Natural Language Processing for Software Engineering


Price: $225.00
(as of Dec 27,2024 04:34:11 UTC – Details)




Publisher ‏ : ‎ Wiley-Scrivener; 1st edition (February 19, 2025)
Language ‏ : ‎ English
Hardcover ‏ : ‎ 544 pages
ISBN-10 ‏ : ‎ 139427243X
ISBN-13 ‏ : ‎ 978-1394272433
Item Weight ‏ : ‎ 1.74 pounds


Natural Language Processing (NLP) is a rapidly growing field that has the potential to revolutionize software engineering. By leveraging NLP techniques, developers can automate tasks, improve code quality, and enhance collaboration among team members.

In software engineering, NLP can be used to analyze and understand natural language text such as code comments, documentation, and user requirements. This can help developers identify patterns, extract key information, and generate insights to improve the software development process.

One key application of NLP in software engineering is code summarization, where algorithms can automatically generate summaries of code snippets to help developers quickly understand the functionality of a piece of code. This can save time and improve code comprehension, especially in large codebases.

NLP can also be used for sentiment analysis of code reviews and feedback, helping teams understand the emotional tone and overall sentiment of comments and reviews. This can facilitate smoother collaboration and communication among team members.

Furthermore, NLP can be used for automated bug triaging, where algorithms can analyze bug reports and automatically assign them to the appropriate developer or team for resolution. This can streamline the bug-fixing process and improve overall efficiency.

Overall, the potential applications of NLP in software engineering are vast and promising. By leveraging NLP techniques, developers can streamline their workflows, improve code quality, and enhance collaboration within their teams. It’s an exciting field with immense potential for innovation and improvement in the software development process.
#Natural #Language #Processing #Software #Engineering

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