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.
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Kartoniert / Broschiert. Etat : New. Recent years have seen great advances in softwarenengineering and programming languages, butnunfortunately, software is still far from bug-free.nStatic analysis is an effective approach toneliminating numerous bugs, but its conservativennature of analysis u. N° de réf. du vendeur 4952516
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent years have seen great advances in softwareengineering and programming languages, butunfortunately, software is still far from bug-free.Static analysis is an effective approach toeliminating numerous bugs, but its conservativenature of analysis unavoidably constrains itscapacity. Dynamic analysis, on the other handutilizes program runtime execution data, andautomatically infers about program bugs. The twoapproaches essentially complement each other, andthis book focuses on dynamic techniques, anddemonstrates how to leverage program runtime data toimprove software quality.The first part of this book introduces statisticaldebugging algorithms, which aim at automatedlocalization of program bugs in the source code basedon statistical analysis of the runtime data. Thesecond part then dives into the discusion ofautomated program failure triage, exploring effectiveways to prioritize software development. For bothparts, comprehensive reviews of related studies areprovided so that readers can easily grasp the stateof the art. This book is designed for both softwareengineering researchers and practitioners, and canalso supplement course instruction. N° de réf. du vendeur 9783639047585
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Taschenbuch. Etat : Neu. Statistical Debugging and Automated Program FailureTriage | A Statistical Approach to Software Reliability | Chao Liu | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | VDM Verlag Dr. Müller | EAN 9783639047585 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. N° de réf. du vendeur 101752968
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