General methodological proposals for Computer Science research:Prototyping, mathematical modeling, and the scientific method

«Computer science research methodologies can be broadly categorized into three primary approaches: prototyping, mathematical modelling, and the scientific method. Each methodology offers unique advantages and is suited for different types of research inquiries. Prototyping enables researchers to create tangible representations of their ideas, facilitating iterative testing and refinement of these ideas. Mathematical modelling provides a framework for abstract reasoning, enabling researchers to simulate systems and predict their behaviours. Meanwhile, the scientific method provides a structured approach to inquiry, emphasizing the testing of hypotheses and the validation of empirical findings. The interplay among these methodologies enriches the research landscape, offering diverse perspectives and tools for tackling challenges. For instance, a researcher may begin with a mathematical model to understand a problem theoretically and then use prototyping to validate and refine the model through practical application. Alternatively, employing the scientific method can help researchers systematically evaluate their findings, ensuring that conclusions are backed by rigorous evidence.»

Maria Maura Camac Tiza