Software engineering with computational intelligence

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Professor Lee's book, "Software Engineering with Computational Intelligence" (SECI), is a groundbreaking contribution to the field of software engineering. It challenges the traditional view of uncertainty, imprecision, fuzziness, and vagueness as peripheral issues, arguing instead that they should be central to the discipline. The complexity and ill-defined nature of the real world necessitate this shift in focus. SECI utilizes computational intelligence (CI) and soft computing (SC) methodologies to address foundational issues in software engineering. CI and SC encompass a range of concepts and techniques essential for the conception, design, construction, and utilization of intelligent systems. Key components include fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing, chaotic computing, and machine learning. The central theme is that combining these methodologies typically yields better performance than using them in isolation. The discussion will particularly emphasize fuzzy logic and fuzzy set theory, highlighting their significance in software engineering. Additionally, some points regarding semantics will be clarified to enhance understanding of the concepts presented.