Reading-notes

random module in Python

provides access to functions that support many operations.

Random functions

1-Randint

(If we wanted a random integer)

accepts two parameters: a lowest and a highest number. Generate integers between them

import random
print random.randint(0, 5) // This will output either 1, 2, 3, 4 or 5

2-Random (to get larger numbers)

import random
random.random() * 100

3-Choice (Generate a random value from the sequence sequence.)

import random
myList = [2, 109, False, 10, "Lorem", 482, "Ipsum"]
random.choice(myList)

4-Shuffle ( shuffles the elements in list in place, so they are in a random order)

from random import shuffle
x = [[i] for i in range(10)]
shuffle(x)
Output:
# print x  gives  [[9], [2], [7], [0], [4], [5], [3], [1], [8], [6]]

5-Randrange (Generate a randomly selected element from range(start, stop, step))

random.randrange(start, stop[, step])

import random
for i in range(3):
    print random.randrange(0, 101, 5)

# Risk Analysis

## Why use Risk Analysis?

1- highlights the potential problem areas.

2-helps the developers and managers to mitigate the risks.

unavoidable. risks

there are certain risks that are unavoidable.

ex : The time that you allocated for testing

you have to tackle the situation with care. steps: 1-Conduct Risk Assessment review meeting

2-Use maximum resources to work on high-risk areas

3- Create a Risk Assessment database for future use

4- Identify and notice the risk magnitude indicators: high, medium, low.

Risk Identification:

• Business Risks: It is the risk that may come from your company or your customer, not from your project.

• Testing Risks

• Premature Release Risk: analyze the risk associated with releasing unsatisfactory or untested software is required

• Software Risks: risks associated with the software development process.

Risk Assessment

( assessment has to be dealt programmatically)

• Effect determine the impact of the action

• Cause Initialize scanning the problem and reach to the point that could be the most probable reason behind that

• Likelihood there is a probability that a requirement won’t be satisfied.

How to perform Risk Analysis?

1-Searching the risk

2- Analyzing the impact of each individual risk

3- Measures for the risk identified

TestCoverage

(also called code coverage)

Test coverage is a useful tool for finding untested parts of a codebase.

high coverage numbers are too easy to reach with low quality testing.

TDD is a very useful, but certainly not sufficient,

I would expect a coverage percentage in the upper 80s or 90s. I would be suspicious of anything like 100%

**The reason why people focus on coverage numbers is because they want to know if they are testing enough. **

low coverage numbers, say below half, are a sign of trouble. But high numbers don’t necessarily mean much, and lead to ignorance-promoting dashboards.

You are testing too much if you can remove tests while still having enough.

You can always move slow tests to a later stage in your deployment pipeline, or even pull them out of the pipeline and run them periodically.

### video ##

## how to calculate big O 1- different steps get add (ex: loops ) 2- drop constants( there is no 2n or 3n only powers of n) 3- different parts have different names 4- drop non domenant term