Handbook of Software Fault Localization: Foundations and Advances

Handbook of Software Fault Localization

A comprehensive analysis of fault localization techniques and strategies

In Handbook of Software Fault Localization: Foundations and Advances, distinguished computer scientists Prof. W. Eric Wong and Prof. T.H. Tse deliver a robust treatment of up-to-date techniques, tools, and essential issues in software fault localization. The authors offer collective discussions of fault localization strategies with an emphasis on the most important features of each approach.

The book also explores critical aspects of software fault localization, like multiple bugs, successful and failed test cases, coincidental correctness, faults introduced by missing code, the combination of several fault localization techniques, ties within fault localization rankings, concurrency bugs, spreadsheet fault localization, and theoretical studies on fault localization.

Readers will benefit from the authors’ straightforward discussions of how to apply cost-effective techniques to a variety of specific environments common in the real world. They will also enjoy the in-depth explorations of recent research directions on this topic.

Handbook of Software Fault Localization also includes:

• A thorough introduction to the concepts of software testing and debugging, their importance, typical challenges, and the consequences of poor efforts
• Comprehensive explorations of traditional fault localization techniques, including program logging, assertions, and breakpoints
• Practical discussions of slicing-based, program spectrum-based, and statistics-based techniques
• In-depth examinations of machine learning-, data mining-, and model-based techniques for software fault localization

Perfect for researchers, professors, and students studying and working in the field, Handbook of Software Fault Localization: Foundations and Advances is also an indispensable resource for software engineers, managers, and software project decision makers responsible for schedule and budget control. 0 10114439.pdf 10114439.epub ED 0 <p>Chapter 1: Software Fault Localization: An Overview of Research, Techniques, and Tools</p> <p>Chapter 2: Traditional Techniques for Software Fault Localization</p> <p>Chapter 3: Slicing-Based Techniques for Software Fault Localization</p> <p>Chapter 4: Spectrum-Based Techniques for Software Fault Localization</p> <p>Chapter 5: Statistics-Based Techniques for Software Fault Localization</p> <p>Chapter 6: Machine Learning-Based Techniques for Software Fault Localization</p> <p>Chapter 7: Data Mining-Based Techniques for Software Fault Localization</p> <p>Chapter 8: Information Retrieval-Based Techniques for Software Fault Localization</p> <p>Chapter 9: Model-Based Techniques for Software Fault Localization</p> <p>Chapter 10: Software Fault Localization in Spreadsheets</p> <p>Chapter 11: Theoretical Aspects of Software Fault Localization</p> <p>Chapter 12: Software Fault Localization for Programs with Multiple Bugs</p> Chapter 13: Emerging Aspects of Software Fault Localization Software bugs spreadsheet faults concurrency bugs missing code coincidental correctness program logging assertions breakpoints machine learning fault localization data mining fault localization model-based fault localization