The Resource Advances in computers, Volume 99, edited by Atif Memon, College Park, MD, USA

Advances in computers, Volume 99, edited by Atif Memon, College Park, MD, USA

Label
Advances in computers, Volume 99
Title
Advances in computers
Title number
Volume 99
Statement of responsibility
edited by Atif Memon, College Park, MD, USA
Title variation
Advances in computers
Contributor
Editor
Subject
Genre
Language
eng
Summary
Advances in Computers carries on a tradition of excellence, presenting detailed coverage of innovations in computer hardware, software, theory, design, and applications. The book provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles typically allow. The articles included in this book will become standard references, with lasting value in this rapidly expanding field. Presents detailed coverage of recent innovations in computer hardware, software, theory, design, and applicationsIncludes in-depth surveys and tutoria
Member of
Cataloging source
MiAaPQ
Dewey number
  • 004.67
  • 004.678
Illustrations
  • illustrations
  • portraits
  • charts
Index
index present
LC call number
QA76
LC item number
.A38 2015
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Memon, Atif
Series statement
Advances in Computers
Series volume
v.Volume 99
http://library.link/vocab/subjectName
  • Electronic data processing
  • Computers
Label
Advances in computers, Volume 99, edited by Atif Memon, College Park, MD, USA
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • Front Cover; Advances in Computers; Copyright; Contents; Preface; Chapter One: Combinatorial Testing: Theory and Practice; 1. Introduction; 1.1. Empirical Data on Failures; 1.2. Implications for Testing; 2. Covering Arrays; 2.1. History of DoE; 2.2. From DoE to CAs; 2.3. Combinatorial Coverage; 2.3.1. Measures of Combinatorial Coverage; 2.3.2. Using Combinatorial Coverage; 3. Algorithms for CT; 3.1. Categories of Algorithms; 3.2. Algorithms for Higher Strength Combinatorial Test Suites; 3.3. Example Tools; 3.4. ACTS/CCM; 4. Input Partitioning and Representation
  • 4.1. Combinatorial Issues in Input Model Development4.2. Size Considerations with CAs; 4.3. Modeling Environment Conditions and State; 4.4. Types of Constraints for Input Parameter Model; 4.4.1. Environment Constraints Versus System Constraints; 4.4.2. First-Order Constraints Versus Higher-Order Constraints; 4.4.3. Temporal Constraints Versus Nontemporal Constraints; 5. Constraints Handling in CA Algorithms; 5.1. Representations of Constraints; 5.2. Major Approaches to Constraint Handling; 5.2.1. The Abstract Parameters Approach; 5.2.2. The Submodels Approach; 5.2.3. The Avoid Approach
  • 5.2.4. The Replace Approach5.3. Validity Checking for the Avoid Approach; 5.3.1. Constraint Solving-Based Validity Checking; 5.3.2. Forbidden Tuples-Based Validity Checking; 6. Case Studies; 6.1. Document Object Model; 6.2. Lockheed Martin; 7. Advanced Topics in CT; 7.1. Test Suite Prioritization; 7.1.1. Generation of Prioritized Test Suites by Combinatorial-Based Coverage; 7.1.2. Prioritization of Existing Test Suites by Combinatorial-Based Coverage; 7.2. Sequence Covering Arrays; 7.2.1. Example; 7.2.2. Generating Sequence Covering Arrays; 7.3. Fault Localization
  • 7.3.1. Identifying Failure-Inducing Combinations7.3.2. Identifying Faults in the Source Code; 7.4. Relationship Between CT and Structural Coverage; 7.4.1. Basic Structural Coverage; 7.4.2. Effects of Input Model; 7.5. Testing Very Large Systems; 8. Future Directions; 8.1. Algorithms; 8.2. Input Modeling; 8.3. Harder Problems; Conclusions; References; About the Authors; Chapter Two: Constraint-Based Testing: An Emerging Trend in Software Testing; 1. Introduction; 1.1. Software Testing; 1.2. Constraint-Based Testing; 1.3. Constraint-Based Test Input Generation; 1.4. Organization of the Chapter
  • 2. A Motivating Example3. Bibliographic Notes; 4. Foundations; 4.1. Constraint Generation; 4.1.1. Assignment; 4.1.2. Conditional; 4.1.3. Iteration; 4.2. Constraint Solving and Optimization; 4.3. Linear Programming for Test Data Generation; 4.4. SAT and SMT Solving for Test Input Generation; 4.5. Constraint Programming Approaches for Test Data Generation; 4.6. User-Defined Constraints; 4.7. The w Constraint for Handling Loops; 4.8. Illustrative Example; 5. Extensions; 5.1. Constraint Solving for Floating-Point Computations; 5.2. Test Input Generation for Object-Oriented Code; 6. Perspectives
