diff --git a/sections/introduction.tex b/sections/introduction.tex
index 05dc737312c055462fb7b46e8aca75872773543d..cc0833f8281077360b3e07dfdc21cdfd4cc74866 100644
--- a/sections/introduction.tex
+++ b/sections/introduction.tex
@@ -18,7 +18,7 @@ To sum up, following three questions are formulated as research questions:
 \item{\textbf{RQ3 : Which advantages can RAG provide with its features at expressing testing approaches?}} 
 \end{description}
 
-\textbf{RQ1} is intended to investigate which approaches might be able to implement in RAG. Corresponding literatures are introduced in Section 3. \\ \textbf{RQ2} focuses on the implementation the data structure and testing methods in RAG and is answered in Section 4 and Section 5. \\ Results for \textbf{RQ3} shows concretely which features (attributes) of RAG are used and which benefits exist at this point.
+\textbf{RQ1} is intended to investigate which approaches might be able to implement in RAG. Corresponding literatures are introduced in Section 3. \\ \textbf{RQ2} focuses on the implementation the data structure and testing methods in RAG and is answered in Section 4 and Section 5. \\ In Section 6, Results for \textbf{RQ3} shows concretely which features (attributes) of RAG are used and which benefits exist at this point.
 
 % [1] https://swagger.io/specification/
 % [2] Basu, Anirban (2015). Software Quality Assurance, Testing and Metrics. PHI Learning. ISBN 978-81-203-5068-7.
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