reading-notes

Game of Greed Reading

Random Modules in Python

• Random modules allows you to access many operation, it’s used in Python by importing it:

  import random

• it’s used when you want to pick a certain number from a given range
• When making your password database more secure or powering a random page feature of your website.

Random Functions:

1. Randint: used to get a random number from a given range, it takes two parameters, the high and low values that determine the range. Example:

import random

print random.randint(0, 5), the output should be a number from 1 to 5, 0 is not included .

1. Random: used for a large range of numbers, Example:

import random

random.random() * 100 gives a random number from 0 to 100

1. Choice: it’s used to get a random element from a given list. Example:

import random

random.choice( ['red', 'black', 'green'] ). the output would be any element from the list .

1. Shuffle: shuffles the list elements’ order so they would have a random order. Example;

from random import shuffle

x = [[i] for i in range(10)]

shuffle(x)

Sample output:

print x gives [[9], [2], [7], [0], [4], [5], [3], [1], [8], [6]]

1. Randrange: Generate a randomly selected element from range, it takes three arguments which are : (start, stop, step). Example:

import random

for i in range(3):

print random.randrange(0, 101, 5)

Risk Analysis in Software Testing

Risk Analysis in Software Engineering is the process of analyzing the risks associated with your Testing Project.

the possible risks that you developers could encounter:

• Use of new hardware
• Use of new technology
• Use of new automation tool
• The sequence of code Availability of test resources for the application

Risk magnitude indicators:

• High: when the effect of the risk would be very high and non-tolerable.

• Medium: it is tolerable. The company may suffer financially but there is a limited risk.

• Low: it is tolerable. There lies little or no external exposure or no financial loss.

Risk Identification:

• Business Risks

• Testing Risks

• Premature Release Risk

• Software Risks

Risk Assessment:

the following graph shows the assessment process

How to perform Risk Analysis?

1. Searching the risk

2. Analyzing the impact of each individual risk

3. Measures for the risk identified

TestCoverage

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

measure your testcoverage level :

• The trouble is that high coverage numbers are too easy to reach with low quality testing. At the most absurd level you have AssertionFreeTesting.

• TDD is a very useful, but certainly not sufficient, tool to help you get good tests. if you write good and meaningful tests, your tests coverage percentage would be about 80 to 90%

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

enough testing will be checked if the two following points is true:

• You rarely get bugs that escape into production, and
• You are rarely hesitant to change some code for fear it will cause production bugs.