Automated Software Engineering : (Record no. 6817)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01761nam a22001817a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250106b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030380083 |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QA76.758 |
| Item number | .S253 2020 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Satapathy, Suresh Chandra |
| 245 ## - TITLE STATEMENT | |
| Title | Automated Software Engineering : |
| Remainder of title | a deep learning-based approach / |
| Statement of responsibility, etc | Suresh Chandra Satapathy, Ajay Kumar Jena, Jagannath Singh, Saurabh Bilgaiyan. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Cham, Switzerland: |
| Name of publisher, distributor, etc | Springer, |
| Date of publication, distribution, etc | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 118 Pages; |
| Dimensions | 23 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Learning and Analytics in Intelligent Systems 8. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book discusses various open issues in software engineering, such as the efficiency of automated testing techniques, predictions for cost estimation, data processing, and automatic code generation. Many traditional techniques are available for addressing these problems. But, with the rapid changes in software development, they often prove to be outdated or incapable of handling the softwares complexity. Hence, many previously used methods are proving insufficient to solve the problems now arising in software development. The book highlights a number of unique problems and effective solutions that reflect the state-of-the-art in software engineering. Deep learning is the latest computing technique, and is now gaining popularity in various fields of software engineering. This book explores new trends and experiments that have yielded promising solutions to current challenges in software engineering. As such, it offers a valuable reference guide for a broad audience including systems analysts, software engineers, researchers, graduate students and professors engaged in teaching software engineering. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Software Engineering. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | General Collection | Rabdan Academy | Rabdan Academy | General Stacks | 01/06/2025 | STMM | 321.00 | QA76.758 .S253 2020 | 23294 | 01/06/2025 | C. 1 | 01/06/2025 | Books | AED 321.00 |