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Title
A MECHANISM FOR TASK DECOMPOSITION OF MICROTASKING IN CROWDSOURCED SOFTWARE DEVELOPMENT
Author(s)
Maira Zulfiqar
Abstract
A Mechanism for Task Decomposition of Microtasking in Crowdsourced Software Development Software crowdsourcing has reshaped the form of software development and gained more importance in recent years. Microtasking is one of the models of crowdsourcing which involves the decomposition of complex task into the number of simple, short and self-contained tasks (microtasks). It has been observed that it is difficult for microtasking platforms to define the criteria for decomposition of task into microtasks. Less research has focused to microtasking in software crowdsourcing for the development of task decomposition mechanism. This research fills this gap by focusing on enlisting the task decomposition methods and microtasking activities which exist in crowdsourced software development. Systematic Literature Review has been conducted to identify the task decomposition methods and microtasking activities. A total of 70 research articles are reviewed in systematic review, 72 microtasking activities and 14 task decomposition methods are found. Expert review has been conducted to validate the naming conventions and positioning of identified microtasking activities in their specific microtasking categories. Identified task decomposition methods are compared to check if these are suitable to decompose dependent, independent and hybrid tasks into microtasks. Literature has revealed that no existing task decomposition method can decompose all types of tasks i.e., dependent, independent and hybrid tasks. This study fills this gap by proposing the Hybrid model which can decompose dependent, independent and hybrid tasks into microtasks. Proposed task decomposition model is iterative in nature which can be useful for crowdsourcing and microtasking platforms.
Type
Thesis/Dissertation MS
Faculty
Engineering and Computer Science
Department
Engineering
Language
English
Publication Date
2022-01-04
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de617190d0.pdf
2022-01-19 14:57:43
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