A Scalable Operational Framework for Requirements Validation Using Semantic and Functional Models
Issa Atoum · 2019
A successful operational software depends on adequacy and degrees of freedom in requirements definitions. The software developer in conjunction with the customer validates requirements to ensure the completion of the intended use and the capability of the target application. Notwithstanding, requirements validation is time-consuming, effortless and expensive, and many times involves error-prone manual activities. The difficulty of the problem increases with an increase in the application size, the application domain, and inherit textual requirements constructs. Current approaches to the problem are considered as passive-defect aggregations, domain-specific, or rather fine-grained with formal specifications. We propose a scalable operational framework to learn, predict, and recognize requirements defects using semantic similarity models and the Integration Functional Definition methods. The proposed framework automates the validation process and increases the productivity of software engineers online with customer needs. A proof of concept shows the applicability of our solution to requirements inconsistency defects.