Using Q&A Websites as a Method for Assessing Systematic Reviews
Bruno Cartaxo, Gustavo Pinto, José A. Ribeiro, Fernando Kamei, Ronnie E. S. Santos, Fábio Q. B. da Silva, Sérgio Soares
Abstract
Bruno Cartaxo, Gustavo Pinto, José A. Ribeiro, Fernando Kamei, Ronnie E. S. Santos, Fábio Q. B. da Silva, Sérgio Soares
Abstract
Questions and Answers (Q&A) websites maintain a long history of needs, problems, and challenges that software developers face. In contrast to Q&A websites, which are strongly tied to practitioners' needs, there are systematic reviews (SRs), which, according to recent studies, lack a connection with software engineering practice. In this paper, we investigate this claim by assessing to what extent systematic reviews help to solve questions posted on Q&A websites. To achieve this goal, we propose and evaluate a coverage method. We applied this method to a set of more than 600 questions related to agile software development. Results suggest that 12% of the related questions were covered. When considering specific agile methods, the majority of them have coverage below 50% or were not covered at all. We also identified 27 recurrent questions.
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Questions and Answers (Q&A) websites maintain a long history of needs, problems, and challenges that software developers face. In contrast to Q&A websites, which are strongly tied to practitioners' needs, there are systematic reviews (SRs), which, according to recent studies, lack a connection with software engineering practice. In this paper, we investigate this claim by assessing to what extent systematic reviews help to solve questions posted on Q&A websites. To achieve this goal, we propose and evaluate a coverage method. We applied this method to a set of more than 600 questions related to agile software development. Results suggest that 12% of the related questions were covered. When considering specific agile methods, the majority of them have coverage below 50% or were not covered at all. We also identified 27 recurrent questions.
Key concepts: Agile software development, Computer science, Systematic review, Set (abstract data type), Software, Face (sociological concept), Software engineering, User story