validation method to improve behavioral flows on uml requirements analysis model by cross-checking with state transition model

TL;DR

This paper introduces a validation method that enhances behavioral flow accuracy in UML requirements models by cross-checking with state transition models, using automated inconsistency detection to improve specification quality.

Contribution

It presents a novel automated comparison approach between analyst-created and evaluator-created models to identify and correct inconsistencies in requirements specifications.

Findings

Effective inconsistency detection demonstrated on a requirements example

Improved accuracy of behavioral flows in UML models

Automated tool supports validation process

Abstract

We propose a method to evaluate and improve the validity of required specifications by comparing models from different viewpoints. Inconsistencies are automatically extracted from the model in which the analyst defines the service procedure based on the initial requirement; thereafter, the analyst automatically compares it with a state transition model from the same initial requirement that has been created by an evaluator who is different from the analyst. The identified inconsistencies are reported to the analyst to enable the improvement of the required specifications. We develop a tool for extraction and comparison and then discuss its effectiveness by applying the method to a requirements specification example.