Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
22.10.2013
Verlag
VDMSeitenzahl
152
Maße (L/B/H)
22,1/15,2/1,8 cm
Gewicht
243 g
Sprache
Englisch
ISBN
978-3-639-04758-5
Recent years have seen great advances in software
engineering and programming languages, but
unfortunately, software is still far from bug-free.
Static analysis is an effective approach to
eliminating numerous bugs, but its conservative
nature of analysis unavoidably constrains its
capacity. Dynamic analysis, on the other hand,
utilizes program runtime execution data, and
automatically infers about program bugs. The two
approaches essentially complement each other, and
this book focuses on dynamic techniques, and
demonstrates how to leverage program runtime data to
improve software quality. The first part of this book introduces statistical
debugging algorithms, which aim at automated
localization of program bugs in the source code based
on statistical analysis of the runtime data. The
second part then dives into the discusion of
automated program failure triage, exploring effective
ways to prioritize software development. For both
parts, comprehensive reviews of related studies are
provided so that readers can easily grasp the state
of the art. This book is designed for both software
engineering researchers and practitioners, and can
also supplement course instruction.
engineering and programming languages, but
unfortunately, software is still far from bug-free.
Static analysis is an effective approach to
eliminating numerous bugs, but its conservative
nature of analysis unavoidably constrains its
capacity. Dynamic analysis, on the other hand,
utilizes program runtime execution data, and
automatically infers about program bugs. The two
approaches essentially complement each other, and
this book focuses on dynamic techniques, and
demonstrates how to leverage program runtime data to
improve software quality. The first part of this book introduces statistical
debugging algorithms, which aim at automated
localization of program bugs in the source code based
on statistical analysis of the runtime data. The
second part then dives into the discusion of
automated program failure triage, exploring effective
ways to prioritize software development. For both
parts, comprehensive reviews of related studies are
provided so that readers can easily grasp the state
of the art. This book is designed for both software
engineering researchers and practitioners, and can
also supplement course instruction.
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