diff --git a/doc/development-cycle.md b/doc/development-cycle.md
index f22ade37b..8a6fda96e 100644
--- a/doc/development-cycle.md
+++ b/doc/development-cycle.md
@@ -13,7 +13,7 @@ DeepDive provides a suite of tools that aim to keep each development iteration a
 ## 1. Write
 
 First of all, the user has to write in DDlog a schema that describes the input data and the data to be produced, along with how data should be processed and transformed.
-Data transofmation rules as well as *user-defined functions* (UDFs) written in Python or any other language can be used for defining the data processing operations.
+Data transformation rules as well as *user-defined functions* (UDFs) written in Python or any other language can be used for defining the data processing operations.
 Then, using the processed data, a statistical inference model describing a set of random variables and their correlations can be defined—also in DDlog—to specify what kind of predictions are to be made by the system.
 
 How to write each of these parts [in a DeepDive application](deepdiveapp.md) is described in the following pages: