Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Tese |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da PUC_RS |
Texto Completo: | http://tede2.pucrs.br/tede2/handle/tede/8333 |
Resumo: | Software crowdsourcing development platforms require a continuous influx of crowdworkers for their continuity. Crowdworkers should be encouraged to play an important role in the online communities by being active members, but they face difficulties when attempting to participate. For this reason, we investigated the difficulties that crowdworkers face in crowdsourcing software development platforms. We conducted empirical studies relying on multiple data sources and research methods including literature review, peer review, field study, and procedures of grounded theory. We observed that crowdworkers face many barriers – related to competence, collaboration, and time management – when making their contributions in software crowdsourcing development, which can result in dropouts. Based on the identified barriers, literature review and, crowdworkers suggestions, we list 13 recommendations for participants as potential solutions to overcome such barriers. The recommendations were evaluated by surveying software crowdsourcing experts. The main contributions of this dissertation are a) empirical identification of barriers faced by crowdsourcing software development crowdworkers; and b) recommendations on how to minimize the barriers. We conclude that the crowdworkers need competency and an efficient time management effort to take part collaboratively in tasks of the Competition-Based Crowdsourcing Software Development of the Topcoder platform. |
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Prikladnicki, Rafaelhttp://lattes.cnpq.br/2007065934836962Steinmacher, Igor Fábiohttp://lattes.cnpq.br/5529725593221391http://lattes.cnpq.br/1988486115879940Zanatta, Alexandre Lazaretti2018-10-26T11:56:21Z2018-08-13http://tede2.pucrs.br/tede2/handle/tede/8333Software crowdsourcing development platforms require a continuous influx of crowdworkers for their continuity. Crowdworkers should be encouraged to play an important role in the online communities by being active members, but they face difficulties when attempting to participate. For this reason, we investigated the difficulties that crowdworkers face in crowdsourcing software development platforms. We conducted empirical studies relying on multiple data sources and research methods including literature review, peer review, field study, and procedures of grounded theory. We observed that crowdworkers face many barriers – related to competence, collaboration, and time management – when making their contributions in software crowdsourcing development, which can result in dropouts. Based on the identified barriers, literature review and, crowdworkers suggestions, we list 13 recommendations for participants as potential solutions to overcome such barriers. The recommendations were evaluated by surveying software crowdsourcing experts. The main contributions of this dissertation are a) empirical identification of barriers faced by crowdsourcing software development crowdworkers; and b) recommendations on how to minimize the barriers. We conclude that the crowdworkers need competency and an efficient time management effort to take part collaboratively in tasks of the Competition-Based Crowdsourcing Software Development of the Topcoder platform.O desenvolvimento de projetos por meio de software crowdsourcing depende de um fluxo contínuo de trabalhadores da multidão para sua continuidade. Estes trabalhadores necessitam ser membros ativos, porém enfrentam dificuldades quando tentam participar em projetos de software crowdsourcing. Por esta razão, investigou-se quais foram as dificuldades que os trabalhadores da multidão enfrentam em plataformas de desenvolvimento de projetos via software crowdsourcing. Foram realizados vários estudos empíricos baseados em múltiplas fontes de dados e métodos de pesquisa, incluindo revisão da literatura, revisão por pares, estudo de campo e procedimentos da teoria fundamentada. Observou-se que os trabalhadores enfrentam muitas barreiras - relacionadas à competência, colaboração e gerenciamento do tempo - ao fazerem suas contribuições no desenvolvimento projetos por software crowdsourcing, o que pode resultar em desistências. Com base nas barreiras identificadas, revisão de literatura e sugestões dos trabalhadores foram apresentadas 13 recomendações para que estes trabalhadores possam superar tais barreiras. Estas recomendações foram avaliadas por especialistas em software crowdsourcing. As principais contribuições desta tese foram: a) identificação empírica das barreiras enfrentadas pelos desenvolvedores de software em projetos de software crowdsourcing; e b) recomendações para minimizar estas barreiras. Conclui-se que os trabalhadores da multidão precisam de competência e um esforço eficiente de gerenciamento de tempo para participar de forma colaborativa nas tarefas do desenvolvimento de projetos em software Crowdsourcing no modelo competitivo da plataforma Topcoder.Submitted by PPG Ciência da Computação (ppgcc@pucrs.br) on 2018-10-24T18:17:00Z No. of bitstreams: 1 ALEXANDRE LAZARETTI ZANATTA.DIS.pdf: 3682553 bytes, checksum: f4e0c608791ce6787d609d8099456e04 (MD5)Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-10-26T11:47:02Z (GMT) No. of bitstreams: 1 ALEXANDRE LAZARETTI ZANATTA.DIS.pdf: 3682553 bytes, checksum: f4e0c608791ce6787d609d8099456e04 (MD5)Made available in DSpace on 2018-10-26T11:56:21Z (GMT). No. of bitstreams: 1 ALEXANDRE LAZARETTI ZANATTA.DIS.pdf: 3682553 bytes, checksum: f4e0c608791ce6787d609d8099456e04 (MD5) Previous issue date: 