Analyzing Developer Behavior and Community Structure in Software Crowdsourcing

Zhang, Hui; Wu, Yuchuan; Wu, Wenjun

doi:10.1007/978-3-662-46578-3_117

Cited by 10 publications

(4 citation statements)

References 9 publications

(8 reference statements)

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“…Most studies thus far have focused on analyses of the "crowd" (i.e., developers) and crowdsourcing platforms (e.g. [152], [155]), but very little attention has been paid to the customer's perspective. To address this gap, this article presents a multi-method study on competition-based crowdsourcing software development from a customer perspective.…”

Section: Conclusion and Future Researchmentioning

confidence: 99%

“…Crowdsourcing has received considerable interest from researchers in disciplines such as human-computer interaction and information systems, and more recently in software engineering (see Mao et al [97] for an extensive overview). Thus far, most studies have presented analyses of developers and platforms including AMT and Topcoder [8], [152], [151], [155]. However, very few studies have studied crowdsourcing from a customer perspective, as a practical alternative approach to outsourcing software development.…”

Section: Introductionmentioning

confidence: 99%

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Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective

Stol

Çağlayan²,

Fitzgerald

2019

IIEEE Trans. Software Eng.

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Crowdsourcing is emerging as an alternative outsourcing strategy which is gaining increasing attention in the software engineering community. However, crowdsourcing software development involves complex tasks which differ significantly from the micro-tasks that can be found on crowdsourcing platforms such as Amazon Mechanical Turk which are much shorter in duration, are typically very simple, and do not involve any task interdependencies. To achieve the potential benefits of crowdsourcing in the software development context, companies need to understand how this strategy works, and what factors might affect crowd participation. We present a multi-method qualitative and quantitative theory-building research study. Firstly, we derive a set of key concerns from the crowdsourcing literature as an initial analytical framework for an exploratory case study in a Fortune 500 company. We complement the case study findings with an analysis of 13,602 crowdsourcing competitions over a ten-year period on the very popular Topcoder crowdsourcing platform. Drawing from our empirical findings and the crowdsourcing literature, we propose a theoretical model of crowd interest and actual participation in crowdsourcing competitions. We evaluate this model using Structural Equation Modeling. Among the findings are that the level of prize and duration of competitions do not significantly increase crowd interest in competitions.

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Section: Conclusion and Future Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective

Stol

Çağlayan²,

Fitzgerald

2019

IIEEE Trans. Software Eng.

View full text Add to dashboard Cite

show abstract

“…Some of the existing studies on developers in crowdsourced software development focus on the statistical analysis of developers' behavior data [22][23][24]. In the literature [25], Dubey A et al analyzed crowd developer's characteristics on Topcoder.com and upwork.com to predict the quality of tasks As shown in Figure 1, according to the requirements, the platform decomposes a large software project to several components, posts these components on Topcoder.com as tasks, and obtains high quality solutions through competition.…”

Section: Research On Crowd Workersmentioning

confidence: 99%

Section: Research On Crowd Workersmentioning

confidence: 99%

A Data-Driven Game Theoretic Strategy for Developers in Software Crowdsourcing: A Case Study

Liao

Zhang

et al. 2019

Applied Sciences

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Crowdsourcing has the advantages of being cost-effective and saving time, which is a typical embodiment of collective wisdom and community workers’ collaborative development. However, this development paradigm of software crowdsourcing has not been used widely. A very important reason is that requesters have limited knowledge about crowd workers’ professional skills and qualities. Another reason is that the crowd workers in the competition cannot get the appropriate reward, which affects their motivation. To solve this problem, this paper proposes a method of maximizing reward based on the crowdsourcing ability of workers, they can choose tasks according to their own abilities to obtain appropriate bonuses. Our method includes two steps: Firstly, it puts forward a method to evaluate the crowd workers’ ability, then it analyzes the intensity of competition for tasks at Topcoder.com—an open community crowdsourcing platform—on the basis of the workers’ crowdsourcing ability; secondly, it follows dynamic programming ideas and builds game models under complete information in different cases, offering a strategy of reward maximization for workers by solving a mixed-strategy Nash equilibrium. This paper employs crowdsourcing data from Topcoder.com to carry out experiments. The experimental results show that the distribution of workers’ crowdsourcing ability is uneven, and to some extent it can show the activity degree of crowdsourcing tasks. Meanwhile, according to the strategy of reward maximization, a crowd worker can get the theoretically maximum reward.

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Human Interface and the Management of Information. Interacting with Information

Saremi

Desai

et al. 2020

Lecture Notes in Computer Science

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material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Analyzing Developer Behavior and Community Structure in Software Crowdsourcing

Cited by 10 publications

References 9 publications

Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective

Competition-Based Crowdsourcing Software Development: A Multi-Method Study from a Customer Perspective

A Data-Driven Game Theoretic Strategy for Developers in Software Crowdsourcing: A Case Study

Human Interface and the Management of Information. Interacting with Information

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