Software error detection through testing and analysis [[electronic resource] /] / J.C. Huang

• Autore: Huang J. C. <1935->
• Pubblicazione: Hoboken, N.J., : John Wiley & Sons, c2009
• Descrizione fisica: 1 online resource (271 p.)
• Disciplina: 005.1/4
• Soggetto topico: Computer software - Testing; Computer software - Reliability; Debugging in computer science
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references (p. 237-251) and index.
• Nota di contenuto: SOFTWARE ERROR DETECTION THROUGH TESTING AND ANALYSIS; CONTENTS; 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 Methods3.1 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 Statements5.5 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: GlossaryAppendix C: Questions for Self-Assessment; Bibliography; Index
• Sommario/riassunto: 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 methodsSpecification-based test-case
• Titolo autorizzato: Software error detection through testing and analysis
• ISBN: 1-282-27967-X; 9786612279676; 0-470-46407-0; 0-470-46405-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910811608503321
• Lo trovi qui: Univ. Federico II