Introducing Symbolic Execution Slide deck courtesy of Prof. Michael Hicks, University of Maryland, College Park (UMD) Software has bugs • Software has bugs To find them, we use testing and code reviews • • Software has bugs To find them, we use testing and code reviews But some bugs are still missed • • • […]
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Dependence and Data Flow Models (c) 2007 Mauro Pezzè & Michal Young Ch 6, slide 1 Why Data Flow Models? • Models from Chapter 5 emphasized control • Control flow graph, call graph, finite state machines • We also need to reason about dependence • Where does this value of x come from? • What
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Data flow testing (c) 2007 Mauro Pezzè & Michal Young Ch 13, slide 1 Learning objectives • Understand why data flow criteria have been designed and used • Recognize and distinguish basic DF criteria – All DU pairs, all DU paths, all definitions • Understand how the infeasibility problem impacts data flow testing • Appreciate
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VULNERABILITY ASSESSMENT 7CCSMSEM Security Management Dr. Jose M. Such Introduction • Vulnerabilities are those things that can be exploited in order to breach CIA-N • This may be in: • Technology • Processes • People • Main focus in the industry is the wide reporting of the technical • People/processes company specific(?) • Vulnerabilities need
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7CCSMASE Tutorial 7 (Week 8) – Solutions Consider the following program (Euclid’s algorithm): public int gcd(int x, int y) { int tmp; //A //B //C //D //E //F //G //H // I } while(y!=0){ tmp = x % y; x = y; y = tmp; } if(y!=0){ print(“Error in computation.”); exit(1); } return x; (a)
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7CCSMBDT – Big Data Technologies Week 7 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2017/2018 1 Objectives Hive Chapter 9.2 Bagha Thusoo et al. Hive – a petabyte scale data warehouse using Hadoop. ICDE ‘10. https://doi.org/10.1109/ICDE.2010.5447738 http://blog.cloudera.com/wp-content/uploads/2010/01/6-IntroToHive.pdf SparkSQL Chapter 9.1 Bagha M. Armbrust et al. Spark SQL: Relational Data Processing
7CCSMBDT – Big Data Technologies Week 4 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) Spring 2017/2018 1 Objectives Today: MapReduce patterns Numerical summarization (count, max) Filtering Distinct Binning (partitioning records into bins) Sorting Read: Chapter 3.2 from Bagha https://github.com/mattwg/mrjob-examples MapReduce (join, cost measurement) NoSQL databases (intro) 2 MapReduce with python
7CCSMBDT – Big Data Technologies Week 11 Grigorios Loukides, PhD (grigorios.loukides@kcl.ac.uk) 1 Objectives Introduce the format of the exam Go through the main concepts quickly Answer questions 2 Exam The exam will have a weight 80% (the rest 20% from the two courseworks) Format We are waiting for formal
Lecture 4: Practical Reasoning Professor Michael Luck michael.luck@kcl.ac.uk Practical Reasoning • Practical reasoning is reasoning directed towards actions — the process of figuring out what to do: • “Practical reasoning is a matter of weighing conflicting considerations for and against competing options, where the relevant considerations are provided by what the agent desires/values/cares about and
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Kernels … Klaus- ̈ller Lecture at TUB 2021 Digestion: Use of kernels Copyright By PowCoder代写 加微信 powcoder [SSM et al. 98] [SSM et al. 98] [Mika et al. 02] [Zien et al. 00, Tsuda et al. 02, Sonnenburg et al. 05] Kernels for graphs, trees, strings etc. Klaus- ̈ller Lecture at TUB 2021 Remark: Kernelizing