Real-time system is a special category of system which demands the correctness of a functionality to be satisfied within specified timeframe. The factors which affect the analysis and design of real-time systems are interoperability, portability, performance and reliability along with scalability as a prime concern. If the real-time systems are not correctly analyzed and designed, there will be lot many questions existing about deployment of such system. Prototyping and rapid development methodologies may not be suitable in the context of soft real-time system development since they are cost effective. In the past decade there were several modeling methodologies proposed in order satisfy the need to obtain the stable modeling paradigm. One of the popular means to model the static behavior of the system is though the application of UML profiles written for variety of domains. UML proposes use case model generation for estimating the system characteristics from the point of view of external entities expressed as actors. As UML use case models can only have structuring and extension relationships, it becomes necessary to understand the composition of the system in terms of guided relationships. This paper proposes a new UML use case stereotyping metamodel that can be used to address the need for discovering static behavior of soft real-time systems. The paper also explains the example of credit card processing which is a online transaction processing system belonging to soft real-time systems.