PPT-Improving Bug Localization using Correlations in Crash Repo
Author : calandra-battersby | Published Date : 2015-09-23
David Shaohua Wang Foutse Khomh Ying Zou 2 Crash reports analysis for localizing bugs is a challenging task Mozilla Firefox receives 25 million crash reports
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Improving Bug Localization using Correlations in Crash Repo: Transcript
David Shaohua Wang Foutse Khomh Ying Zou 2 Crash reports analysis for localizing bugs is a challenging task Mozilla Firefox receives 25 million crash reports every day 3. Correlation Objectives i Calculate correlations i Calculate correlations for subgroups using split file i Create scatterplots with lines of best fit for subgroups and multiple correlations Correlation The first infer Fernando . G.S.L. . Brand. ão. ETH Zürich. Based on joint work with . Michał. . Horodecki. . Arxiv:1206.2947. Q+ Hangout, February 2012. Condensed (matter) version of the talk. Finite correlation length implies correlations are short ranged. Pasring. Reporters: R98922004 . Yun-Nung. Chen,. R98922033 Yu-Cheng Liu. Reference. Ming Actor Correlations with Hierarchical Concurrence Parsing (ICASSP 2010). Kun Yuan, . Hongxun. Aditi. . Sen. (De). Harish-Chandra Research Institute, India. Monogamy of Quantum Correlations. Aditi. . Sen. (De). Harish-Chandra Research Institute, India. Co-workers: . Asutosh. , . Salini. , . Polly Huang. Electrical Engineering. National Taiwan University. http://nslab.ee.ntu.edu.tw/. 1. Road Map. Sensor network?. Indoor localization?. The system & . testbed. Technical challenges. Causality Study. Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. Antonio A. F. Loureiro. Universidade Federal de Minas Gerais, . Brazil. loureiro@dcc.ufmg.br. IEEE . LatinCom. 2011, . Belém, . Oct. 26, 2011. Looking into the past. What happened to Jim Gray?. On Sunday, Jan 28, 2007, during a short solo sailing trip to the . Naval Research Laboratory, Monterey . JCSDA Summer Colloquium. July 2012. Santa Fe, NM. Background Error Covariance Modeling. 1. Overview. Strategies for flow dependent error covariance modeling. Ensemble . Risk and Rewards of New Territories. Moderator. : Tom Edwards . (Englobe Inc.). Danica Brinton . (Linden Labs). Rio Hasegawa . (SEGA Japan). Tacey Miller . (Microsoft Corp.). What is a “New Territory”?. Tung Dao* . Lingming. Zhang. . Na Meng*. Virginia Tech*. The University of Texas at Dallas. Background. Bug localization is important in software maintenance. Bug localization is challenging and time-consuming. Bagrada. . hilaris. A Wide-Ranging Pest of . Brassicas. Thomas M. Perring and Darcy Reed. Department of Entomology. Univ. of California-Riverside. Geographic Origin of . B. . hilaris. Africa and the Middle East. Calibration from Integral Data. A.Trkov. , . R.Capote. , O. Cabellos. IAEA, Vienna, Austria. ETSII/UPM Madrid, Spain. Background. Current IAEA CIELO . covariances. based on measured differential data lead to large uncertainties in criticality benchmarks (. Carefully checked my family and home for signs of bed bug infestation myself Name of pest control company: After completing a careful inspection, I certify that to the best of my knowledge: I or a pe
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