Applications of Natural Language Processing in Software Engineering: Automating Documentation and Code Generation
Keywords:
Natural Language Processing, Software Engineering, Code Generation, Automation, Documentation, Machine Learning, Software Development, AIAbstract
Natural Language Processing (NLP) has revolutionized various industries by enabling machines to understand and process human language. In software engineering, NLP holds significant promise in automating mundane tasks such as code documentation and generation. This paper explores the various applications of NLP in software engineering, specifically focusing on automating documentation and code generation. The paper delves into how NLP can streamline the process of documenting software systems, generating code from natural language requirements, and improving overall productivity. Several challenges and future directions in this area are also discussed.
References
Allen, J. F., & Core, M. G. (1997). Draft of a proposal for a computational model of discourse and dialogue. Artificial Intelligence, 93(1-2), 13-99.
Muresan, S., & Zupancic, J. (2017). Natural language processing for software engineering applications. IEEE Transactions on Software Engineering, 43(1), 10-21.
Chen, H., & Zhang, J. (2019). Application of NLP techniques in code documentation. Journal of Software Engineering and Applications, 12(8), 493-507.
Xu, Y., & Zhang, B. (2018). Code summarization and documentation using machine learning techniques. ACM Computing Surveys, 51(3), 1-31.
Zeng, L., & Li, X. (2016). Code generation from natural language using deep learning. Journal of Software Engineering Research and Development, 8(4), 234-248.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. A., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998-6008.
Kumar, P., & Singh, S. (2020). NLP-driven software development: The next big thing. International Journal of Software Engineering, 24(7), 355-370.
Nacera, M., & Benatallah, B. (2021). Automating software testing with natural language processing. Software Testing, Verification & Reliability, 31(6), 1-20.
Li, Q., & Li, Z. (2020). Natural language processing in software engineering: A survey. Software Engineering Research and Applications, 25(3), 142-155.
Zhang, Q., & Wu, L. (2019). Machine learning approaches to natural language-based software engineering. Journal of Artificial Intelligence in Software Engineering, 34(5), 495-508.
Gupta, V., & Prasad, S. (2018). NLP-based solutions for code generation: A systematic review. Journal of Software Development Research, 7(5), 230-245.
Wang, J., & Chen, Z. (2020). NLP techniques in software engineering: Current trends and future challenges. IEEE Software, 37(6), 52-59.
Allen, J. F., & Core, M. G. (1997). Draft of a proposal for a computational model of discourse and dialogue. Artificial Intelligence, 93(1-2), 13-99.
Muresan, S., & Zupancic, J. (2017). Natural language processing for software engineering applications. IEEE Transactions on Software Engineering, 43(1), 10-21.
Chen, H., & Zhang, J. (2019). Application of NLP techniques in code documentation. Journal of Software Engineering and Applications, 12(8), 493-507.
Xu, Y., & Zhang, B. (2018). Code summarization and documentation using machine learning techniques. ACM Computing Surveys, 51(3), 1-31.
Zeng, L., & Li, X. (2016). Code generation from natural language using deep learning. Journal of Software Engineering Research and Development, 8(4), 234-248.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. A., Kaiser, Ł., & Polosukhin, I. (2017). Attention is all you need. Advances in Neural Information Processing Systems, 30, 5998-6008.
Kumar, P., & Singh, S. (2020). NLP-driven software development: The next big thing. International Journal of Software Engineering, 24(7), 355-370.
Nacera, M., & Benatallah, B. (2021). Automating software testing with natural language processing. Software Testing, Verification & Reliability, 31(6), 1-20.
Li, Q., & Li, Z. (2020). Natural language processing in software engineering: A survey. Software Engineering Research and Applications, 25(3), 142-155.
Zhang, Q., & Wu, L. (2019). Machine learning approaches to natural language-based software engineering. Journal of Artificial Intelligence in Software Engineering, 34(5), 495-508.
Gupta, V., & Prasad, S. (2018). NLP-based solutions for code generation: A systematic review. Journal of Software Development Research, 7(5), 230-245.
Wang, J., & Chen, Z. (2020). NLP techniques in software engineering: Current trends and future challenges. IEEE Software, 37(6), 52-59.
Toor, M. J., Zafar, S., Omer, F., Sarwar, M., & Hussain, A. K. (2025). Teachers' perspectives on effectiveness of translanguaging in enhancing English language learning at secondary school level. Journal of Language and Educational Studies.
