Natural Language Processing for Software Engineering
eBook - PDF

Natural Language Processing for Software Engineering

  1. 544 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Natural Language Processing for Software Engineering

About this book

Discover how Natural Language Processing for Software Engineering can transform your understanding of agile development, equipping you with essential tools and insights to enhance software quality and responsiveness in today's rapidly changing technological landscape.

Agile development enhances business responsiveness through continuous software delivery, emphasizing iterative methodologies that produce incremental, usable software. Working software is the main measure of progress, and ongoing customer collaboration is essential. Approaches like Scrum, eXtreme Programming (XP), and Crystal share these principles but differ in focus: Scrum reduces documentation, XP improves software quality and adaptability to changing requirements, and Crystal emphasizes people and interactions while retaining key artifacts. Modifying software systems designed with Object-Oriented Analysis and Design can be costly and time-consuming in rapidly changing environments requiring frequent updates. This book explores how natural language processing can enhance agile methodologies, particularly in requirements engineering. It introduces tools that help developers create, organize, and update documentation throughout the agile project process.

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Yes, you can access Natural Language Processing for Software Engineering by Rajesh Kumar Chakrawarti,Ranjana Sikarwar,Sanjaya Kumar Sarangi,Samson Arun Raj Albert Raj,Shweta Gupta,K. Sakthidasan Sankaran,Romil Rawat in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Graphics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-Scrivener
Year
2025
Print ISBN
9781394272433
eBook ISBN
9781394272457
Edition
1
Topic
Computer Science
Subtopic
Computer Graphics
Index
Computer Science

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Machine Learning and Artificial Intelligence for Detecting Cyber Security Threats in IoT Environmment
  8. Chapter 2 Frequent Pattern Mining Using Artificial Intelligence and Machine Learning
  9. Chapter 3 Classification and Detection of Prostate Cancer Using Machine Learning Techniques
  10. Chapter 4 NLP-Based Spellchecker and Grammar Checker for Indic Languages
  11. Chapter 5 Identification of Gujarati Ghazal Chanda with Cross-Platform Application
  12. Chapter 6 Cancer Classification and Detection Using Machine Learning Techniques
  13. Chapter 7 Text Mining Techniques and Natural Language Processing
  14. Chapter 8 An Investigation of Techniques to Encounter Security Issues Related to Mobile Applications
  15. Chapter 9 Machine Learning for Sentiment Analysis Using Social Media Scrapped Data
  16. Chapter 10 Opinion Mining Using Classification Techniques on Electronic Media Data
  17. Chapter 11 Spam Content Filtering in Online Social Networks
  18. Chapter 12 An Investigation of Various Techniques to Improve Cyber Security
  19. Chapter 13 Brain Tumor Classification and Detection Using Machine Learning by Analyzing MRI Images
  20. Chapter 14 Optimized Machine Learning Techniques for Software Fault Prediction
  21. Chapter 15 Pancreatic Cancer Detection Using Machine Learning and Image Processing
  22. Chapter 16 An Investigation of Various Text Mining Techniques
  23. Chapter 17 Automated Query Processing Using Natural Language Processing
  24. Chapter 18 Data Mining Techniques for Web Usage Mining
  25. Chapter 19 Natural Language Processing Using Soft Computing
  26. Chapter 20 Sentiment Analysis Using Natural Language Processing
  27. Chapter 21 Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data
  28. Chapter 22 Intelligent Pattern Discovery Using Web Data Mining
  29. Chapter 23 A Review of Security Features in Prominent Cloud Service Providers
  30. Chapter 24 Prioritization of Security Vulnerabilities under Cloud Infrastructure Using AHP
  31. Chapter 25 Cloud Computing Security Through Detection & Mitigation of Zero-Day Attack Using Machine Learning Techniques
  32. Chapter 26 Predicting Rumors Spread Using Textual and Social Context in Propagation Graph with Graph Neural Network
  33. Chapter 27 Implications, Opportunities, and Challenges of Blockchain in Natural Language Processing
  34. Chapter 28 Emotion Detection Using Natural Language Processing by Text Classification
  35. Chapter 29 Alzheimer Disease Detection Using Machine Learning Techniques
  36. Chapter 30 Netnographic Literature Review and Research Methodology for Maritime Business and Potential Cyber Threats
  37. Chapter 31 Review of Research Methodology and IT for Business and Threat Management
  38. About the Editors
  39. Index
  40. Also of Interest
  41. EULA