ScEqAn (Scientific Equation/Expression Analysis)

• Dynamic Expression Analysis for research on equations and algorithms.
• Used for providing boundary values to any equations to make sure how far the input dependencies have impact on outcomes
• Altering the x, y multiple times to check individual impact of x & y on f(x, y) is the ultimate goal of ScEqAn.
• Check out the example code in repo ( https://github.com/Palani-SN/ScEqAn ) for reference.

Note:

• Recommended for Educational & Research purposes only,
• Not Recommended for Verification & Validation (Testing)

Step 1 : Create ScEqAn input scripts in Input.txt

[P] = p{-10.0, 70.0} + r{-50.0, 50.0} * t{0.0, 0.20};
[Q] = q{-20.0, 20.0} + s{-50.0, 50.0} * t;

• save the above content to Input.txt and use that to create the Output.log

Rules to be followed in writing ScEqAn script

• All Input Variables of any equation should be provided with a range as specified below.

... = input_variable{lower_bound, upper_bound}

• And Output variables should be enclosed within square brackets.

[output_variable] = ...

• Otherwise you can write the equations the same way you would write in a python code.

Step 2 : Use the following example Code to get reports

Analysis

• Sample usage of the file is as given below (Refer Examples for more understanding)

from ScEqAn.Analysis import DynamicProgramAnalysis

OBJ = DynamicProgramAnalysis("InputFiles/Input.txt", "OutputFiles/Output.log");

# For printing the results to console, set Debug = True
OBJ.Run(Debug = True);

# For printing the results to console, set Debug = False
OBJ.Run(Debug = False);

CodeFlow

DynamicProgramAnalysis (class from Analysis.py)

• Initialising class helps to configure the Input txt file to be used and output report needs to be generated with the worst case values.
• Arguments
  • Arg1 - FileName (name of the input file which has ScEqAn script)
  • Arg2 - LogFileName (name of the output file for the reports)
• Sample usage of DynamicProgramAnalysis Initialisation is shown below.

from ScEqAn.Analysis import DynamicProgramAnalysis

OBJ = DynamicProgramAnalysis("Input.txt", "Output.log")

Run()

• Initiates the Dynamic Program Analysis with the already set Input and Output files as configuration.
• Additionally we can select Debug as True to print the current status of the run to console.

## Definition
def Run(self, Debug = False):

• Arguments
  • Arg1 - Debug (If True prints the run info to console, If false doesnt print)

Step 3 : Check output reports in Output.log

• you will be getting the extreme values of input with respect to output extremes as shown below.