Answered step by step
Verified Expert Solution
Link Copied!

Question

1 Approved Answer

In this assignment, we analyze a non-functional property, performance, of a fictional tool SECompress, a configurable command-line tool for compressing data. In addition, the data

image text in transcribed

image text in transcribedimage text in transcribedimage text in transcribed

In this assignment, we analyze a non-functional property, performance, of a fictional tool "SECompress", a configurable command-line tool for compressing data. In addition, the data can be encrypted, signed, segmented, and/or timestamped. All this functionality is modeled by the feature diagram in Figure For all the tasks in this Assignment we will use this tool with the features given in this diagram. Legend: Abstract Feature Concrete Feature Mandatory Optional Alternative Group Figure 1: The Feature Diagram of "SECompress" Performance Data The performance data, given in a csv file, contains different configurations of SECompress with performance measurements, in the same format you saw in the lecture (Slide 26). 1234567Id,secompress,encryption,aes,blowfish,algorithm,rar,zip,signature,timestamp,segmentation,onehundredmb,onegb,performance0,1,0,0,0,1,1,0,0,0,0,0,0,7501,1,0,0,0,1,1,0,0,0,1,1,0,7732,1,0,0,0,1,1,0,0,0,1,0,1,7703,1,0,0,0,1,1,0,0,1,0,0,0,7504,1,0,0,0,1,1,0,0,1,1,1,0,773 CART Data Structure For this assignment sheet we use the following internal datastructure for a CART. We represent a CART as a python dict with exactly the entries as shown in the example below. This example CART has three nodes. The root node "X", and the two child nodes "XL" and "XR". As you can see the child nodes only have a name and a mean but all other fields are set to None. A parent node also has a name and a mean but additionally a feature by which the split is performed, the error of the split and two sucessors. It is important to use exaclty these names for the features: features = ["secompress", "encryption", "aes", "blowfish", "algorithm", "rar", "zip", "signature", "timestamp", "segmentation", "onehundredmb", "onegb"] c) Given a CART and a partial configuration, compute a complete configuration which is in line with the partial configuration and has the least predicted costs. The partial configuration and the configuration are python sets. [4 Points ] 1 def get_optimal_configuration(cart, partial_configuration): 2 \# TODO: Write your code here. And change the return. 3 return \{"rar", "timestamp"\}

Step by Step Solution

There are 3 Steps involved in it

Step: 1

blur-text-image

Get Instant Access to Expert-Tailored Solutions

See step-by-step solutions with expert insights and AI powered tools for academic success

Step: 2

blur-text-image_2

Step: 3

blur-text-image_3

Ace Your Homework with AI

Get the answers you need in no time with our AI-driven, step-by-step assistance

Get Started

Recommended Textbook for

Machine Learning And Knowledge Discovery In Databases European Conference Ecml Pkdd 2014 Nancy France September 15 19 2014 Proceedings Part 3 Lnai 8726

Authors: Toon Calders ,Floriana Esposito ,Eyke Hullermeier ,Rosa Meo

2014th Edition

3662448440, 978-3662448441

Students also viewed these Databases questions

Question

Why is a qualified pension plan such an attractive tax shelter?

Answered: 1 week ago