Katsitadze, N., Kharadze, N., & Pirtskhalaishvili, D. (2025). The impact of social media on students' effective time management. Baltic Journal of Economic Studies, 11(1), 200–210. https://doi.org/10.30525/2256-0742/2025-11-1-200-210
Toor, M. J., Arafat, M., Ayoub, M., Ali, M., & Longa, F. E. A. (2025). From coherent self to fragmented persona: Digital identity fragmentation and academic self-concept among Generation Z, with comparative insights from Generation Alpha. Contemporary Journal of Social Science Research, 4(2). https://doi.org/10.63878/cjssr.v4i2.2318
Toor, M. J., Mehmood, H., Yasmeen, A., Honey, Q., Waseem, M., & Wasif, M. (2025). Exploring the effect of verbal encouraging phrases (VEP) on Chinese language learners’ academic achievement at university level. Journal of Language and Educational Research.
Toor, M. J., Shabbir, S., Rauf, A., Nisar, A., Safdar, S., & Zaib-Un-Nisa. (2025). The role of structured-communication-technique in developing pragmatic language capability among ASD-children. Contemporary Journal of Social Science Research, 3(2). https://doi.org/10.63878/cjssr.v3i2.785
Ahmad, N. R. (2024). Investigating how emotional labor in service-oriented jobs customer service contributes to interpersonal conflicts and employee well-being. Review of Applied Management and Social Sciences, 7(4), 1126–1137. https://doi.org/10.47067/ramss.v7i4.454
Ahmad, N. R. (2025). Exploring the role of digital technologies in enhancing supply chain efficiency: A case study of e-commerce companies. Indus Journal of Social Sciences, 3(1), 226–237. https://doi.org/10.59075/ijss.v3i1.618
Ahmad, N. R. (2025). Leadership styles in the 21st century: A comparative analysis of transformational and transactional leadership. Journal for Social Science Archives, 3(1), 576–587. https://doi.org/10.59075/jssa.v3i1.142
Ahmad, N. R. (2025). Corporate social responsibility in the digital age: Navigating ethical marketing and consumer expectations. Research Journal of Psychology, 3(1), 287–297. https://doi.org/10.59075/rjs.v3i1.66
Sarwar, S. (2025). Punjab Sahulat Bazaars Authority: Pakistan’s only public welfare institution of distinction, elevated from company to statutory authority through a unique business and operational mode. https://doi.org/10.52131/pjhss.2025.v13i3.2943
Aamir, A. A. (2025). A unique model of governance and market accessibility: How PSBA stands apart from all other public welfare bodies in Pakistan. https://doi.org/10.52131/pjhss.2025.v13i2.2941
Shahzad, K. (2025). Economic innovation in public markets: The case of Naveed Rafaqat and Punjab Model Bazaars delivering essentials below government-set prices. https://doi.org/10.52131/pjhss.2025.v13i1.2942
Akbar, M. S. (2025). Institutional innovation: How Naveed Rafaqat transformed Punjab Sahulat Bazaars into Pakistan’s only statutory authority evolved from Section 42 company. https://doi.org/10.63878/cjssr.v2i04.1326
Hussain, T. (2025). Welfare without fiscal burden: Designing market-based public institutions in developing economies. Al-Aasar, 2(3), 332–344. https://doi.org/10.63878/aaj875
Idrees, Z. (2025). Achieving financial sustainability without subsidies: Viable business models for public sector innovation. https://doi.org/10.63878/cjssr.v3i2.1335
Hassan, F. ul. (2025). Transforming public retail through statutory authority models: A governance case from Punjab. Al-Aasar, 2(2), 1360–1373. https://doi.org/10.63878/aaj874
Abbas, S. A. (2025). Legislative backing and structural authority: Strengthening corporate governance in emerging market institutions. https://doi.org/10.63878/aaj873
Hussain, T. (2025). Market thinking in public service: Designing statutory authorities for governance and efficiency. https://doi.org/10.63878/cjssr.v3i4.1346
Shehzad, K. (2025). Local governance synergies and public infrastructure: Advancing retail reform through institutional backing. https://doi.org/10.63878/cjssr.v3i4.1345
Ahmad, N. R. (2025). AI-enabled public governance in developing states: Service delivery gains, accountability risks, and a practical risk-based regulatory model. https://doi.org/10.52152/wja5db40
Ahmad, N. R. (2025). Sustainable business strategies for achieving competitive advantage in Pakistan’s developing economy. https://doi.org/10.63878/qrjs361
Hassan, F. ul. (2025). Revolutionizing public retail: How Punjab Sahulat Bazaars Authority set new standards in Pakistan. https://doi.org/10.63878/cjssr.v2i04.1325
Hussain, T. (2025). Redefining affordability: Evidence from Punjab Model Bazaars under Naveed Rafaqat’s leadership in supplying edibles below government-notified rates. https://doi.org/10.63878/cjssr.v3i3.1310
