1. Auflage - Juni 2009
73,90 Euro
2009. 260 Seiten, Hardcover
ISBN-10: 0-470-40444-2
ISBN-13: 978-0-470-40444-7 - John Wiley & Sons

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Probekapitel

Kurzbeschreibung
This book looks to maximize the probability of revealing latent errors in programs through effective software testing. It covers the program analysis needed for applying a test-case selection method. It teaches the reader to modify the existing method or devise a new method if there is going to be a change in the language or paradigm used. The coverage is independent of the programming languages and paradigms used to construct the program under test. Includes over 200 PowerPoint slides and 40 multiple choice questions for exams or self-assessment.

Aus dem Inhalt
Preface.

1 Concepts, Notation, and Principles.

1.1 Concepts, Terminology, and Notation.

1.2 Two Principles of Test-Case Selection.

1.3 Classification of Faults.

1.4 Classification of Test-Case Selection Methods.

1.5 The Cost of Program Testing.

2 Code-Based Test-Case Selection Methods.

2.1 Path Testing.

2.2 Statement Testing.

2.3 Branch Testing.

2.4 Howden's and McCabe's Methods.

2.5 Data-Flow Testing.

2.6 Domain-Strategy Testing.

2.7 Program Mutation and Fault Seeding.

2.8 Discussion.

Exercises.

3 Specification-Based Test-Case Selection Methods.

3.1 Subfunction Testing.

3.2 Predicate Testing.

3.3 Boundary-Value Analysis.

3.4 Error Guessing.

3.5 Discussion.

Exercises.

4 Software Testing Roundup.

4.1 Ideal Test Sets.

4.2 Operational Testing.

4.3 Integration Testing.

4.4 Testing Object-Oriented Programs.

4.5 Regression Testing.

4.6 Criteria for Stopping a Test.

4.7 Choosing a Test-Case Selection Criterion.

Exercises.

5 Analysis of Symbolic Traces.

5.1 Symbolic Trace and Program Graph.

5.2 The Concept of a State Constraint.

5.3 Rules for Moving and Simplifying Constraints.

5.4 Rules for Moving and Simplifying Statements.

5.5 Discussion.

5.6 Supporting Software Tool.

Exercises.

6 Static Analysis.

6.1 Data-Flow Anomaly Detection.

6.2 Symbolic Evaluation (Execution).

6.3 Program Slicing.

6.4 Code Inspection.

6.5 Proving Programs Correct.

Exercises.

7 Program Instrumentation.

7.1 Test-Coverage Measurement.

7.2 Test-Case Effectiveness Assessment.

7.3 Instrumenting Programs for Assertion Checking.

7.4 Instrumenting Programs for Data-Flow-Anomaly Detection.

7.5 Instrumenting Programs for Trace-Subprogram Generation.

Exercises.

Appendix A: Logico-Mathematical Background.

Appendix B: Glossary.

Appendix C: Questions for Self-Assessment.

Bibliography.

Index.