Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting
| Ano de defesa: | 2014 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Tese |
| Tipo de acesso: | Acesso aberto |
| Idioma: | eng |
| Instituição de defesa: |
Instituto de Matemática
|
| Programa de Pós-Graduação: |
Programa Multiinstitucional de Pós-graduação em Ciência da Computação, UFBA-UNIFACS-UEFS
|
| Departamento: |
Não Informado pela instituição
|
| País: |
brasil
|
| Palavras-chave em Português: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | http://repositorio.ufba.br/ri/handle/ri/22825 |
Resumo: | Many theories in health care and business administration seek answers to the fundamental question of why people behave the way they do. They aim to understand the beliefs underlying an intention or behavior. These theories are currently used to find out how people progress from intention to practice in business environments. In this dissertation, we focus our attention on understanding belief systems behind software engineering practice. Our work aims to characterize a belief system applying behavioral theories in software project teams in terms of the influence factors, such as beliefs, attitude, organizational culture and values, subjective norms, team confidence and autonomy, that actually impact on software practices in industrial settings. Our research went through two cycles, comprising three years of study in Brazilian software companies. A long-term ethnographic case study was conducted, employing participant observation, interviews, and document analysis. A set of interviews on origins and impacts of beliefs was performed with professionals from different project teams and companies. Conceptual frameworks were built based on behavioral theories models to focus and bound the collection of data and guide the synthesis of the results on the research questions posed. The results showed the strong influence of past experiences and organizational contexts on the software development practices of project teams. Based on the findings of the research, it became clear that beliefs alone do not lead project teams to action and behavior. Factors such as attitude toward behavior have a significant influence on practice. New information about something contribute to shape an opinion or predisposition to act and have the potential to affect the attitude depending on the strength of related beliefs, which leads to behavior intention. Another important issue is how consonant are the beliefs of a project team. Common strong beliefs are reflected into practices that project teams actually adopt. However there are beliefs without attitude that do not result in action, as well as team conflicts that hinder the adoption of new practices. All these findings motivated a search for behavioral theories that could explain and conceptualize human behavior. The study showed that it is possible to characterize belief systems in software project contexts within a behavioral perspective. We were able to provide rich narrative accounts for software engineering research and our approach has led to practical and useful recommendations for companies. The main contribution of this dissertation is to deepen relevant knowledge and experience on the characterization of beliefs in organizational contexts and how they and other influence factors actually impact practices, processes and decisions in software industry projects. |
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Passos, Maria Carolina MelloMendonça Neto , Manoel Gomes deMendonça Neto, Manoel Gomes de2017-06-06T14:52:01Z2017-06-06T14:52:01Z2017-06-062014-02-14http://repositorio.ufba.br/ri/handle/ri/22825Many theories in health care and business administration seek answers to the fundamental question of why people behave the way they do. They aim to understand the beliefs underlying an intention or behavior. These theories are currently used to find out how people progress from intention to practice in business environments. In this dissertation, we focus our attention on understanding belief systems behind software engineering practice. Our work aims to characterize a belief system applying behavioral theories in software project teams in terms of the influence factors, such as beliefs, attitude, organizational culture and values, subjective norms, team confidence and autonomy, that actually impact on software practices in industrial settings. Our research went through two cycles, comprising three years of study in Brazilian software companies. A long-term ethnographic case study was conducted, employing participant observation, interviews, and document analysis. A set of interviews on origins and impacts of beliefs was performed with professionals from different project teams and companies. Conceptual frameworks were built based on behavioral theories models to focus and bound the collection of data and guide the synthesis of the results on the research questions posed. The results showed the strong influence of past experiences and organizational contexts on the software development practices of project teams. Based on the findings of the research, it became clear that beliefs alone do not lead project teams to action and behavior. Factors such as attitude toward behavior have a significant influence on practice. New information about something contribute to shape an opinion or predisposition to act and have the potential to affect the attitude depending on the strength of related beliefs, which leads to behavior intention. Another important issue is how consonant are the beliefs of a project team. Common strong beliefs are reflected into practices that project teams actually adopt. However there are beliefs without attitude that do not result in action, as well as team conflicts that hinder the adoption of new practices. All these findings motivated a search for behavioral