Software Engineering 4.0 and Essential Complexity: Relationship with Classical Software Engineering Literature

This work positions Software Engineering 4.0 as an epistemological interpretation of the evolution of the software engineering discipline. Instead of treating software development primarily as a process of implementation, process control, or delivery optimization, the article argues that the central object of software engineering is the progressive discovery, validation, and stabilization of knowledge about the problem–solution relationship under conditions of complexity and uncertainty. Based on classical contributions such as Brooks’s notion of essential complexity, the evolution of requirements engineering, the adaptive dynamics introduced by Agile methods, the operational feedback cycles enabled by DevOps, and the abstraction mechanisms proposed by Model-Driven Engineering, the paper proposes an integrative interpretation of the historical trajectory of the field. The main theoretical contribution consists in framing Software Engineering 4.0 as a conceptual shift from software understood as a product to software understood as knowledge in maturation. This perspective aims to provide a more coherent theoretical vocabulary for interpreting recurrent phenomena such as requirements volatility, architectural rework, continuous validation needs, and iterative decision-making. This document is a research preprint intended to support academic discussion and future methodological developments derived from the proposed epistemological model.