Software Source Code : : Statistical Modeling / / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar.
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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Rao Althar, Raghavendra, author. aut http://id.loc.gov/vocabulary/relators/aut Software Source Code : Statistical Modeling / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar. Berlin ; Boston : De Gruyter, [2021] ©2021 1 online resource (XVI, 342 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter STEM 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 restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) Building, Iron and steel. Structural design. Structural engineering. Data Mining. Softwareentwicklung. Statistik. COMPUTERS / Software Development & Engineering / General. bisacsh Bhattacharyya, Siddhartha, author. aut http://id.loc.gov/vocabulary/relators/aut Konar, Debanjan, author. aut http://id.loc.gov/vocabulary/relators/aut Samanta, Debabrata, author. aut http://id.loc.gov/vocabulary/relators/aut Title is part of eBook package: De Gruyter DG Ebook Package English 2021 9783110750720 Title is part of eBook package: De Gruyter DG Plus DeG Package 2021 Part 1 9783110750706 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English 9783110754001 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 9783110753776 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English 9783110754070 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 9783110753837 ZDB-23-DEI EPUB 9783110703535 print 9783110703306 https://doi.org/10.1515/9783110703399 https://www.degruyter.com/isbn/9783110703399 Cover https://www.degruyter.com/document/cover/isbn/9783110703399/original |
language |
English |
format |
eBook |
author |
Rao Althar, Raghavendra, Rao Althar, Raghavendra, Bhattacharyya, Siddhartha, Konar, Debanjan, Samanta, Debabrata, |
spellingShingle |
Rao Althar, Raghavendra, Rao Althar, Raghavendra, Bhattacharyya, Siddhartha, Konar, Debanjan, Samanta, Debabrata, Software Source Code : Statistical Modeling / De Gruyter STEM 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 |
author_facet |
Rao Althar, Raghavendra, Rao Althar, Raghavendra, Bhattacharyya, Siddhartha, Konar, Debanjan, Samanta, Debabrata, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Konar, Debanjan, Konar, Debanjan, Samanta, Debabrata, Samanta, Debabrata, |
author_variant |
a r r ar arr a r r ar arr s b sb d k dk d s ds |
author_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author2 |
Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Konar, Debanjan, Konar, Debanjan, Samanta, Debabrata, Samanta, Debabrata, |
author2_variant |
s b sb d k dk d s ds |
author2_role |
VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn VerfasserIn |
author_sort |
Rao Althar, Raghavendra, |
title |
Software Source Code : Statistical Modeling / |
title_sub |
Statistical Modeling / |
title_full |
Software Source Code : Statistical Modeling / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar. |
title_fullStr |
Software Source Code : Statistical Modeling / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar. |
title_full_unstemmed |
Software Source Code : Statistical Modeling / Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar. |
title_auth |
Software Source Code : Statistical Modeling / |
title_alt |
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 |
title_new |
Software Source Code : |
title_sort |
software source code : statistical modeling / |
series |
De Gruyter STEM |
series2 |
De Gruyter STEM |
publisher |
De Gruyter, |
publishDate |
2021 |
physical |
1 online resource (XVI, 342 p.) Issued also in print. |
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 |
isbn |
9783110703399 9783110750720 9783110750706 9783110754001 9783110753776 9783110754070 9783110753837 9783110703535 9783110703306 |
url |
https://doi.org/10.1515/9783110703399 https://www.degruyter.com/isbn/9783110703399 https://www.degruyter.com/document/cover/isbn/9783110703399/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
005 - Computer programming, programs & data |
dewey-full |
005 |
dewey-sort |
15 |
dewey-raw |
005 |
dewey-search |
005 |
doi_str_mv |
10.1515/9783110703399 |
oclc_num |
1262307938 |
work_keys_str_mv |
AT raoaltharraghavendra softwaresourcecodestatisticalmodeling AT bhattacharyyasiddhartha softwaresourcecodestatisticalmodeling AT konardebanjan softwaresourcecodestatisticalmodeling AT samantadebabrata softwaresourcecodestatisticalmodeling |
status_str |
n |
ids_txt_mv |
(DE-B1597)549750 (OCoLC)1262307938 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Title is part of eBook package: De Gruyter DG Ebook Package English 2021 Title is part of eBook package: De Gruyter DG Plus DeG Package 2021 Part 1 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2021 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2021 |
is_hierarchy_title |
Software Source Code : Statistical Modeling / |
container_title |
Title is part of eBook package: De Gruyter DG Ebook Package English 2021 |
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