An Inductive-ROC Based Model for Determining Purchasing System Requirements

Abstract

The success of system development studies depends on the completeness and accuracy of the requirements collected from system user and stakeholders. Mistakes and deficiencies in the requirements determination process lie in the failure of many system development studies. The dynamism and complexity of today's systems make the requirements determination process even more complicated, and the requirement determination phase, which is the primary stage of system development studies, gains excellent importance. Although there are many techniques, strategies, and models in the literature to improve the requirements Determination process, there are very few studies on their multiple-use, classification of needs, and their experimental realization in a real system. In this study, a system development study was carried out using the System Requirements Model (SRM), which has a flexible structure that allows the system needs to be determined with the use of multiple techniques, at the same time classifies the identified requirements, can decide on the determination levels, and allows the work to be stopped if a sufficient level of needs is determined The developed model consists of three stages: requirement identification, rulemaking/technical/needs matrix creation and classification of needs. In the needs determination process, collection, presentation, verification, and sort of needs. In the second stage of the model, an analogy was made, and the needs and techniques were grouped with the ROC algorithm, and the rule-based RULES-3 algorithm was used to universalize the model. In the third stage of the model, needs were determined based on technical/technical combinations.