Article

Researching crowdsourcing software development: perspectives and concerns

Authors:

Klaas-Jan Stol,

Brian FitzgeraldAuthors Info & Claims

CSI-SE 2014: Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering

Pages 7 - 10

https://doi.org/10.1145/2593728.2593731

Published: 02 June 2014 Publication History

Abstract

Crowdsourcing is an emerging form of `outsourcing’ software development. While there has been considerable research in the area of crowdsourcing in general, very little research has focused specifically on how crowdsourcing works in a software development context, and as far as we know, there have been no published studies of crowdsourcing software development from a customer perspective. Based on a review of the literature, we identified a number of key concerns related to crowdsourcing that are of particular importance in a software development context. Furthermore, we observed a number of recurring key stakeholders, or actors, each of whom has a unique perspective on crowdsourcing. This paper presents a research framework that consists of the various combinations of stakeholders and key concerns. The framework can be used to guide future research on the use of crowdsourcing as a `sourcing’ strategy, as well as a means to review and synthesize research findings so as to be able to compare studies on crowdsourcing in a software development context.

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Cited By

Hasteer NSindhwani RBehl AVarshney ASharma A(2023)Exploring the inhibitors for competitive AI software development through cloud driven transformationAnnals of Operations Research10.1007/s10479-023-05619-5Online publication date: 18-Oct-2023
https://doi.org/10.1007/s10479-023-05619-5
Pal K(2022)Markov Decision Theory-Based Crowdsourcing Software Process ModelResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch010(194-211)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3702-5.ch010
Haqbani OAlyahya S(2022)Supporting Coordination among Participants in Crowdsourcing Software Design2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA54885.2022.9806724(132-139)Online publication date: 25-May-2022
https://doi.org/10.1109/SERA54885.2022.9806724
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Index Terms

Researching crowdsourcing software development: perspectives and concerns
1. General and reference
  1. Cross-computing tools and techniques
    1. Metrics
2. Social and professional topics
  1. Professional topics
    1. Computing and business
    2. Management of computing and information systems
      1. Software management

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cover image ACM Conferences

CSI-SE 2014: Proceedings of the 1st International Workshop on CrowdSourcing in Software Engineering

June 2014

18 pages

ISBN:9781450328579

DOI:10.1145/2593728

Copyright � 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 02 June 2014

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ICSE '14: 36th International Conference on Software Engineering

June 2, 2014

Hyderabad, India

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Cited By

Hasteer NSindhwani RBehl AVarshney ASharma A(2023)Exploring the inhibitors for competitive AI software development through cloud driven transformationAnnals of Operations Research10.1007/s10479-023-05619-5Online publication date: 18-Oct-2023
https://doi.org/10.1007/s10479-023-05619-5
Pal K(2022)Markov Decision Theory-Based Crowdsourcing Software Process ModelResearch Anthology on Agile Software, Software Development, and Testing10.4018/978-1-6684-3702-5.ch010(194-211)Online publication date: 2022
https://doi.org/10.4018/978-1-6684-3702-5.ch010
Haqbani OAlyahya S(2022)Supporting Coordination among Participants in Crowdsourcing Software Design2022 IEEE/ACIS 20th International Conference on Software Engineering Research, Management and Applications (SERA)10.1109/SERA54885.2022.9806724(132-139)Online publication date: 25-May-2022
https://doi.org/10.1109/SERA54885.2022.9806724
Pal K(2020)Markov Decision Theory-Based Crowdsourcing Software Process ModelCrowdsourcing and Probabilistic Decision-Making in Software Engineering10.4018/978-1-5225-9659-2.ch001(1-22)Online publication date: 2020
https://doi.org/10.4018/978-1-5225-9659-2.ch001
Mejorado DSaremi RYang YRamirez-Marquez J(2020)Study on Patterns and Effect of Task Diversity in Software CrowdsourcingProceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)10.1145/3382494.3410689(1-10)Online publication date: 5-Oct-2020
https://dl.acm.org/doi/10.1145/3382494.3410689
Bibi SZozas IAmpatzoglou ASarigiannidis PKalampokis GStamelos I(2020)Crowdsourcing in Software Development: Empirical Support for Configuring ContestsIEEE Access10.1109/ACCESS.2020.29826198(58094-58117)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2982619
Hasteer NBansal AMurthy B(2019)Barriers to crowdsource software developmentInternational Journal of Business Information Systems10.1504/ijbis.2019.10307032:2(127-144)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1504/ijbis.2019.103070
Illahi ILiu HUmer QZaidi S(2019)An Empirical Study on Competitive Crowdsource Software Development: Motivating and Inhibiting FactorsIEEE Access10.1109/ACCESS.2019.29156047(62042-62057)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2915604
Yu DZhou ZWang Y(2019)Crowdsourcing Software Task Assignment Method for Collaborative DevelopmentIEEE Access10.1109/ACCESS.2019.29050547(35743-35754)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2905054
Binzagr FMedjahed B(2018)CrowdMashup: Recommending Crowdsourcing Teams for Mashup DevelopmentService-Oriented Computing10.1007/978-3-030-03596-9_49(679-693)Online publication date: 7-Nov-2018
https://doi.org/10.1007/978-3-030-03596-9_49
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