsourcing and developers behavior study 0.5 1 1 1 3.5 Machado et al 4 Task allocation in crowdsourcing 0.5 1 1 0.5 3 Borromeo et al 43 Crowd and task influence on crowdsourced work quality 0.5 0.5 0 1 2 Yang et al 12 Dynamic decision support for crowd workers 1 1 1 0.5 3.5 Han et al 44 Budgeted task scheduling for crowdsourced knowledge acquisition 0.5 0 0 0.5 1 Li et al 45 Crowdsourced data management overview and challenges 1 1 0.5 1 3.5 Cui et al 28 Learning task allocation strategies 1 1 1 1 4 Wang et al 14 Recommending CSD by considering Skill Improvement 1 1 0.5 0.5 3 Sanagavarapu and Reddy 46 Crowdsourcing security-opportunities and challenges 0 0.5 0 1 1.5 Costa and Nascimento 37 In-route task selection in crowdsourcing 0.5 0 1 0.5 2 Jiang et al 47 Crowdsourcing task assignment based on workers quality 0.5 0 1 1 2.5 Shin and Paek 48 Task classification in crowdsourcing 0 0 0 1 1 Simão Filho et al 17 Task allocation in distributed SD 0.5 1 1 0 2.5 Pan et al 34 Recommendation of crowdsourcing tasks based on Word2vec semantic tags 0.5 0 1 1 2.5 Weidema et al 49 Toward microtask crowdsourcing software design work 0 0 0 1 1 Song et al 50 Task selection and allocation framework 1 0 1 0 2 Li et al 23 Crowdsourced data management: a survey 1 1 0 1 3 Zhang and Sugiyama 25 Task selection in crowdsourcing 1 1 1 0.5 3.5 Zhang et al 51 On reliable task as...…”

Characterizing the hyperspecialists in the context of crowdsourcing software development

“…Other studies analyze the contribution profile of software crowdsourcing participants. For example, Saremi and Yang [8] mention that more experienced members of Topcoder platform are more prone to work on tasks from internationally renowned companies or with high rewards. They point out that more experienced people produce more, increasing their odds to win challenges.…”

“…Crowdsourcing for software development benefits from the pool of globally distributed developers to accomplish tasks for companies from all around the world [7]. Crowdsourcing provides engaged participants with a way to earn money, notoriety, and even professional opportunities [8]. Companies find in crowdsourcing an economical and reliable way to develop software, relying on the "wisdom of crowds" [9] to accomplish tasks.…”

“…Due to the importance of the developers to the success of the crowdsourcing model, researchers have been discussing characteristics of contributions and the profile of crowdsourcing developers [10,11]. Although the studies found in the literature analyze some characteristics about the different ways to contribute [1,8], and there is an increasing number of studies related to crowdsourcing for software [12], much is still unknown about the contributor profile and the behavior of developers working in this type of environment.…”