  • References
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (261 p.)
Form of item
online
Isbn
9780128023396
Media category
computer
Media MARC source
rdamedia
Specific material designation
remote
System control number
  • (EBL)2166962
  • (MiAaPQ)EBC2166962
  • (EXLCZ)993710000000463838
Label
Advances in computers, Volume 99, edited by Atif Memon, College Park, MD, USA
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and indexes
Carrier category
online resource
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
  • Front Cover; Advances in Computers; Copyright; Contents; Preface; Chapter One: Combinatorial Testing: Theory and Practice; 1. Introduction; 1.1. Empirical Data on Failures; 1.2. Implications for Testing; 2. Covering Arrays; 2.1. History of DoE; 2.2. From DoE to CAs; 2.3. Combinatorial Coverage; 2.3.1. Measures of Combinatorial Coverage; 2.3.2. Using Combinatorial Coverage; 3. Algorithms for CT; 3.1. Categories of Algorithms; 3.2. Algorithms for Higher Strength Combinatorial Test Suites; 3.3. Example Tools; 3.4. ACTS/CCM; 4. Input Partitioning and Representation
  • 4.1. Combinatorial Issues in Input Model Development4.2. Size Considerations with CAs; 4.3. Modeling Environment Conditions and State; 4.4. Types of Constraints for Input Parameter Model; 4.4.1. Environment Constraints Versus System Constraints; 4.4.2. First-Order Constraints Versus Higher-Order Constraints; 4.4.3. Temporal Constraints Versus Nontemporal Constraints; 5. Constraints Handling in CA Algorithms; 5.1. Representations of Constraints; 5.2. Major Approaches to Constraint Handling; 5.2.1. The Abstract Parameters Approach; 5.2.2. The Submodels Approach; 5.2.3. The Avoid Approach
  • 5.2.4. The Replace Approach5.3. Validity Checking for the Avoid Approach; 5.3.1. Constraint Solving-Based Validity Checking; 5.3.2. Forbidden Tuples-Based Validity Checking; 6. Case Studies; 6.1. Document Object Model; 6.2. Lockheed Martin; 7. Advanced Topics in CT; 7.1. Test Suite Prioritization; 7.1.1. Generation of Prioritized Test Suites by Combinatorial-Based Coverage; 7.1.2. Prioritization of Existing Test Suites by Combinatorial-Based Coverage; 7.2. Sequence Covering Arrays; 7.2.1. Example; 7.2.2. Generating Sequence Covering Arrays; 7.3. Fault Localization
  • 7.3.1. Identifying Failure-Inducing Combinations7.3.2. Identifying Faults in the Source Code; 7.4. Relationship Between CT and Structural Coverage; 7.4.1. Basic Structural Coverage; 7.4.2. Effects of Input Model; 7.5. Testing Very Large Systems; 8. Future Directions; 8.1. Algorithms; 8.2. Input Modeling; 8.3. Harder Problems; Conclusions; References; About the Authors; Chapter Two: Constraint-Based Testing: An Emerging Trend in Software Testing; 1. Introduction; 1.1. Software Testing; 1.2. Constraint-Based Testing; 1.3. Constraint-Based Test Input Generation; 1.4. Organization of the Chapter
  • 2. A Motivating Example3. Bibliographic Notes; 4. Foundations; 4.1. Constraint Generation; 4.1.1. Assignment; 4.1.2. Conditional; 4.1.3. Iteration; 4.2. Constraint Solving and Optimization; 4.3. Linear Programming for Test Data Generation; 4.4. SAT and SMT Solving for Test Input Generation; 4.5. Constraint Programming Approaches for Test Data Generation; 4.6. User-Defined Constraints; 4.7. The w Constraint for Handling Loops; 4.8. Illustrative Example; 5. Extensions; 5.1. Constraint Solving for Floating-Point Computations; 5.2. Test Input Generation for Object-Oriented Code; 6. Perspectives
  • References
Dimensions
unknown
Edition
First edition.
Extent
1 online resource (261 p.)
Form of item
online
Isbn
9780128023396
Media category
computer
Media MARC source
rdamedia
Specific material designation
remote
System control number
  • (EBL)2166962
  • (MiAaPQ)EBC2166962
  • (EXLCZ)993710000000463838

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