Software Error Detection through Testing and Analysis / Edition 1

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An In-Depth Review of Key Techniques in Software Error Detection

Software error detection is one of the most challenging problems in software engineering. Now, you can learn how to make the most of software testing by selecting test cases to maximize the probability of revealing latent errors. Software Error Detection through Testing and Analysis begins with a thorough discussion of test-case selection and a review of the concepts, notations, and principles used in the book. Next, it covers:

Code-based test-case selection methods

Specification-based test-case selection methods

Additional advanced topics in testing

Analysis of symbolic trace

Static analysis

Program instrumentation

Each chapter begins with a clear introduction and ends with exercises for readers to test their understanding of the material. Plus, appendices provide a logico-mathematical background, glossary, and questions for self-assessment. Assuming a basic background in software quality assurance and an ability to write nontrivial programs, the book is free of programming languages and paradigms used to construct the program under test.

Software Error Detection through Testing and Analysis is suitable as a professional reference for software testing specialists, software engineers, software developers, and software programmers. It is also appropriate as a textbook for software engineering, software testing, and software quality assurance courses at the advanced undergraduate and graduate levels.

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Product Details

  • ISBN-13: 9780470404447
  • Publisher: Wiley
  • Publication date: 5/26/2009
  • Edition number: 1
  • Pages: 259
  • Product dimensions: 6.30 (w) x 9.30 (h) x 0.70 (d)

Table of Contents

Preface ix

1 Concepts, Notation, and Principles 1

1.1 Concepts, Terminology, and Notation 4

1.2 Two Principles of Test-Case Selection 8

1.3 Classification of Faults 10

1.4 Classification of Test-Case Selection Methods 11

1.5 The Cost of Program Testing 12

2 Code-Based Test-Case Selection Methods 14

2.1 Path Testing 16

2.2 Statement Testing 17

2.3 Branch Testing 21

2.4 Howden's and McCabe's Methods 23

2.5 Data-Flow Testing 26

2.6 Domain-Strategy Testing 36

2.7 Program Mutation and Fault Seeding 39

2.8 Discussion 46

Exercises 51

3 Specification-Based Test-Case Selection Methods 53

3.1 Subfunction Testing 55

3.2 Predicate Testing 68

3.3 Boundary-Value Analysis 70

3.4 Error Guessing 71

3.5 Discussion 72

Exercises 73

4 Software Testing Roundup 76

4.1 Ideal Test Sets 77

4.2 Operational Testing 80

4.3 Integration Testing 82

4.4 Testing Object-Oriented Programs 84

4.5 Regression Testing 88

4.6 Criteria for Stopping a Test 88

4.7 Choosing a Test-Case Selection Criterion 90

Exercises 93

5 Analysis of Symbolic Traces 94

5.1 Symbolic Trace and Program Graph 94

5.2 The Concept of a State Constraint 96

5.3 Rules for Moving and Simplifying Constraints 99

5.4 Rules for Moving and Simplifying Statements 110

5.5 Discussion 114

5.6 Supporting Software Tool 126

Exercises 131

6 Static Analysis 132

6.1 Data-Flow Anomaly Detection 134

6.2 Symbolic Evaluation (Execution) 137

6.3 Program Slicing 141

6.4 Code Inspection 146

6.5 Proving Programs Correct 152

Exercises 161

7 Program Instrumentation 163

7.1 Test-Coverage Measurement 164

7.2 Test-Case Effectiveness Assessment 165

7.3 Instrumenting Programs forAssertion Checking 166

7.4 Instrumenting Programs for Data-Flow-Anomaly Detection 169

7.5 Instrumenting Programs for Trace-Subprogram Generation 181

Exercises 192

Appendix A Logico-Mathematical Background 194

Appendix B Glossary 213

Appendix C Questions for Self-Assessment 220

Bibliography 237

Index 253

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