Desenvolvimento por Usuário Final: Panorama da Pesquisa em Customização de Software por Usuário Final
Resumo
Novas necessidades de usuário podem surgir à medida que estes ganham proficiência no uso do software, levando ao desenvolvimento de aplicações em que os usuários possam customizá-las a fim de atender às suas novas necessidades. Nesse cenário, a partir de uma revisão da literatura, coletamos estudos que abordam a customização de software por usuários finais. Coletamos 42 artigos de 1997 a 2020, abrangendo 63 autores e 1579 referências. Realizamos uma análise bibliométrica para examinar o tema em que aplicamos os métodos de coautoria, cocitação e acoplamento bibliográfico. Os resultados mostram a estrutura social e intelectual desvelada e podem ser úteis para novos pesquisadores interessados no tema. Neste resumo expandido, sintetizamos essa análise bibliométrica realizada.
Palavras-chave:
desenvolvimento por usuário final, customização de software, análise bibliométrica, estrutura social, estrutura intelectual
Referências
Aria, M. e Cuccurullo, C. (2017). bibliometrix: An r-tool for comprehensive science mapping analysis. Journal of informetrics, (4):959–975.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., e Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, (7):1382–1402.
Correa, C. M. e Silveira, M. S. (2021). End-user highlighted: featuring tailorable systems development. In Proceedings of the 20th Brazilian Symposium on Human Factors in Computing Systems, pages 1–9.
Correa, C. M. e Silveira, M. S. (2022). End-user development landscape: A tour into tailoring software research. International Journal of Human–Computer Interaction, pages 1–15.
Fischer, G., Fogli, D., e Piccinno, A. (2017). Revisiting and broadening the meta-design framework for end-user development. In New perspectives in end-user development, pages 61–97. Springer.
Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American documentation, 14(1):10–25.
Lu, K. e Wolfram, D. (2012). Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches. Journal of the American Society for Information Science and Technology, pages 1973–1986.
Shafique, M. (2013). Thinking inside the box? intellectual structure of the knowledge base of innovation research (1988–2008). Strategic Management Journal, 34(1):62–93.
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, (4):265–269.
Van Eck, N. J. e Waltman, L. (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. scientometrics, pages 523–538.
Wohlin, C. (2014). Guidelines for snowballing in systematic literature studies and a replication in software engineering. In Proceedings of the 18th international conference on evaluation and assessment in software engineering, pages 1–10.
Zupic, I. e Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, pages 429–472.
Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., e Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, (7):1382–1402.
Correa, C. M. e Silveira, M. S. (2021). End-user highlighted: featuring tailorable systems development. In Proceedings of the 20th Brazilian Symposium on Human Factors in Computing Systems, pages 1–9.
Correa, C. M. e Silveira, M. S. (2022). End-user development landscape: A tour into tailoring software research. International Journal of Human–Computer Interaction, pages 1–15.
Fischer, G., Fogli, D., e Piccinno, A. (2017). Revisiting and broadening the meta-design framework for end-user development. In New perspectives in end-user development, pages 61–97. Springer.
Kessler, M. M. (1963). Bibliographic coupling between scientific papers. American documentation, 14(1):10–25.
Lu, K. e Wolfram, D. (2012). Measuring author research relatedness: A comparison of word-based, topic-based, and author cocitation approaches. Journal of the American Society for Information Science and Technology, pages 1973–1986.
Shafique, M. (2013). Thinking inside the box? intellectual structure of the knowledge base of innovation research (1988–2008). Strategic Management Journal, 34(1):62–93.
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for information Science, (4):265–269.
Van Eck, N. J. e Waltman, L. (2010). Software survey: Vosviewer, a computer program for bibliometric mapping. scientometrics, pages 523–538.
Wohlin, C. (2014). Guidelines for snowballing in systematic literature studies and a replication in software engineering. In Proceedings of the 18th international conference on evaluation and assessment in software engineering, pages 1–10.
Zupic, I. e Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, pages 429–472.
Publicado
16/10/2023
Como Citar
CORREA, Claiton Marques; SILVEIRA, Milene Selbach.
Desenvolvimento por Usuário Final: Panorama da Pesquisa em Customização de Software por Usuário Final. In: ARTIGOS INTERNACIONAIS - SIMPÓSIO BRASILEIRO DE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 22. , 2023, Maceió/AL.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 246-250.
DOI: https://doi.org/10.5753/ihc_estendido.2023.233072.
