Software source code : statistical modeling /

This book will focus on utilizing statistical modelling of the software source code, in order to resolve issues associated with the software development processes. Writing and maintaining software source code is a costly business; software developers need to constantly rely on large existing code ba...

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Bibliographic Details
Main Authors: Rao Althar, Raghavendra (Author), Bhattacharyya, Siddhartha (Author), Konar, Debanjan (Author), Samanta, Debabrata (Author)
Format: eBook
Language:English
Published: Berlin ; Boston : De Gruyter, [2021]
Series:De Gruyter STEM
Subjects:
Data Mining.
Softwareentwicklung.
Statistik.
COMPUTERS / Software Development & Engineering / General.
data mining
vývoj softvéru
statistika
elektronické dokumenty
ISBN:9783110703399
Online Access: Get full text
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • Chapter 1. Software development processes evolution
  • Chapter 2. A probabilistic model for fault prediction across functional and security aspects
  • Chapter 3. Establishing traceability between software development domain artifacts
  • Chapter 4. Auto code completion facilitation by structured prediction-based auto-completion model
  • Chapter 5. Transfer learning and one-shot learning to address software deployment issues
  • Chapter 6. Enabling intelligent IDEs with probabilistic models
  • Chapter 7. Natural language processing-based deep learning in the context of statistical modeling for software source code
  • Chapter 8. Impact of machine learning in cognitive computing
  • Chapter 9. Predicting rainfall with a regression model
  • Chapter 10. Understanding programming language structure at its full scale
  • References
  • Index

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