Record ID | ia:advancesincomput0086unse |
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001 ocn811400366
003 OCoLC
005 20201022071022.0
008 120430s2012 enka ob 001 0 eng d
006 m o d
007 cr cn|||||||||
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019 $a1113022873$a1113468274
020 $a9780123965196$q(electronic bk.)
020 $a0123965195$q(electronic bk.)
020 $z9780123965356
020 $a1283550741
020 $a9781283550741
020 $a9786613863195
020 $a661386319X
035 $a(OCoLC)811400366$z(OCoLC)1113022873$z(OCoLC)1113468274
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072 7 $aMAT$x015000$2bisacsh
082 04 $a510.78$223
245 00 $aAdvances in computers$nVolume 86 /$cedited by Atif Memon.
260 $aOxford :$bAcademic Press,$c2012.
300 $a1 online resource (xi, 298 pages :) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 0 $aAdvances in computers ;$v86
504 $aIncludes bibliographical references and indexes.
520 $aSince 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.
505 0 $aAdvances 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
505 8 $a3.3. 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 $a2. 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
505 8 $a3.5. (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
505 8 $a2. 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
546 $aEnglish.
650 0 $aGraphical user interfaces (Computer systems)
650 0 $aSystem analysis.
650 7 $aMATHEMATICS$xHistory & Philosophy.$2bisacsh
650 7 $aGraphical user interfaces (Computer systems)$2fast$0(OCoLC)fst00946660
650 7 $aSystem analysis.$2fast$0(OCoLC)fst01141385
655 4 $aElectronic books.
655 0 $aElectronic books.
700 1 $aMemon, Atif M.
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