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Can I read Software Source Code: Statistical Modeling (De Gruyter STEM) on EtoBox?
Software Source Code: Statistical Modeling (De Gruyter STEM) by Bhattacharyya, Siddhartha, Rao Althar, Raghavendra, Samanta, Debabrata, Konar, Debanjan is a nonfiction available to read on EtoBox.
What is Software Source Code: Statistical Modeling (De Gruyter STEM) about?
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. * Statistic tool for the software engineer
Who reads Software Source Code: Statistical Modeling (De Gruyter STEM)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Bhattacharyya, Siddhartha, Rao Althar, Raghavendra, Samanta, Debabrata, Konar, Debanjan
- Publisher
- de Gruyter GmbH, Walter
- Published
- 2021
- Language
- EN
- ISBN
- 9783110703399
- Category
- nonfiction
- Subjects
- Computer Science, Mathematics, Programming