Proceedings of the 38th International Conference on Software Engineering Companion 2016
DOI: 10.1145/2889160.2892659
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Guiding the crowds for Android testing

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Cited by 8 publications
(6 citation statements)
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“…[15] Crowd development 1 1 0 [40] CrowdService: Serving the individuals through mobile crowdsourcing and service composition 0 1 1 [41] Crowdsourced software development: Exploring the motivational and inhibiting factors of the South African crowd 1 1 0 [42] Efficient worker selection through history-based learning in crowdsourcing 1 1 1 [24] Estimating software task effort in crowds 1 0 1 [43] Guiding the crowds for android testing 1 1 0 [44] Leveraging crowdsourcing for team elasticity: An empirical evaluation at TopCoder 1 0 1 [45] Leveraging the power of the crowd for software testing 0 1 1 [22] Supporting coordination in crowdsourced software testing services 1 1 1 [13] Task allocation for crowdsourcing using AI planning 1 1 1 [4] Toward microtask crowdsourcing software design work 0 1 1 [28] Toward adopting alternative workforce for software engineering 1 0 1 [17] Virtual team performance in crowdsourcing contest: A social network perspective 1 1 0 [46] Who should be selected to perform a task in crowdsourced testing? 1 0 1 [47] Worker ranking determination in crowdsourcing platforms using aggregation functions 1 1 1 [48] A fuzzy expert system to trust-based access control in crowdsourcing environments 1 1 1 [49] A survey of the use of crowdsourcing in software engineering 1 1 1 [3] A systematic literature review on crowdsourcing in software engineering 1 1 1 [50] An incentive mechanism with privacy protection in mobile crowdsourcing systems 1 1 1 [51] A system for scalable and reliable technical-skill testing in online labor markets 1 0 1 [52] Auction-based crowdsourcing supporting skill management 1 1 1 [18] Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget 1 1 0 [31] Catering to the crowd: An HRM perspective on crowd worker engagement 0 1 1 [53] CloudTeams: Bridging the gap between developers and customers during software development processes 1 1 1 [54] Competition matters!…”
Section: Significant Features Of Crowd In Crowdsourcing (Rq1)mentioning
confidence: 99%
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“…[15] Crowd development 1 1 0 [40] CrowdService: Serving the individuals through mobile crowdsourcing and service composition 0 1 1 [41] Crowdsourced software development: Exploring the motivational and inhibiting factors of the South African crowd 1 1 0 [42] Efficient worker selection through history-based learning in crowdsourcing 1 1 1 [24] Estimating software task effort in crowds 1 0 1 [43] Guiding the crowds for android testing 1 1 0 [44] Leveraging crowdsourcing for team elasticity: An empirical evaluation at TopCoder 1 0 1 [45] Leveraging the power of the crowd for software testing 0 1 1 [22] Supporting coordination in crowdsourced software testing services 1 1 1 [13] Task allocation for crowdsourcing using AI planning 1 1 1 [4] Toward microtask crowdsourcing software design work 0 1 1 [28] Toward adopting alternative workforce for software engineering 1 0 1 [17] Virtual team performance in crowdsourcing contest: A social network perspective 1 1 0 [46] Who should be selected to perform a task in crowdsourced testing? 1 0 1 [47] Worker ranking determination in crowdsourcing platforms using aggregation functions 1 1 1 [48] A fuzzy expert system to trust-based access control in crowdsourcing environments 1 1 1 [49] A survey of the use of crowdsourcing in software engineering 1 1 1 [3] A systematic literature review on crowdsourcing in software engineering 1 1 1 [50] An incentive mechanism with privacy protection in mobile crowdsourcing systems 1 1 1 [51] A system for scalable and reliable technical-skill testing in online labor markets 1 0 1 [52] Auction-based crowdsourcing supporting skill management 1 1 1 [18] Best of both worlds: Mitigating imbalance of crowd worker strategic choices without a budget 1 1 0 [31] Catering to the crowd: An HRM perspective on crowd worker engagement 0 1 1 [53] CloudTeams: Bridging the gap between developers and customers during software development processes 1 1 1 [54] Competition matters!…”
Section: Significant Features Of Crowd In Crowdsourcing (Rq1)mentioning
confidence: 99%
“…ey are competent workers [16,39,63] who utilize common sense [68] in various tasks. Crowds are smart [25,27], educated/ qualified [1,13,42], professionals [71,75], having skills (skillful workers) [2, 8, 10, 12, 14, 17, 26, 28, 37, 48, 51, 54, 56, 57, 59-61, 67, 76-78], expertise [58,59,81,82], experience [14,17,19,24,43,46,47,53,76] who possess knowledge [2, 8, 11, 13-15, 17, 19, 22, 30, 35, 38, 49, 55, 60, 61, 68, 70, 71, 75, 76] for getting a task done [35]. Workers may be cooperative [12], collaborative [21,39,76].…”
Section: Significant Features Of Crowd In Crowdsourcing (Rq1)mentioning
confidence: 99%
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“…However, laboratory experiments are also amongst the research methods chosen (e.g., [35], [36]). Next to experiments, the development and evaluation of prototypes for different CST scenarios and purposes was applied in five papers (e.g., [37], [38]). Only five papers (e.g., [11], [39] conducted case studies related to CST in a real-world context.…”
Section: Figure 2: Number Of Publications Per Outletmentioning
confidence: 99%