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Title
IDENTIFICATION AND MITIGATION OF CHALLENGES IN MACROTASK CROWDSOURCING
Author(s)
MUHAMMAD USMAN
Abstract
Crowdsourcing has become an evolution in which tasks are outsourced by open call format to large numbers of people to utilize collective intelligence. Macro-tasking crowdsourcing is used to resolve various complexities with different degrees of disintegration, assumes different expert level of knowledge in one or even more fields, and integrates adaptable. Processes for work management involving crowd involvement. Crowdsourcing should identify macro-tasking for tackling more complicated problems. Macro tasks could be defined as complicated multitasking that is often decomposable to micro tasks, though not always. Macrotask crowdsourcing has many advantages in every step of the software development life cycle due to its diversity of crowds, faster problem solving and significant cost savings but at the same time, there are many risks involved. Which affects the success of crowdsourcing in software development life cycle. In this search first of all we will identify all the challenges macrotask crowdsourcing through systematic literature review from the literature and then we will propose the mitigation plan to mitigate the challenges that causes the harm to the macrotask crowdsourcing system and approaches to prevent these challenges achieve goals of software macrotask crowdsourcing. We will use the mixed methodology of systematic literature review, qualitative and quantitative analysis to get our results. Systematic literature review will be used to identify the challenges of macrotask crowdsourcing and then we will confirm it from industry by doing the survey and then we will do the focus group to verify it from the experts. Our results will identify the challenges that causes the harm to software crowdsourcing and the mitigation plan to remove them to achieve the maximum results for macrotask crowdsourcing. Our research will cover the gap of identification of challenges of macrotask crowdsourcing and its mitigation plan to help all the stakeholders in the industry to achieve maximum results in the macrotask crowdsourcing projects. In the future phase we will implement these mitigation strategies in the industry .
Type
Thesis/Dissertation MS
Faculty
Engineering and Computer Science
Department
Engineering
Language
English
Publication Date
2022-01-13
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90a8904a40.pdf
2022-04-05 09:45:03
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