The Scientific Foundations of Programming Languages: Bridging Theory and Practical Application


Year : 2025 | Volume : 03 | Issue : 01 | Page : 32-41
    By

    V. Basil Hans,

  1. Research Professor, Department of Management & Commerce, Srinivas University, Mangaluru, Karnataka, India

Abstract

document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_abs_177534’);});Edit Abstract & Keyword

The study of programming languages within computer science is fundamental to the development of efficient, reliable, and scalable software systems. However, the degree to which these languages adhere to scientific principles remains a topic of debate. This paper explores the scientific nature of computer science languages by examining their theoretical foundations, design principles, and practical applications. It evaluates how programming languages are grounded in mathematical logic, formal semantics, and computational theory, comparing them to other scientific fields in terms of rigor and methodology. The role of language design in shaping algorithmic efficiency, problem-solving approaches, and software development practices is analyzed, alongside the impact of evolving technologies like artificial intelligence and machine learning on language development. The paper concludes by assessing whether computer science languages, as a discipline, exhibit the same level of scientific precision and predictive power as traditional scientific fields, while acknowledging the unique challenges they face in a rapidly changing technological landscape.

Keywords: Scientific nature, algorithms, computer science languages, mathematical principle

[This article belongs to International Journal of Computer Science Languages ]

How to cite this article:
V. Basil Hans. The Scientific Foundations of Programming Languages: Bridging Theory and Practical Application. International Journal of Computer Science Languages. 2025; 03(01):32-41.
How to cite this URL:
V. Basil Hans. The Scientific Foundations of Programming Languages: Bridging Theory and Practical Application. International Journal of Computer Science Languages. 2025; 03(01):32-41. Available from: https://journals.stmjournals.com/ijcsl/article=2025/view=0


document.addEventListener(‘DOMContentLoaded’,function(){frmFrontForm.scrollToID(‘frm_container_ref_177534’);});Edit

References

  1. Siebes A. Data science as a language: challenges for computer science—a position paper. Int J Data Sci Anal. 2018; 6 (3): 177–187.
  2. Cheng HH. Scientific computing in the CH programming language. Sci Programm. 1993; 2 (3): 49–75.
  3. Jones M, Scaffidi C. Obstacles and opportunities with using visual and domain-specific languages in scientific programming. In: 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Pittsburgh, PA, USA, September 18–22, 2011. pp. 9–16.
  4. Pantelis G. Programs as the Language of Science. arXiv. arXiv:1811.05116. November 5, 2020.
  5. Alomari Z, El Halimi O, Sivaprasad K, Pandit C. Comparative studies of six programming languages. arXiv. arXiv:1504.00693. April 2, 2015.
  6. Michaelson G. Programming paradigms, Turing completeness and computational thinking. arXiv. arXiv:2002.06178. February 14, 2020.
  7. Kim DYJ. Redefining computer science education: code-centric to natural language programming with AI-based no-code platforms. arXiv. arXiv:2308.13539. August 19, 2023.
  8. Castro LM. It was never about the language: paradigm impact on software design decisions. arXiv. arXiv:2010.08292. October 16, 2020.
  9. Crafa S. The role of concurrency in an evolutionary view of programming abstractions. J Logic Algebra Methods Programm. 2015; 84 (6): 732–741.
Regular Issue Subscription Review Article
Volume 03
Issue 01
Received 27/02/2025
Accepted 28/02/2025
Published 10/03/2025
Publication Time 11 Days
218

async function fetchCitationCount(doi) {
let apiUrl = `https://api.crossref.org/works/${doi}`;
try {
let response = await fetch(apiUrl);
let data = await response.json();
let citationCount = data.message[“is-referenced-by-count”];
document.getElementById(“citation-count”).innerText = `Citations: ${citationCount}`;
} catch (error) {
console.error(“Error fetching citation count:”, error);
document.getElementById(“citation-count”).innerText = “Citations: Data unavailable”;
}
}
fetchCitationCount(“10.37591/IJCSL.v03i01.0”);

Loading citations…