Type Systems in Programming Languages: A Performance, Safety, and Development Efficiency-Analysis of Static (Java/C++) vs. Dynamic (Python) Typing Paradigms

Dr. Ashok Jahagirdar

Abstract: This paper presents a comprehensive comparative analysis of static and dynamic typing paradigms in contemporary programming languages. Through empirical evaluation, we scrutinize Java and C++ as exemplars of static typing, while Python serves as a quintessential representative of dynamic typing. The research delves into performance characteristics, error detection efficacy, development productivity, and maintenance ramifications across these type systems. The study elucidates that, although static typing confers substantial performance advantages (with execution speeds reaching up to 45 times faster) and facilitates early error detection (capturing 85% of type errors at compile-time), dynamic typing fosters a 30% acceleration in initial development cycles. Furthermore, we investigate emerging hybrid methodologies such as gradual typing and contemplate their potential to reconcile the existing paradigm divide.

Keywords: Type Systems, Static Typing, Dynamic Typing, Programming Languages, Performance Analysis, Software Engineering

How to Cite?: Dr. Ashok Jahagirdar, "Type Systems in Programming Languages: A Performance, Safety, and Development Efficiency-Analysis of Static (Java/C++) vs. Dynamic (Python) Typing Paradigms", Volume 15 Issue 1, January 2026, International Journal of Science and Research (IJSR), Pages: 941-943, https://www.ijsr.net/getabstract.php?paperid=SR26113212016, DOI: https://dx.doi.org/10.21275/SR26113212016