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 ## Introduction
 
-<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/0/01/Created_with_Matplotlib-logo.svg/128px-Created_with_Matplotlib-logo.svg.png" alt="Created with Matplotlib" align="left"/> The Java 8 Stream API sets forth a promising new programming model that incorporates functional-like, MapReduce-style features into a mainstream programming language. However, using streams efficiently may involve subtle considerations. This tool consists of automated refactoring research prototype plug-ins for [Eclipse](http://eclipse.org) that assists developers in writing optimal stream client code in a semantics-preserving fashion. Refactoring preconditions and transformations for automatically determining when it is safe and possibly advantageous to convert a sequential stream to parallel and improve upon already parallel streams are included. The approach utilizes both [WALA](wala) and [SAFE](safe).
+<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/0/01/Created_with_Matplotlib-logo.svg/128px-Created_with_Matplotlib-logo.svg.png" alt="Created with Matplotlib" align="left"/> The Java 8 Stream API sets forth a promising new programming model that incorporates functional-like, MapReduce-style features into a mainstream programming language. However, using streams efficiently may involve subtle considerations. 
+
+This tool consists of automated refactoring research prototype plug-ins for [Eclipse](http://eclipse.org) that assists developers in writing optimal stream client code in a semantics-preserving fashion. Refactoring preconditions and transformations for automatically determining when it is safe and possibly advantageous to convert a sequential stream to parallel and improve upon already parallel streams are included. The approach utilizes both [WALA](wala) and [SAFE](safe).
 
 ## Usage