Software source code : statistical modeling /

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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Hlavní autori: Rao Althar, Raghavendra (Autor), Bhattacharyya, Siddhartha (Autor), Konar, Debanjan (Autor), Samanta, Debabrata (Autor)
Médium: E-kniha
Jazyk:English
Vydavateľské údaje: Berlin ; Boston : De Gruyter, [2021]
Edícia:De Gruyter STEM
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ISBN:9783110703399
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020 |a 9783110703399 
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040 |a DeGruyter  |b eng  |c CVT  |e AACR2 
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080 |a 31  |2 2011 
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. 
260 |a Berlin ;  |a Boston :   |b De Gruyter,   |c [2021] 
300 |a 1 online resource (XVI, 342 p.) 
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 
516 |a text file PDF 
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. 
538 |a Mode of access: Internet via World Wide Web. 
546 |a In English. 
650 4 |a Data Mining. 
650 4 |a Softwareentwicklung. 
650 4 |a Statistik. 
650 7 |a COMPUTERS / Software Development & Engineering / General. 
653 |a data mining 
653 |a vývoj softvéru 
653 |a statistika 
655 4 |a elektronické dokumenty 
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 
856 4 0 |u http://hanproxy.cvtisr.sk/han/cvti-book-degruyter-eisbn-978-3-11-070339-9  |y Vzdialený prístup pre registrovaných používateľov 
910 |b ZE13259 
959 |a 01 
974 |f Elektronické zdroje 
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999 |c 100682  |d 100682