A text mining-based method for domains using AI generative text-To-Text

Software reuse is an important principle within a software development process model, that efficiently and effectively manages the different variations that may exist between products of the same family, centered on a domain. However most existing software systems are developed without a process model that clearly defines the disciplines, activities, artifacts, and the actors involved, without considering software development as an engineering discipline with predictable times, cost estimates and obtaining a quality product. An agile model is proposed and evaluated that enables a domain engineering process with the disciplines of analysis, design and implementation using generative artificial intelligence and domain engineering with software production lines to build families of natural language text analysis applications. The study has succeeded in demonstrating the feasibility and effectiveness of software reuse in the text mining domain. By applying domain engineering principles and software production lines, it has been possible to create families of text analysis applications more efficiently and effectively. The results obtained provide new evidence to support the usefulness of this approach in software development.