theories that could explain and conceptualize human behavior. The study showed that it is possible to characterize belief systems in software project contexts within a behavioral perspective. We were able to provide rich narrative accounts for software engineering research and our approach has led to practical and useful recommendations for companies. The main contribution of this dissertation is to deepen relevant knowledge and experience on the characterization of beliefs in organizational contexts and how they and other influence factors actually impact practices, processes and decisions in software industry projects.Submitted by Kleber Silva (kleberbs@ufba.br) on 2017-05-31T19:45:42Z No. of bitstreams: 1 Versão final - Carol Passos.pdf: 2786576 bytes, checksum: 51176f0a4d3c8a2ac70f4fa2b6818b2c (MD5)Approved for entry into archive by Vanessa Reis (vanessa.jamile@ufba.br) on 2017-06-06T14:52:01Z (GMT) No. of bitstreams: 1 Versão final - Carol Passos.pdf: 2786576 bytes, checksum: 51176f0a4d3c8a2ac70f4fa2b6818b2c (MD5)Made available in DSpace on 2017-06-06T14:52:01Z (GMT). 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| dc.title.pt_BR.fl_str_mv |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| title |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| spellingShingle |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting Passos, Maria Carolina Mello Sistemas Computacionais Belief System Organizational Culture and Values Behavior Intention Reasoned Action |
| title_short |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| title_full |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| title_fullStr |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| title_full_unstemmed |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| title_sort |
Understanding the Belief Systems behind Software Engineering Practices: Studies on Evidence-Based Practices in an Industrial Setting |
| author |
Passos, Maria Carolina Mello |
| author_facet |
Passos, Maria Carolina Mello |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Passos, Maria Carolina Mello |
| dc.contributor.advisor1.fl_str_mv |
Mendonça Neto , Manoel Gomes de |
| dc.contributor.referee1.fl_str_mv |
Mendonça Neto, Manoel Gomes de |
| contributor_str_mv |
Mendonça Neto , Manoel Gomes de Mendonça Neto, Manoel Gomes de |
| dc.subject.cnpq.fl_str_mv |
Sistemas Computacionais |
| topic |
Sistemas Computacionais Belief System Organizational Culture and Values Behavior Intention Reasoned Action |
| dc.subject.por.fl_str_mv |
Belief System Organizational Culture and Values Behavior Intention Reasoned Action |
| description |
Many theories in health care and business administration seek answers to the fundamental question of why people behave the way they do. They aim to understand the beliefs underlying an intention or behavior. These theories are currently used to find out how people progress from intention to practice in business environments. In this dissertation, we focus our attention on understanding belief systems behind software engineering practice. Our work aims to characterize a belief system applying behavioral theories in software project teams in terms of the influence factors, such as beliefs, attitude, organizational culture and values, subjective norms, team confidence and autonomy, that actually impact on software practices in industrial settings. Our research went through two cycles, comprising three years of study in Brazilian software companies. A long-term ethnographic case study was conducted, employing participant observation, interviews, and document analysis. A set of interviews on origins and impacts of beliefs was performed with professionals from different project teams and companies. Conceptual frameworks were built based on behavioral theories models to focus and bound the collection of data and guide the synthesis of the results on the research questions posed. The results showed the strong influence of past experiences and organizational contexts on the software development practices of project teams. Based on the findings of the research, it became clear that beliefs alone do not lead project teams to action and behavior. Factors such as attitude toward behavior have a significant influence on practice. New information about something contribute to shape an opinion or predisposition to act and have the potential to affect the attitude depending on the strength of related beliefs, which leads to behavior intention. Another important issue is how consonant are the beliefs of a project team. Common strong beliefs are reflected into practices that project teams actually adopt. However there are beliefs without attitude that do not result in action, as well as team conflicts that hinder the adoption of new practices. All these findings motivated a search for behavioral theories that could explain and conceptualize human behavior. The study showed that it is possible to characterize belief systems in software project contexts within a behavioral perspective. We were able to provide rich narrative accounts for software engineering research and our approach has led to practical and useful recommendations for companies. The main contribution of this dissertation is to deepen relevant knowledge and experience on the characterization of beliefs in organizational contexts and how they and other influence factors actually impact practices, processes and decisions in software industry projects. |
| publishDate |
2014 |
| dc.date.submitted.none.fl_str_mv |
2014-02-14 |
| dc.date.accessioned.fl_str_mv |
2017-06-06T14:52:01Z |
| dc.date.available.fl_str_mv |
2017-06-06T14:52:01Z |
| dc.date.issued.fl_str_mv |
2017-06-06 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/doctoralThesis |
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IM |
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