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 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2021] ©2021 |
Year of Publication: | 2021 |
Language: | English |
Series: | De Gruyter STEM
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Online Access: | |
Physical Description: | 1 online resource (XVI, 342 p.) |
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100 | 1 | |a Rao Althar, Raghavendra, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Software Source Code : |b Statistical Modeling / |c Siddhartha Bhattacharyya, Raghavendra Rao Althar, Debabrata Samanta, Debanjan Konar. |
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2021] | |
264 | 4 | |c ©2021 | |
300 | |a 1 online resource (XVI, 342 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
490 | 0 | |a De Gruyter STEM | |
505 | 0 | 0 | |t Frontmatter -- |t Preface -- |t Contents -- |t Chapter 1. Software development processes evolution -- |t Chapter 2. A probabilistic model for fault prediction across functional and security aspects -- |t Chapter 3. Establishing traceability between software development domain artifacts -- |t Chapter 4. Auto code completion facilitation by structured prediction-based auto-completion model -- |t Chapter 5. Transfer learning and one-shot learning to address software deployment issues -- |t Chapter 6. Enabling intelligent IDEs with probabilistic models -- |t Chapter 7. Natural language processing–based deep learning in the context of statistical modeling for software source code -- |t Chapter 8. Impact of machine learning in cognitive computing -- |t Chapter 9. Predicting rainfall with a regression model -- |t Chapter 10. Understanding programming language structure at its full scale -- |t References -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a 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. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022) | |
650 | 0 | |a Building, Iron and steel. | |
650 | 0 | |a Structural design. | |
650 | 0 | |a Structural engineering. | |
650 | 4 | |a Data Mining. | |
650 | 4 | |a Softwareentwicklung. | |
650 | 4 | |a Statistik. | |
650 | 7 | |a COMPUTERS / Software Development & Engineering / General. |2 bisacsh | |
700 | 1 | |a Bhattacharyya, Siddhartha, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
700 | 1 | |a Konar, Debanjan, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
700 | 1 | |a Samanta, Debabrata, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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856 | 4 | 0 | |u https://doi.org/10.1515/9783110703399 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783110703399 |
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