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Predicting Recurring Crash Stacks Hyunmin Seo and Sunghun Kim Department of Computer Science and Engineering The Hong Kong University of Science and Technology, Hong Kong, China {hmseo, hunkim}@cse.ust.hk
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Document Date: 2018-02-21 17:47:05


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City

Essen / /

Company

Feedback Precision F-Measure / MIT Press / Name Precision / Oracle / 3M / /

Country

China / /

Currency

USD / /

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Event

Product Recall / Product Issues / /

Facility

Engineering The Hong Kong University of Science / /

IndustryTerm

software engineering / Software crash / software failures / large operating systems / software projects / software problems / software failure reports / software failure / software engineering conference / software execution / automation tool / software changes / virtual function call site / comparison algorithm / open source software / /

OperatingSystem

Microsoft Windows / /

Organization

Hong Kong University of Science and Technology / Hong Kong / Predicting Recurring Crash Stacks Hyunmin Seo and Sunghun Kim Department of Computer Science / MIT / Univ. of California / USENIX Association / /

Person

D. J. Hamilton / Yida Tao / Z. Su / Hongyu Zhang / Z. Gu / G. Aul / V / Socorro - Mozilla Crash / Jindae Kim / E. T. Barr / /

/

Position

Reporter / Senator / /

Product

value / L-2 Identifying / precision / F-measure Feedback Prediction Accuracy Measures / L-10 / L-0 / precision P (r) / Nr→r / L-4 / L-3 / Precision P / /

ProgrammingLanguage

C++ / /

ProvinceOrState

California / /

PublishedMedium

Machine Learning / IEEE Transactions on Software Engineering / Lecture Notes in Computer Science / /

RadioStation

2.1 When / /

Technology

Object-Oriented Programming / RAM / comparison algorithm / http / machine learning / operating system / operating systems / /

URL

http /

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