Empowering Collaborative Programming: The Colab Code Strategy for Consistency and Awareness

Authors

  • Girish Navale, Pallavi V Baviskar, Shital Abhimanyu Patil, Indira P. Joshi, Shraddha R. Khonde, Sneha Ramdas Shegar

Keywords:

real-time collaborative editor, remote collaboration, code sharing, code synchronization

Abstract

The ColabCode is a ground-breaking solution that empowers geographically dispersed individuals working on the same project to collaborate seamlessly and simultaneously. Leveraging advanced technologies and an intuitive user interface, ColabCode provides a comprehensive platform where participants can collaborate, share code, and communicate effectively in real time.ColabCode addresses the challenges faced by distributed teams, allowing them to work cohesively on shared projects. By providing a unified workspace accessible from anywhere, participants can log in to the platform and instantly join the project in progress. Regardless of their location or time zone, team members can start working together, eliminating delays caused by coordination issues. The heart of ColabCode lies in its diverse programming language support. With built-in capabilities for various programming languages such as Python, Java, JavaScript, C++, and more, team members can seamlessly contribute code in their preferred language. This flexibility fosters inclusivity and encourages diverse skill sets, ensuring each member can work efficiently using their expertise.

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References

M. Ahmed-Nacer, C.-L. Ignat, G. Oster, H.-G. Roh, and P. Urso. Evaluating CRDTs for Real-time Document Editing. In Proceedings of the 11th ACM symposium on Document Engineering, pages 103–112. ACM New York, 2011

G. Oster, P. Urso, P. Molli, and A. Imine. Data Consistency for P2P Collaborative Editing. In CSCW ’06, pages 259–268. ACM Press.

DESIGN & IMPLEMENTATION OF A REAL-TIME CHAT APPLICATION

Al-Riyami, SS and K.G. Paterson, 2003. Uncertified public key cryptography. Methods for the Ninth World Theoretical Conference furthermore, Use of Cryptology and Information Security, November 30- Dec. 4, Springer Berlin Heidelberg, Taiwan, pages: 452-473. DOI: 10.1007/978-3-540-40061-5_29 Azab, A., P. Watters and R. Layton, 2012

A. R. S. Gerlicher. A Framework for Real-time Collaborative Engineering in the Automotive Industries. In CDVE’06, pages 164–173. Springer-Verlag, 2006.

S. Kumawat, M. T. Scholar, and A. Khunteta, “A Survey on Operational Transformation Algorithms: Challenges, Issues and Achievements", International Journal of Engineering Science and Technology, Vol. 2, No. 7, (2010), pp. 3311–3319.

M. Goldman, G. Little, and R. C. Miller, “Real-time Collaborative Coding in a Web IDE”, in Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, pp. 155-164.

A. Sarma, “A Survey of Collaborative Tools in Software Development, Technical Report, UCI-ISR-05-3”, Irvine, California

CodeR: Real-time Code Editor Application for Collaborative Programming December 2015 Procedia Computer Science 59:510-519

International Research Journal of Engineering and Technology (IRJET), BROWSER BASED CODE EDITOR

https://www.irjet.net/archives/V8/i5/IRJET-V8I5440.pdf

A Review on Server-Based Code Editor Sonali R. Gujarkar, Samprada D.Nimrad, Shital Meshram

INTERNATIONAL JOURNAL FOR RESEARCH IN EMERGING SCIENCE AND TECHNOLOGY, SPECIAL ISSUE-1-JAN-2017

W. Kimpan, T. Meebunrot, and B. Sricharoen, "Online code editor on Private cloud computing," 2013 International

Computer Science and Engineering Conference (ICSEC), Nakhonpathom, Thailand, 2013, pp. 31-36, doi:10.1109/ICSEC.2013.6694748

H.-G. Roh, M. Jeon, J.-S. Kim, and J. Lee. Replicated Abstract Data Types: Building Blocks for Collaborative Applications. Journal of Parallel and Distributed Computing, 71(3):354–368, 2011.

Wankhede, D.S., Pandit, S., Metangale, N., Patre, R., Kulkarni, S., Minaj, K.A. (2022). Survey on Analyzing Tongue Images to Predict the Organ Affected. In: Abraham, A., et al. Hybrid Intelligent Systems. HIS 2021. Lecture Notes in Networks and Systems, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-96305-7_56

D. Wankhede, V. Mishra, M. Karnik, A. Kekane and A. Shukla, "The Impact of the Latest Technology on Healthcare and how can it be leveraged to improve patient outcomes and reduce Healthcare costs," 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/GCAT59970.2023.10353516.

Sutar, S., Jose, K., Gaikwad, V., Mishra, V., Wankhede, D., & Karnik, M. (2023). Enhancing Data Management: An Integrated Solution for Database Backup, Recovery, Conversion, and Encryption Capabilities. International Journal of Intelligent Systems and Applications in Engineering, 12(6s), 720–734. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4011

Sakhare, N. N., Bangare, J. L., Purandare, R. G., Wankhede, D. S., & Dehankar, P. (2024). Phishing Website Detection Using Advanced Machine Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 12(12s), 329 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4519

P. M, D. S. Wankhede, R. Kumar, G. Ezhilarasan, S. Khurana and G. S. Sahoo, "Leveraging AI-Driven Systems to Advance Data Science Automation," 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India, 2023, pp. 1-7, doi: 10.1109/ICERCS57948.2023.10434009.

Mrs. Disha Sushant Wankhede, Dr. Selvarani Rangasamy,"REVIEW ON DEEP LEARNING APPROACH FOR BRAIN TUMOR GLIOMA ANALYSIS" Journal of Information Technology in Industry, VOL. 9 NO. 1 (2021) pp. 395 - 408 , DOI: https://doi.org/10.17762/itii.v9i1.144

D. Rawat, A. Chaubey, P. Kumar, S. HEMELATHA, P. GAJENDRAN and D. S. Wankhede, "Examining 6G Infrastructure Capabilities: Paving the Way for Future Connectivity," 2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC), Greater Noida, India, 2023, pp. 594-597, doi: 10.1109/PEEIC59336.2023.10451019.

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Published

26.03.2024

How to Cite

Girish Navale, Pallavi V Baviskar, Shital Abhimanyu Patil, Indira P. Joshi, Shraddha R. Khonde, Sneha Ramdas Shegar. (2024). Empowering Collaborative Programming: The Colab Code Strategy for Consistency and Awareness. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 811–819. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5477

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Section

Research Article