Software Source Code : : Statistical Modeling /

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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Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2021
VerfasserIn:
Rao Althar, Raghavendra,
Bhattacharyya, Siddhartha,
Konar, Debanjan,
Samanta, Debabrata,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2021]
©2021
Year of Publication:2021
Language:English
Series:De Gruyter STEM
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Physical Description:1 online resource (XVI, 342 p.)
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id 9783110703399
ctrlnum (DE-B1597)549750
(OCoLC)1262307938
collection bib_alma
record_format marc
spelling 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
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ids_txt_mv (DE-B1597)549750
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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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