Performance of Random Testing Through Markov Chain Monte Carlo Methods Bo Zhou‚ Hiroyuki Okamura‚ Member‚ IEEE‚ and Tadashi Dohi‚ Member‚ IEEE Abstract—In this paper‚ we propose a probabilistic approach to finding failure-causing inputs based on Bayesian estimation. According to our probabilistic insights of software testing‚ the test case generation algorithms are developed by Markov chain Mote Carlo (MCMC) methods. Dissimilar to existing random testing schemes such as adaptive random testing‚ our approach
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ACCOUNTING 592 Financial Accounting & Reporting Seminar Spring 2010 Instructor: Office Hours (subject to adjustment): Teresa Gordon Office Hours: W 8:30–11:00 AM Albertsons Bldg. 118 and T‚W‚Th 1:15 - 3:00 PM 885-8960 or by appointment E-mail: tgordon@uidaho.edu Course web page: http://www.cbe.uidaho.edu/Acct592 ------------------------------------------------- MASTER OF ACCOUNTANCY – LEARNING GOALS ------------------------------------------------- -------------------------------------------------
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CERTIFICATE This is to certify that the dissertation (MCA-331) entitled Performance Testing done by CHIRAG GADHOCK‚ Roll No. 07915904409 is an authentic work carried out by her under my guidance. The matter embodied in this project work has not been submitted earlier for the award of any degree or diploma to the best of my knowledge and belief. Date: Signature of the Guide ASST. Professor ACKNOWLEGDMENT I‚ Chirag Gadhock take this opportunity to acknowledge
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in Birmingham on 5th November‚ 2014. The purpose of the test was to determine how efficient‚ effective and satisfying the site would be to potential users. Three participants were used to conduct the test‚ each of them performing four tasks. The testing materials included a laptop with a screen and audio recorder software installed in it. Each participant session lasted approximately thirty (30) minute. In general all participants found the library website (locate.co.uk) not easy to use as participants
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CHAPTER 8 Introduction to Hypothesis Testing 8.1 Inferential Statistics and Hypothesis Testing LEARNING OBJECTIVES 8.2 Four Steps to Hypothesis Testing After reading this chapter‚ you should be able to: 8.3 Hypothesis Testing and Sampling Distributions 8.4 Making a Decision: Types of Error 8.5 Testing a Research Hypothesis: Examples Using the z Test 8.6 Research in Focus: Directional Versus Nondirectional Tests 8.7 Measuring the Size
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Do you have areas of unfinished business? Are there potential personal conflicts that would interfere with helping the client? Do you recognize your own areas of prejudice and vulnerabilities? Counselor impairment often leads to countertransference. The more common characteristics of impairment are: • Fragile self-esteem • Difficulty establishing intimacy in one’s personal life • Professional isolation • A need to rescue clients • A need for reassurance
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Warehouse Testing By : Kartikey Brahmkshatriya (M.C.A) Index 1. Introduction 3 2. About Data Warehouse 3 2.1 Data Warehouse definition 3 3. Testing Process for Data warehouse: 3 3.1 Requirements Testing : 3 3.2 Unit Testing : 4 3.3 Integration Testing : 4 3.3.1 Scenarios to be covered in Integration Testing 5 3.3.2 Validating the Report data 5 3.4 User Acceptance Testing 5 4. Conclusion 5 Introduction This document details the testing process
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Executive summary AT&T is the largest communications holding company in the world by revenue. In 2008‚ the company continued to set the pace for industry growth. Revenues as well as per-share earnings increased during this period. The company strengthened its position in key consumer segments and returned value to stockholders through two means – stock buybacks and strong dividends. Highlights of the company’s 2008 financial performance include consolidated revenues that were up more than 4% over
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Indian Railways (reporting mark IR) It is an Indian state-owned enterprise‚ owned and operated by the Government of India through the Ministry of Railways. It is one of the world’s largest railway networks comprising 115‚000 km (71‚000 mi) of track over a route of 65‚000 km (40‚000 mi) and 7‚500 stations. As of December 2012‚ it transported over 25 million passengers daily (over 9 billion on an annual basis). In 2011‚ IR carried over 8‚900 million passengers annually or more than 24 million passengers
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Module 1: Lesson 5 ASSIGNMENT (12 marks) Lesson 5 Assignment Part 1: Molar Heat Calculations (3 marks) 1. Calculate the molar enthalpy of the NaOH(aq) using the data obtained from this experiment. Show all your work. Answer: Specific heat capacity: 4.19 J/g∙°C 50.0 ml of 1.0 mol/L NAOH Initial temperature: 23.9 °C Final temperature: 32.9 °C Change in temperature: 9 °C Q = mc∆t = (80g)(4.19 J/g∙°C)(9°C) = 3016.8 J or 3.0168 kJ ∆rH = n∆rHm 3.0168 kJ = (0.05
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