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|a QA76.9.U83
|b A38 2012eb
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|2 bisacsh
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|a 510.78
|2 23
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| 049 |
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|a TXAM
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| 245 |
0 |
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|a Advances in computers
|n Volume 86 /
|c edited by Atif Memon.
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| 260 |
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|a Oxford :
|b Academic Press,
|c 2012.
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| 300 |
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|a 1 online resource (xi, 298 pages :) :
|b illustrations
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| 336 |
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|a text
|b txt
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|a computer
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| 338 |
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|a online resource
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|2 rdacarrier
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| 490 |
1 |
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|a Advances in computers ;
|v 86
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| 504 |
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|a Includes bibliographical references and indexes.
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| 520 |
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|a Since its first volume in 1960, Advances in Computers has presented detailed coverage of innovations in computer hardware, software, theory, design, and applications. It has also provided contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of sugnificant, lasting value in this rapidly expanding field. In-depth surveys and tutorials on new computer technologyWell-known authors and researchers in the fieldExtensive bibliographies with most chaptersMany of the volumes are devoted to single themes or subfields of computer science.
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| 505 |
0 |
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|a Advances inCOMPUTERS; Copyright page; Table of Contents; preface; Model-Based Testing: Achievements and Future Challenges; 1. Motivation for Model-Based Testing; 1.1. Software Testing; 1.2. Test Automation 2.0: Model-Based Testing; 1.3. Pros and Cons for MBT; 1.4. Outline; 2. State of the Art in MBT; 2.1. Taxonomy; 2.2. Scenarios; 2.3. Approaches; 2.3.1. Manual Modeling; 2.3.2. Common Model; 2.3.3. Model from Code; 2.3.4. Separate Models; 2.3.5. Models from Test Cases; 2.3.6. Model from Model; 2.4. Effort Comparison; 3. Empirical Evidence and Case Studies; 3.1. Siemens; 3.2. sepp.med
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| 505 |
8 |
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|a 3.3. Microsoft3.4. Conformiq; 3.5. Summary; 4. Advantages and Requirements in Model-Based Testing; 4.1. Higher Test Quality; 4.2. Higher Test Efficiency; 4.3. Perfect Match: Automated Test Execution; 4.4. Complete Approach: Model-Centric Testing; 4.5. Requirements for using MBT in a Project; 5. Future Challenges in Model-Based Testing; 5.1. MBT vs. Agility; 5.2. MBT vs. Model Transformations; 5.3. MBT vs. Requirements Engineering; 5.4. Test Models vs. System Models; 5.5. Tool Integration; 6. Conclusion; References; Cloud Computing Uncovered: A Research Landscape; 1. Introduction
|
| 505 |
8 |
|
|a 2. Cloud Computing Principles and Requirements2.1. Cloud Computing Characteristics; 2.2. Cloud Computing Deployment Models; 2.3. Cloud Computing Service Models (Cloud Service Hierarchical View); 2.3.1. The NIST SPI Model; 2.3.2. IBM Service Model; 3. Cloud Computing Reference Models, Architectures, and Frameworks; 3.1. (What) The Definition of Cloud Computing Reference Model, Architecture, and Framework; 3.2. (Who) Cloud Computing Reference Framework Users; 3.3. (Why) The Need for Cloud Computing Reference Frameworks; 3.4. (When and Where) The Status of Cloud Architecture Reference Models
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| 505 |
8 |
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|a 3.5. (How) A high-Level Comparison Between Cloud Computing Reference Frameworks4. Cloud Computing's Relationship with Other Computing Paradigms; 4.1. Service-Oriented Architecture; 4.2. Grid Computing; 4.3. Parallel and High-Performance Computing; 4.4. Utility Computing; 4.5. Autonomic Computing; 4.6. Virtualization; 4.6.1. Virtualization Technologies; 4.6.2. Virtualization Techniques; 4.6.3. Virtual Appliances; 4.7. Cloud Computing Relationships Summary; 5. Conclusions and Future Directions; References; Advances in User-Session-Based Testing of Web Applications; 1. Introduction
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| 505 |
8 |
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|a 2. Background2.1. Web Applications; 2.2. User-Session-Based Testing; 3. Applications of User-Session-Based Testing; 3.1. Test Suite Reduction; 3.2. Test Case Prioritization; 3.3. Test Case Generation; 3.4. Test Case Repair; 3.5. Frameworks and Tools for User-Session-Based Testing; 4. Conclusions; References; Machine Learning and Event-Based Software Testing: Classifiers for Identifying Infeasible GUI Event Sequences; 1. Introduction; 2. Background and Related Work; 2.1. Graph Model-Based GUI Testing; 2.2. Machine Learning and Software Testing; 2.3. Support Vector Machines
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| 546 |
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|a English.
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| 650 |
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0 |
|a Graphical user interfaces (Computer systems)
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| 650 |
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0 |
|a System analysis.
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| 650 |
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6 |
|a Interfaces graphiques (Informatique)
|
| 650 |
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6 |
|a Analyse de systèmes.
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| 650 |
|
7 |
|a systems analysis.
|2 aat
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| 650 |
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7 |
|a MATHEMATICS
|x History & Philosophy.
|2 bisacsh
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| 650 |
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7 |
|a Graphical user interfaces (Computer systems)
|2 fast
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| 650 |
|
7 |
|a System analysis
|2 fast
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| 655 |
|
7 |
|a Electronic books.
|2 local
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| 700 |
1 |
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|a Memon, Atif M.
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| 710 |
2 |
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|a ScienceDirect (Online service)
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| 776 |
1 |
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|z 0123965357
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| 830 |
|
0 |
|a Advances in computers ;
|v 86.
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| 856 |
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|u http://proxy.library.tamu.edu/login?url=https://www.sciencedirect.com/science/bookseries/00652458/86
|z Connect to the full text of this electronic book
|t 0
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| 936 |
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|a BATCHLOAD
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| 955 |
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|a Elsevier ScienceDirect 2026-2027
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| 994 |
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|a 92
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e QA76.9.U83 A38 2012eb
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA76.9.U83 A38 2012eb
|t 0
|l Available Online
|