@article{Kamei_Wiese_Pinto_Ferreira_Ribeiro_Souza_Soares_2022, title={Assessing the Credibility of Grey Literature: A Study with Brazilian Software Engineering Researchers}, volume={10}, url={https://sol.sbc.org.br/journals/index.php/jserd/article/view/1897}, DOI={10.5753/jserd.2022.1897}, abstractNote={<p><span dir="ltr" role="presentation">In recent years, the use and investigations about Grey Literature (GL) increased, in particular, in Software Engi</span><span dir="ltr" role="presentation">neering (SE) research. However, its understanding is still scarce and sometimes controversial, such as interpreting </span><span dir="ltr" role="presentation">GL types and assessing their credibility. This study aimed to understand the credibility aspects that SE researchers </span><span dir="ltr" role="presentation">consider in assessing GL and its types. To achieve this goal, we surveyed 53 SE researchers (who answered that </span><span dir="ltr" role="presentation">they have used GL in our previous investigation), receiving a total of 34 valid responses. Our main findings show </span><span dir="ltr" role="presentation">that: 1) GL source produced or cited by a renowned source is the main credibility criteria used to assess GL, 2) </span><span dir="ltr" role="presentation">most of the GL types tend to have a Low to Moderate level of Control and Expertise, 3) there is a positive statistical </span><span dir="ltr" role="presentation">correlation between the level of Control and Expertise for most GL types, and 4) the different respondent profiles </span><span dir="ltr" role="presentation">shared similar opinions about the credibility criteria. Our investigation contributes to helping future SE researchers </span><span dir="ltr" role="presentation">that intend to use GL with more credibility. Additionally, shows the need for future studies to better understand the </span><span dir="ltr" role="presentation">GL types in SE research.</span></p>}, journal={Journal of Software Engineering Research and Development}, author={Kamei, Fernando Kenji and Wiese, Igor and Pinto, Gustavo and Ferreira, Waldemar and Ribeiro, Márcio and Souza, Renata and Soares, Sérgio}, year={2022}, month={Jun.}, pages={9:1 – 9:20} }