Wiley
Handbook of Software Fault Localization: Foundations and Advances
Handbook of Software Fault Localization: Foundations and Advances
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Prof. W. Eric Wong and Prof. T.H. Tse's Handbook of Software Fault Localization provides a comprehensive analysis of up-to-date techniques, tools, and essential issues in software fault localization, with an emphasis on practical applications and recent research directions.
Format: Paperback / softback
Length: 350 pages
Publication date: 24 December 2020
Publisher: John Wiley and Sons Ltd
In Handbook of Software Fault Localization: Foundations and Advances, esteemed computer scientists Prof. W. Eric Wong and Prof. T.H. Tse present a comprehensive exploration of cutting-edge techniques, tools, and essential considerations in software fault localization. The authors engage in collective discussions of fault localization strategies, highlighting the most significant aspects of each approach.
The book delves into critical facets of software fault localization, encompassing multiple bugs, successful and failed test cases, coincidental correctness, faults introduced by missing code, the combination of multiple fault localization techniques, ties within fault localization rankings, concurrency bugs, spreadsheet fault localization, and theoretical studies on fault localization.
Readers will derive significant benefits from the authors' straightforward explanations of how to apply cost-effective techniques in various real-world environments. They will also relish the in-depth explorations of recent research directions in this field.
Handbook of Software Fault Localization also includes:
A thorough introduction to the concepts of software testing and debugging, their significance, typical challenges, and the consequences of inadequate 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.
Ideal for researchers, professors, and students studying and working in the field of software engineering and fault localization.
Weight: 666g
ISBN-13: 9781119291800
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