2018-08-13application/pdfhttp://tede2.pucrs.br:80/tede2/retrieve/173462/ALEXANDRE%20LAZARETTI%20ZANATTA.DIS.pdf.jpgporPontifícia Universidade Católica do Rio Grande do SulPrograma de Pós-Graduação em Ciência da ComputaçãoPUCRSBrasilEscola PolitécnicaSoftware CrowdsourcingCrowdworkerBarriersRecommendationsBarreirasTrabalhador na MultidãoCIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAORecomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcinginfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisTrabalho não apresenta restrição para publicação-4570527706994352458500500-862078257083325301info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da PUC_RSinstname:Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)instacron:PUC_RSTHUMBNAILALEXANDRE LAZARETTI ZANATTA.DIS.pdf.jpgALEXANDRE LAZARETTI ZANATTA.DIS.pdf.jpgimage/jpeg5781http://tede2.pucrs.br/tede2/bitstream/tede/8333/4/ALEXANDRE+LAZARETTI+ZANATTA.DIS.pdf.jpg8c84366256b60fecf1965f92a7a45d06MD54TEXTALEXANDRE LAZARETTI ZANATTA.DIS.pdf.txtALEXANDRE LAZARETTI ZANATTA.DIS.pdf.txttext/plain358461http://tede2.pucrs.br/tede2/bitstream/tede/8333/3/ALEXANDRE+LAZARETTI+ZANATTA.DIS.pdf.txt974fa7c356df84a83d7ecf8a38f9f32eMD53ORIGINALALEXANDRE LAZARETTI ZANATTA.DIS.pdfALEXANDRE LAZARETTI ZANATTA.DIS.pdfapplication/pdf3682553http://tede2.pucrs.br/tede2/bitstream/tede/8333/2/ALEXANDRE+LAZARETTI+ZANATTA.DIS.pdff4e0c608791ce6787d609d8099456e04MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-8590http://tede2.pucrs.br/tede2/bitstream/tede/8333/1/license.txt220e11f2d3ba5354f917c7035aadef24MD51tede/83332018-10-26 13:00:50.431oai:tede2.pucrs.br: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Biblioteca Digital de Teses e Dissertaçõeshttp://tede2.pucrs.br/tede2/PRIhttps://tede2.pucrs.br/oai/requestbiblioteca.central@pucrs.br||opendoar:2018-10-26T15:00:50Biblioteca Digital de Teses e Dissertações da PUC_RS - Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS)false |
dc.title.por.fl_str_mv |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
title |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
spellingShingle |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing Zanatta, Alexandre Lazaretti Software Crowdsourcing Crowdworker Barriers Recommendations Barreiras Trabalhador na Multidão CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO |
title_short |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
title_full |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
title_fullStr |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
title_full_unstemmed |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
title_sort |
Recomendações para trabalhadores na multidão superarem barreiras em projetos de software crowdsourcing |
author |
Zanatta, Alexandre Lazaretti |
author_facet |
Zanatta, Alexandre Lazaretti |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Prikladnicki, Rafael |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/2007065934836962 |
dc.contributor.advisor-co1.fl_str_mv |
Steinmacher, Igor Fábio |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/5529725593221391 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/1988486115879940 |
dc.contributor.author.fl_str_mv |
Zanatta, Alexandre Lazaretti |
contributor_str_mv |
Prikladnicki, Rafael Steinmacher, Igor Fábio |
dc.subject.eng.fl_str_mv |
Software Crowdsourcing Crowdworker Barriers Recommendations |
topic |
Software Crowdsourcing Crowdworker Barriers Recommendations Barreiras Trabalhador na Multidão CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO |
dc.subject.por.fl_str_mv |
Barreiras Trabalhador na Multidão |
dc.subject.cnpq.fl_str_mv |
CIENCIA DA COMPUTACAO::TEORIA DA COMPUTACAO |
description |
Software crowdsourcing development platforms require a continuous influx of crowdworkers for their continuity. Crowdworkers should be encouraged to play an important role in the online communities by being active members, but they face difficulties when attempting to participate. For this reason, we investigated the difficulties that crowdworkers face in crowdsourcing software development platforms. We conducted empirical studies relying on multiple data sources and research methods including literature review, peer review, field study, and procedures of grounded theory. We observed that crowdworkers face many barriers – related to competence, collaboration, and time management – when making their contributions in software crowdsourcing development, which can result in dropouts. Based on the identified barriers, literature review and, crowdworkers suggestions, we list 13 recommendations for participants as potential solutions to overcome such barriers. The recommendations were evaluated by surveying software crowdsourcing experts. The main contributions of this dissertation are a) empirical identification of barriers faced by crowdsourcing software development crowdworkers; and b) recommendations on how to minimize the barriers. We conclude that the crowdworkers need competency and an efficient time management effort to take part collaboratively in tasks of the Competition-Based Crowdsourcing Software Development of the Topcoder platform. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-10-26T11:56:21Z |
dc.date.issued.fl_str_mv |
2018-08-13 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/doctoralThesis |
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doctoralThesis |
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publishedVersion |
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por |
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Programa de Pós-Graduação em Ciência da Computação |
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