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 hand,utilizes 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.
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Kartoniert / Broschiert. Zustand: 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. Artikel-Nr. 4952516
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Taschenbuch. Zustand: 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. Artikel-Nr. 101752968
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