Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference

Year : 2025 | Volume : 12 | Issue : 01 | Page : 8 15
    By

    Faiza Shekh,

  • Khushbu,

  • Kumkum,

  • Sanjeev Patwa,

  1. B.Tech. Student, Department of Computer Science and Engineering, School of Engineering and Technology, Mody University of Science and Technology, Narodara Rural, Rajasthan, India
  2. B.Tech. Student, Department of Computer Science and Engineering, School of Engineering and Technology, Mody University of Science and Technology, Narodara Rural, Rajasthan, India
  3. B.Tech. Student, Department of Computer Science and Engineering, School of Engineering and Technology, Mody University of Science and Technology, Narodara Rural, Rajasthan, India
  4. Associate Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Mody University of Science and Technology, Narodara Rural,, Rajasthan, India

Abstract

Java remains one of the most widely used programming languages across various industries, owing to its robust architecture, platform independence, and extensive ecosystem. Its versatility, scalability, and security make it a preferred choice for developing a wide range of applications, from enterprise software to mobile and web solutions. This study delves into the key factors contributing to Java’s sustained relevance in software development, highlighting its adaptability to evolving technological trends. Furthermore, the discussion extends to Java’s growing significance in modern computing paradigms, including cloud computing, the Internet of Things (IoT), artificial intelligence (AI), and big data analytics. These domains benefit from Java’s efficiency, strong memory management, and vast library support, making it an essential tool for developers tackling complex projects. Additionally, the challenges faced by Java developers, such as performance optimization, security concerns, and competition from emerging languages, are examined. Finally, this study explores Java’s prospects for future innovation and its role in shaping next-generation technologies.

Keywords: Java, programming language, platform independence, software development, cloud computing, IoT

[This article belongs to Recent Trends in Programming languages ]

How to cite this article:
Faiza Shekh, Khushbu, Kumkum, Sanjeev Patwa. Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference. Recent Trends in Programming languages. 2025; 12(01):8-15.
How to cite this URL:
Faiza Shekh, Khushbu, Kumkum, Sanjeev Patwa. Java’s Enduring Popularity: Unraveling the Factors Behind Its Preference. Recent Trends in Programming languages. 2025; 12(01):8-15. Available from: https://journals.stmjournals.com/rtpl/article=2025/view=201465


References

  1. Hamaamin RA, Ali OM, Kareem SW. Java programming language: time permanence comparison with other languages: a review. In ITM Web of Conferences. EDP Sciences. 2024; 64: 01012.
  2. Liang YD. Introduction to Java programming and data structures: comprehensive version. Pearson; London, United Kingdom. 2019.
  3. Yuan MJ. Enterprise J2ME: developing mobile Java applications. Prentice Hall Professional; New Jersey, United States. 2004.
  4. White J, Schmidt D, Gokhale A. Simplifying the development of autonomic enterprise Java Bean applications via model driven development. In Proc ACM/IEEE 8th International Conference on Model Driven Engineering Languages and Systems. 2005 Oct.
  5. Thorn T. Programming languages for mobile code. ACM Comput Surv. 1997 Sep 1; 29(3): 213–39.
  6. Bruegge B, Dutoit AH. Object Oriented Software Engineering: Using UML Patterns and Java. Prentice Hall; New Jersey, United States. 2010. 7. Yourdon E. Java, the Web, and software development. Computer. 1996 Aug; 29(8): 25–30.
  7. Jain S, Alam MA. Comparative Study of Traditional Database and Cloud Computing Database. International Journal of Advanced Research in Computer Science (IJARCS). 2017 Mar 1; 8(2): 80–87.
  8. Krishnamurthy J, Maheswaran M. Programming frameworks for Internet of Things. In: Internet of Things: Principles and Paradigms. Morgan Kaufmann. 2016 Jan 1; 79–102.
  9. Mouratidou M, Lourdas V, Chatzigeorgiou A, Georgiadis CK. An assessment of design patterns’ influence on a Java-based E-commerce application. J Theor Appl Electron Commer Res. 2010 Apr; 5(1): 25–38.
  10. Bajad RA, Srivastava M, Sinha A. Survey on mobile cloud computing. International Journal of Engineering Sciences & Emerging Technologies (IJESET). 2012 Feb; 1(2): 8–19.
  11. Ritika K, Pandey AK, Shukla S. Cluster Formation and Cluster Head Selection to Increase the Lifetime of Heterogeneous Wireless Sensor Network. In Proceedings of the 2022 14th International Conference on Contemporary Computing. 2022 Aug 4; 622–628.
  12. Mishra N, Jha CK. Classification of opinion mining techniques. Int J Comput Appl. 2012; 56(13): 1–6.
Regular Issue Subscription Review Article
Volume 12
Issue 01
Received 30/01/2025
Accepted 11/02/2025
Published 21/02/2025
Publication Time 22 Days
115


My IP

PlumX Metrics