Date of Award


Document Type


Degree Name

Master of Science (MS)


Mechanical and Civil Engineering

First Advisor

Beshoy Morkos

Second Advisor

Chiradeep Sen

Third Advisor

Gnana Bhaskar Tenali

Fourth Advisor

Hamid Hefazi


The research presented in this thesis investigates the nature of change and change propagation in requirement documents as they are influenced by requirement type, that is, “Functional” or “NonFunctional,” and how an understanding of these types may refine utilization of the Automated Requirement Change Propagation Prediction (ARCPP) tool when used by design teams. Functionality is determined by asking the question “Does the requirement prescribe something for the project to accomplish?” This question separates the requirements into their requisite types. Using the ARCPP, the relationship and propagation scores were determined for each requirement. Furthermore, the number of relationships were determined for each requirement. It was discovered that, generally, requirements are most closely related to others of the same type. NonFunctional requirements are the type most likely to instigate change propagation, in all cases. Furthermore, nonfunctional requirements are most likely to instigate change to whichever type of requirement is most numerous in the requirement document. Additionally, the requirements were most likely to propagate to other requirements of the same type. Finally, change propagation paths through the different types of requirements is dependent on the number of each type of requirement in a requirement document, rather than the types of requirements, themselves. The calculations for finding the propagation and relationship scores are included. Additionally, the method for determining the relationships between functional and nonfunctional requirements has been included to enable design teams to better predict change propagation based on both the number of relationships and the propagation scores generated.


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