| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046063306 | |
| 005 | 20210112095327 | |
| 008 | 210111s2020 sz b 001 0 eng d | |
| 020 | ▼a 9783030336233 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 005.1 ▼2 23 |
| 084 | ▼a 005.1 ▼2 DDCK | |
| 090 | ▼a 005.1 ▼b S68197 | |
| 245 | 0 0 | ▼a Software engineering in the era of cloud computing / ▼c Muthu Ramachandran, Zaigham Mahmood, editors. |
| 260 | ▼a Cham, Switzerland : ▼b Springer, ▼c 2020. | |
| 300 | ▼a xxiv, 354 p. ; ▼c 25 cm. | |
| 490 | 1 | ▼a Computer Communications and Networks |
| 504 | ▼a Includes bibliographical references and index. | |
| 505 | 0 | ▼a Part 1 -- Cloud Requirements Engineering and Domain Modelling: 1. Requirement Engineering Framework for Service and Cloud Computing (REF-SCC) -- 2. Towards an Effective Requirement Engineering Approach for Cloud Applications -- 3. Requirements Engineering for Large-Scale Big Data Applications -- 4. Migrating from Monoliths to Cloud-Based Microservices: A Banking Industry Example -- 5. Cloud Enabled Domain Based Software Development -- 6. Security Challenges in Software Engineering for the Cloud: A Systematic Review. |
| 650 | 0 | ▼a Software engineering. |
| 700 | 1 | ▼a Ramachandran, Muthu. |
| 700 | 1 | ▼a Mahmood, Zaigham. |
| 830 | 0 | ▼a Computer Communications and Networks. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 005.1 S68197 | 등록번호 121256046 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
저자소개
Muthu Ramachandran(엮은이)
Zaigham Mahmood(엮은이)
목차
Part 1 - Cloud Requirements Engineering and Domain Modelling: 1. Requirement Engineering Framework for Service and Cloud Computing (REF-SCC).- 2. Towards an Effective Requirement Engineering Approach for Cloud Applications.- 3. Requirements Engineering for Large-Scale Big Data Applications.- 4. Migrating from Monoliths to Cloud-Based Microservices: A Banking Industry Example.- 5. Cloud Enabled Domain Based Software Development.- 6. Security Challenges in Software Engineering for the Cloud: A Systematic Review. Part 2 - Cloud Design and Software Engineering Analytics with Machine Learning Approaches : 7. Software Engineering Framework for Software Defect Management Using Machine Learning Techniques with Azure.- 8. Sentiment Analysis of Twitter Data Through Machine Learning Techniques.- 9. Connection Handler: A Design Pattern for Recovery from Connection Crashes. Part 3 : Cloud Testing and Software Process Improvement as a Service : 10. A Modern Perspective on Cloud Testing Ecosystems.- 11. Towards Green Software Testing in Agile and DevOps using Cloud Virtualization for Environmental Protection.- 12. Machine Learning as a Service for Software Process Improvement.- 13. Comparison of Data Mining Techniques in the Cloud for Software Engineering.