Feasibility Analysis of a Rule-Based Ontology Framework (ROF) for Auto-Generation of Requirements Specification

Writing requirements specification documents plays an important role in determining the success of information system development. To compile documents that are consistent, complete and in accordance with standards, both from a technical and business perspective require enough knowledge. Some previous approaches, such as GUI-F framework, propose automated requirements specification document creation with a variety of different methods. However, most of them do not provide detailed guidance on how stakeholders can identify their needs to support the company's business needs. In addition, some methods only focus on documenting high level requirements specification, such as use case diagram. As for the code development process, this only represents very basic information and lack of technical aspects. In our previous work, we proposed a Rule-Based Ontology Framework (ROF) for Auto-Generating Requirements Specification. ROF covers 2 processes in requirements engineering, namely: elicitation and documentation. The output of the elicitation process is a list of final requirements that are stored in an ontology structure, called Requirements Ontology (RO). Using RO, the documentation process automatically generates 2 outputs: process model in the Business Process Model and Notation (BPMN) standard and Software Requirements Specification (SRS) documents in the IEEE standard. The aim of this paper is to conduct a feasibility analysis to prove that ROF is feasible to be implemented in an Information System (IS) projects. ROF is implemented in a case study, an IS project that calculates lecturer workload activity at a university in Indonesia. The feasibility analysis is carried out in stages for each output using qualitative and quantitative methods. The results of the analysis show that that the framework is feasible to be implemented in the IS project to minimize effort in generating requirements specification.