Guia para decompor tarefas de testes funcionais em software crowdsourcing

Detalhes bibliográficos
Autor(a) principal: Costella, Fernando Luiz
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca de teses e dissertações da Universidade de Passo Fundo (BDTD UPF)
Texto Completo: http://tede.upf.br:8080/jspui/handle/tede/1911
Resumo: Participants in crowdsourcing environments face problems, which are considered barriers to make their contribution effective. One of the difficulties presented is the complexity of the tasks provided. The work presents an approach to reduce this complexity, by decomposing tasks. Unlike related works that demonstrate the decomposition by the platform, the proposal foresees that it is the user who performs this procedure. For this, a guide for decomposing Macrotasks was developed, incorporating in its elaboration the patterns identified in the tasks by content analysis, the Hierarchical Task Analysis technique and the Test Process Improvement model. For the evaluation of the guide, a paired experiment was carried out, with students selected for convenience of the Software Testing discipline at the University of Passo Fundo. The experiment was divided into two stages: in the first, software testing tasks were performed without using the guide and in the second, with different tasks from Phase 1, using the proposed guide. The experiment showed insignificant results in the quantitative analysis and significant results in the qualitative analysis. It is concluded that even though the quantitative analysis did not present relevant results, the qualitative analysis demonstrated a good adherence of the participants, demonstrating the importance and relevance of the guide.
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spelling Cervi, Cristiano Roberto71425306004http://lattes.cnpq.br/368266063426873401156228026http://lattes.cnpq.br/7081130449139345Costella, Fernando Luiz2020-10-26T21:08:40Z2020-03-25COSTELLA, Fernando Luiz. Guia para decompor tarefas de testes funcionais em software crowdsourcing. 2020. 115 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2020.http://tede.upf.br:8080/jspui/handle/tede/1911Participants in crowdsourcing environments face problems, which are considered barriers to make their contribution effective. One of the difficulties presented is the complexity of the tasks provided. The work presents an approach to reduce this complexity, by decomposing tasks. Unlike related works that demonstrate the decomposition by the platform, the proposal foresees that it is the user who performs this procedure. For this, a guide for decomposing Macrotasks was developed, incorporating in its elaboration the patterns identified in the tasks by content analysis, the Hierarchical Task Analysis technique and the Test Process Improvement model. For the evaluation of the guide, a paired experiment was carried out, with students selected for convenience of the Software Testing discipline at the University of Passo Fundo. The experiment was divided into two stages: in the first, software testing tasks were performed without using the guide and in the second, with different tasks from Phase 1, using the proposed guide. The experiment showed insignificant results in the quantitative analysis and significant results in the qualitative analysis. It is concluded that even though the quantitative analysis did not present relevant results, the qualitative analysis demonstrated a good adherence of the participants, demonstrating the importance and relevance of the guide.Os participantes de ambientes crowdsourcing enfrentam problemas, os quais são considerados barreiras para efetivação de sua contribuição. Uma das dificuldades apresentadas é a complexidade das tarefas disponibilizadas. O trabalho apresenta uma abordagem para reduzir esta complexidade, por meio da decomposição de tarefas. Ao contrário dos trabalhos relacionados que demostram a realização da decomposição pela plataforma, a proposta prevê que seja o usuário a realizar tal procedimento. Para isso, foi desenvolvido um guia para decomposição de Macrotasks, incorporando em sua elaboração os padrões identificados nas tarefas pela análise de conteúdo, a técnica de Análise Hierárquica de Tarefas e o modelo de Melhoria do Processo de Teste. Para avaliação do guia, foi realizado um experimento pareado, com alunos selecionados por conveniência da disciplina de Teste de Software da Universidade de Passo Fundo. O experimento foi dividido em duas etapas: na primeira, foram realizadas tarefas de teste de software sem a utilização do guia e na segunda, com tarefas diferentes da Fase 1, utilizando o guia proposto. O experimento demostrou resultados pouco significativos na análise quantitativa e significativos na análise qualitativa. Conclui-se que mesmo a análise quantitativa não tenha apresentado resultados relevantes, a análise qualitativa demonstrou uma boa aderência dos participantes, demonstrando a importância e relevância do guia.Submitted by Aline Rezende (alinerezende@upf.br) on 2020-10-26T21:08:40Z No. of bitstreams: 1 2020FernandoLuizCostella.pdf: 5868905 bytes, checksum: 8380342bf2aaf1716a0376140cb015b3 (MD5)Made available in DSpace on 2020-10-26T21:08:40Z (GMT). 