Difference: FRCVLabMLSA_execution (2 vs. 3)

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 To run the software:
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+. Copy all the source files to be analyzed into the mlsa/bin/ folder 
                    (including additional .h and .c files)
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+. Download software from https://git.io/MLSA
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+. On the terminal, run the command:
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+. Run mlsapath.bash in the mlsa folder (adds mlcg.py to PATH) with command: $source mlsapath.bash
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+		./mlsa_run [list of args]
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+. On the terminal, run the mlcg command with the desired folder or programs as arguments: $mlcg.py [list of args]
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+		list of args is the set of source programs to be combined 
                                  in the final call graph.
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+A good way to test if your MLSA installation is operating correctly is to test the code on the test programs in the test folder

1. Run the command: $python testcode.py 0

2. A document titled 'stats' will show if there are any differences between the code you generated and the ideal code

3. Delete the generated code by running the command: $python testcode.py -1

2. Repeat with numbers 1-5
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