Software Source Code
Statistical Modeling
1st Edition
Published on 19. July 2021
XVI, 342 pages
978-3-11-070339-9 (ISBN)
Description
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 bases. Statistical modelling identifies the patterns in software artifacts and utilize them for predicting the possible issues.
More details
Other editions
Additional editions
Raghavendra Rao Althar | Debabrata Samanta | Debanjan Konar
Software Source Code
Statistical Modeling
E-Book
07/2021
1st Edition
De Gruyter
€94.95
Available for download
Raghavendra Rao Althar | Debabrata Samanta | Debanjan Konar
Software Source Code
Statistical Modeling
Book
07/2021
1st Edition
De Gruyter
€94.95
Shipment within 7-9 days
Persons
R.Rao
, First American India;
D.Samanta, S.Bhattacharyya,
Christ Univ., Bangalore;
D.Konar
, Sikkim Manipal Inst. of Technology, India.
Content
- Intro
- 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
