The Use of Computational Intelligence Paradigms in Smart Software Engineering: Techniques, Applications and Challenges

___ Computational Intelligence (CI) is an efficient paradigm for development intelligent systems. This paradigm has resulted from a synergy between cognitive computing, fuzzy sets, Rough sets, bio-inspired computing, machine learning, computer science, engineering, statistics, mathematics, physics, psychology and social sciences. Recently, many researchers have attempted to develop CI methods and algorithms to support the decision-making in different tasks and domains. There has been a recent research in the application of CI paradigms, approaches and techniques to address software engineering(SE) problems . CI offers smart models and intelligent algorithms that can contribute greatly to design formalization and automation. In this paper we clarify many important SE issues, review some of CI techniques and their applications and also highlight challenges.

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