The book "Intelligent Software Defect Prediction" by Dr. Subramanian S. Iyer provides a comprehensive guide to understanding and managing technological evolution in the software development industry. The author argues that the traditional approach to defect prediction, which focuses solely on statistical analysis and machine learning techniques, is insufficient for predicting defects in complex software systems. Instead, he proposes a new paradigm based on the principles of intelligent software development, which emphasizes the importance of understanding the underlying technology and its evolution over time. The book begins by discussing the history of software development and how it has evolved over the years. It highlights the challenges faced by developers in predicting defects in large-scale software systems and the limitations of traditional approaches. The author then introduces the concept of intelligent software development, which involves understanding the technology and its evolution to develop more reliable and maintainable software systems. The next chapter delves into the principles of intelligent software development, including the use of data mining techniques to identify patterns and trends in software systems. The author also discusses the importance of understanding the underlying technology and its evolution over time, as well as the need for a personal paradigm for perceiving the technological process of developing modern knowledge.

''