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Separation of Concerns principle helps to create flexible, reusable and maintainable software systems. But it is an ongoing process throughout the design process.
Concern it is anything that matters in providing a solution to a problem. Some of the concerns in software may involve:
Example with SmartPhone, let’s say we have the next class:
Continue reading “Separation of Concerns”Coupling and cohesion are metrics to evaluate design complexity.
These metrics helps to achieve a more manageable system.
Coupling focuses on complexity between a module and other modules. If your module is highly reliant on other modules, then this module is tightly coupled to others (puzzle). If your module finds it easy to connect to other modules, this module is loosely coupled to others (Lego).
When evaluating the coupling of a module, you need to consider degree, ease and flexibility.
Continue reading “Coupling and Cohesion”
This example has the next 4 entities:
All of the connections are composition. The system has the next generalization connections:
The attributes in the article are technical capabilities that should be used in order to fulfill the non-functional requirements, so the most important and common quality attributes are:
In reality there are much more quality attributes: wikipedia.
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Adding computing resources without any interruption.
Non-Scalable System, which obviously require a lot of efforts to fix it:
Scalable System:
There are 2 types of scalability: scale up (vertical) and scale out (horizontal).
%20Attributes/ScaleUpScaleDown.png?raw=true)
The preferable option is Scale Out which has 2 main benefits:
Continue reading “Software Quality Attributes”
There are 2 types of system requirements:
The Locust is an alternate tool to the JMeter. Locust allow you to write load tests in python, this tutorial describes how from scratch make a simple load testing and see results. Let’s do the following steps:
Please pay attention to the output url: http://0.0.0.0:8089, please adjust the address to the next: http://localhost:8089, (as the IP-format may not work) and paste to the browser, you should see the next:
Continue reading “Locust as a modern load testing framework”1. Copy a file from the App_Data/logs/ path of the default/cm-5c57dbd5d5-pqwh9 pod into the local C:/myf/log.txt file:
kubectl cp default/cm-5c57dbd5d5-pqwh9:App_Data/logs/log.20201215.092051.txt /myf/log.txt
2. Copy the Sitecore.ContentTesting.dll file from the local machine into the pod with path bin/Sitecore.ContentTesting.dll
kubectl cp C:\Work\Solutions\CT\code\Sitecore.ContentTesting\bin\Debug\Sitecore.ContentTesting.dll default/cm-5c57dbd5d5-pqwh9:.\bin\Sitecore.ContentTesting.dll
3. Copy all the files from the App_Data/logs/ path into the local C:/myf/:
kubectl cp default/cm-5c57dbd5d5-pqwh9:App_Data/logs/ /myf/
Note for the #3: please check that all the files are copied, in my case some of them were missed somehow, if you know why it may happens please let me know, thank you in advance!
Let’s say we have a simple smart contract MemoryToken, it can be even a stub which has only 1 field name.
pragma solidity ^0.5.0;
contract MemoryToken {
string public name = "Memory token";
}
This post is to show how similar every technology to each other. If you experienced with NUnit, XUnit, Jasmine, Protractor, etc., you can easily figure out how to write unit-tests for blockchain smart-contracts using the Truffle tool which under the hood is NodeJS.
Continue reading “Unit-tests for blockchain smart contracts with Truffle”
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