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.
| ISBN: | 9783110703306 |
| Publication date: | 19th July 2021 |
| Author: | Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar, Siddhartha Bhattacharyya |
| Publisher: | De Gruyter |
| Format: | Paperback |
| Pagination: | 358 pages |
| Series: | De Gruyter STEM |
| Genres: |
Software Engineering |
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.
Statistical Modelling of Software Source Code features in the following genres: Computer programming / software engineering, Software Engineering, Databases, Computer science
Statistical Modelling of Software Source Code is available in Paperback
Statistical Modelling of Software Source Code was written by Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar, Siddhartha Bhattacharyya and published by De Gruyter
Statistical Modelling of Software Source Code has 358 pages
Yes it is part of De Gruyter STEM series