6. Consider the find Last() method. Consider the AOR³ and theROR mutation operators.(a) What is the minimum number of mutants necessary forcoverage comparable to the strongest graph coveragecriteria? Justify.Find last index of elementCparan x array to searcheparan y value to look forCreturn last index of y in x; -1 if absentOthrows NullPointerException if x is nullpublic int findLast (int x, int y)for (int i-x.length-1; 1 >= 0; i--)Al for (int 1-x.length-1; 10; 1--)(b) List such minimum set of mutants.{if (x[i]y){return 1;}}return -1;(c) Provide reachability conditions, infection conditions, propagation conditions, and test case values to killMutants 1.(d) Provide the test case values to kill that Mutant 1.

Let's solve each part of the problem regarding the findLast method using the provided mutation…

Answered: 6. Consider the find Last() method.…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Using A* Search Algorithm implement some real example like Pac-man or Map Analyzing in Python
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Write an algorithm that uses an adjacency matrix, A[n][n], to determine if a digraph contains the back edge of one of its edges. (The back edge of an edge (i, j) is the edge (j, i).) 2.
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The contents of the array below represent a BST (Binary Search Tree). What would be the contents of the array after 30 is deleted. Briefly explain how 30 would be deleted. Use an X to represent any empty spots in the array. 30 2050 10 25 40 60
Coding in Python, we have the function to perform this task, V col_Hdeg whichinputs the adjacency matrix A of the graph and initializes the array vert_color s tohold vertex colors. It then calculates the degree of each vertex and stores it in thearray degrees.The while loop iterates until all vertices are colored and at each iteration, thevertex v with the highest degree is colored. The array temp is used to find the currentcolors of the neighbors of vertex v and an unused smallest color is determined aftersorting this array.
Hypertune these parameters by using grid search: stack_rgs = StackingRegressor(estimators = [ ('ridge_regression', Ridge(random_state=42)), ('sgdregressor', SGDRegressor(random_state=42)), ('svr', SVR(kernel='rbf'))
Algorithm to Restrictions on Image Points procedure generate( G : group; P : property; s : 1..k+l; i : 1..k+l;[71, 72 ..... 7i-1] : initial segment of base image;var K : group );(*Generate the elements of G (s) whose base image startwith [71, 72 ..... 7i-1] and that may have property P.If one is found then extend K, the subgroup of G (s) of elementswith property P that have already been found, and return to search.*)
This substring search problem seems like a bit of a toy problem. Do I really need tounderstand these complicated algorithms?

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