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Nome do aluno |
Felipe Gustavo de Souza Gomes |
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Título do trabalho |
Practical Guidelines for Analyzing Grey Literature from Software Engineering Community Question and Answer Platforms |
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Resumo do trabalho |
Gray literature (GL) refers to publications that bypass formal quality control processes, such as peer review. Fields like medicine and education have long acknowledged GL as a valuable source of professional and experiential knowledge. In contemporary settings, GL often includes user-generated web content, such as tweets, blogs, and posts on Question and Answer (Q\&A) platforms. Given Software Engineering's (SE) practitioner and application-oriented nature, recognizing the role of GL is particularly important. In SE, professionals frequently use GL to discuss topics ranging from bug fixes to project management, exchange expertise, and seek solutions. Researchers increasingly view GL as a rich complement to peer-reviewed, or white literature (WL). Community Question and Answer (CQA) platforms, such as Stack Exchange, are among the most prominent GL sources in SE. These platforms allow professionals to obtain rapid and accurate responses to technical questions, explore complex issues, and share insights. Despite growing academic interest in Q\&A content, SE lacks established methodological guidelines for conducting systematic reviews in these unstructured and dynamic environments. This thesis addresses this gap by proposing guidelines for conducting systematic literature reviews in CQAs. A series of empirical studies underpin the development of these guidelines. Two studies examined data collection, filtering, and analysis of forum content related to technical problems and community-generated solutions. Another introduced an adapted snowballing technique tailored for CQAs. Additionally, a profiling study of nearly one thousand forum participants explored user behavior and content characteristics. Together, these studies inform a comprehensive methodology and set of practical guidelines for analyzing GL from CQAs. More broadly, this thesis contributes to the advancement of systematic review practices in SE by offering methodological innovations, tools, and frameworks for the rigorous evaluation of community-driven knowledge. |
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Orientador |
Manoel Gomes de Mendonça Neto |
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Co-orientador
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Thiago Souto Mendes (IFBA)
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Membro externo 1
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Emmanuel Sávio Silva Freire (IFCE)
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Link para o curriculum lattes
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http://lattes.cnpq.br/
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Membro interno 1
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Rodrigo Rocha Gomes e Souza (IC-UFBA)
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Link para o curriculum lattes
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http://lattes.cnpq.br/
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Suplente do membro externo
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Methanias Colaço Júnior (UFS)
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Link para o curriculum lattes
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http://lattes.cnpq.br/
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Suplente do membro interno
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Flávio Dusse (Universidade Católica do Salvador)
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Link para o curriculum lattes
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http://lattes.cnpq.br/
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Data do exame
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23 Jul, 2025
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Horário do exame
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9:00 AM
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Data da Defesa:
23/07/2025 - 09:00
Tipo de Defesa:
Qualificação de Doutorado