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dc.title.por.fl_str_mv Guia para decompor tarefas de testes funcionais em software crowdsourcing
dc.title.alternative.eng.fl_str_mv Guide to decomposing functional testing tasks in crowdsourcing software
title Guia para decompor tarefas de testes funcionais em software crowdsourcing
spellingShingle Guia para decompor tarefas de testes funcionais em software crowdsourcing
Costella, Fernando Luiz
Engenharia de software
Software de aplicação
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short Guia para decompor tarefas de testes funcionais em software crowdsourcing
title_full Guia para decompor tarefas de testes funcionais em software crowdsourcing
title_fullStr Guia para decompor tarefas de testes funcionais em software crowdsourcing
title_full_unstemmed Guia para decompor tarefas de testes funcionais em software crowdsourcing
title_sort Guia para decompor tarefas de testes funcionais em software crowdsourcing
author Costella, Fernando Luiz
author_facet Costella, Fernando Luiz
author_role author
dc.contributor.advisor1.fl_str_mv Cervi, Cristiano Roberto
dc.contributor.advisor1ID.fl_str_mv 71425306004
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/3682660634268734
dc.contributor.authorID.fl_str_mv 01156228026
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7081130449139345
dc.contributor.author.fl_str_mv Costella, Fernando Luiz
contributor_str_mv Cervi, Cristiano Roberto
dc.subject.por.fl_str_mv Engenharia de software
Software de aplicação
topic Engenharia de software
Software de aplicação
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description Participants in crowdsourcing environments face problems, which are considered barriers to make their contribution effective. One of the difficulties presented is the complexity of the tasks provided. The work presents an approach to reduce this complexity, by decomposing tasks. Unlike related works that demonstrate the decomposition by the platform, the proposal foresees that it is the user who performs this procedure. For this, a guide for decomposing Macrotasks was developed, incorporating in its elaboration the patterns identified in the tasks by content analysis, the Hierarchical Task Analysis technique and the Test Process Improvement model. For the evaluation of the guide, a paired experiment was carried out, with students selected for convenience of the Software Testing discipline at the University of Passo Fundo. The experiment was divided into two stages: in the first, software testing tasks were performed without using the guide and in the second, with different tasks from Phase 1, using the proposed guide. The experiment showed insignificant results in the quantitative analysis and significant results in the qualitative analysis. It is concluded that even though the quantitative analysis did not present relevant results, the qualitative analysis demonstrated a good adherence of the participants, demonstrating the importance and relevance of the guide.
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-10-26T21:08:40Z
dc.date.issued.fl_str_mv 2020-03-25
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.citation.fl_str_mv COSTELLA, Fernando Luiz. Guia para decompor tarefas de testes funcionais em software crowdsourcing. 2020. 115 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2020.
dc.identifier.uri.fl_str_mv http://tede.upf.br:8080/jspui/handle/tede/1911
identifier_str_mv COSTELLA, Fernando Luiz. Guia para decompor tarefas de testes funcionais em software crowdsourcing. 2020. 115 f. Dissertação (Mestrado em Computação Aplicada) - Universidade de Passo Fundo, Passo Fundo, RS, 2020.
url http://tede.upf.br:8080/jspui/handle/tede/1911
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dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Computação Aplicada
dc.publisher.initials.fl_str_mv UPF
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Instituto de Ciências Exatas e Geociências – ICEG
publisher.none.fl_str_mv Universidade de Passo Fundo
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