Analysis on Web Frameworks to Choose the Requirement Based Developing Solution. University of South Asia, Dhaka, Bangladesh.

1. Analysis on Web Frameworks to Choose the
Requirement Based Developing Solution
Presented by
Md. Shamimul Alam , 161-0267-028
Md. Shamim Reza , 153-0252-028
Farzana Afrin , 161-0488-028

2. Objective
Now a days, in this modern world of technology there are thousands of
programming languages around us. Based on these programming
languages people have developed hundreds of Framework. This
becomes really a confusing and challenging matter for companies,
developers and managers while they want to choose a technology for
their business. As there are variety of Frameworks of different
programming languages, the technology decision makers get confused
while choosing a Framework. Considering this as a big problem of the
software industry our aim is to test, analyze, assess, and propose a set
of guidelines on which technology is good for which sort of projects.

3. Frameworks Tested
Laravel (PHP)
CodeIgniter (PHP)
Symfony (PHP)
Zend (PHP)
ASP.Net Core (C#)
Java Spring Boot (Java)
NB: Frameworks choose based on popularity among software industry

4. Metrics Tested
Metrics Measurement Unit
General Load Time Micro Seconds
Data Create Time Micro Seconds
Data Read Time Micro Seconds
Data Update Time Micro Seconds
Data Delete Time Micro Seconds
Configuration Management Easy, Average, Difficult
Database Handling Ability No of Database Type that the Technology can Handle
Template Engine Availability for Design Management Yes, No
Vendor Library No of Vendor or Libraries
System Architecture Pattern Acceptance MVC, HMVC
Routing Robustness Easy, Average, Difficult
CRUD Generator Availability Yes, No
Business Product’s Source-code Safety (Encryption) Yes, No
Enterprise Level Support Yes, No
Open Community Support Yes, No
Documentation for Guideline Yes, No
Feature Focus Software, Website

5. Computer Used for Testing
Machine Type Apple
Model 13.3” 2018
Processor Intel(R) Core(TM) i5 CPU 2.3 GHz
Memory/RAM 8 GB
Operating System macOS Mojave

6. Study Outcomes

7. General Load Time Comparison

8. Data Read Time Comparison

9. Data Create Time Comparison

10. Data Update Time Comparison

11. Data Delete Time Comparison

12. Summarized
Report
Metrics
Laravel
(PHP)
CodeIgniter
(PHP)
Symfony
(PHP)
Zend
(PHP)
ASP.Net Core
(C#)
Spring
(Java)
General Load Time of 1.8 KB Sample View
Content
(Mic Second)
243000 151500 294400 230400 701000 615400
Data Create Time 0.0091 0.0008 0.0497 0.0070 327.3 16800
Data Read Time 0.0087 0.0009 0.0392 0.0068 3.9 3600
Data UpdateTime 0.0103 0.0008 0.0020 0.0014 2 19400
Data Delete Time 0.0092 0.0006 0.0410 0.0009 12.2 4000
Configuration Management Average Easy Average Difficult Difficult Easy
Database HandlingAbility by Default 4 4+ 2 2 1 0
Template Engine Availability for Design
Management
Yes Yes Yes Yes Yes Yes
No of Vendor or Libraries 76 26 103 23 17 15
System ArchitecturePattern Acceptance MVC MCV MVC MVC MVC MVC
Routing Robustness No No Yes No Yes Yes
CRUD GeneratorAvailability No No No No No No
BusinessProduct’sSource-codeSafety
(Encryption)
No No No No Yes Yes
EnterpriseLevel Support No No No No Yes Yes
Open Community Support Yes Yes Yes Yes Yes Yes
Documentationfor Guideline Yes Yes Yes Yes Yes Yes
Feature Focus Website, Software Website, Software Software Software Website, Software Software

13. Method of Data Collection

14. General Load Time

15. Data Create Code Sample
public function store(Request $request)
{
$start = microtime(true);
$user= New User();
$user->name=$request->name;
$user->email=$request->email;
$user->address=$request->address;
$user->age=$request->age;
$user->save();
$end = microtime(true);
$time = $end-$start;
return $time;
}

16. Data Read Code Sample
public function index()
{
$start = microtime(true);
$data['start'] = microtime(true);
$end = microtime(true);
$time = $end-$start;
return $time;
}

17. Data Update Code Sample
public function update(Request $request, $id)
{
$start = microtime(true);
$user= User::find($id);
$user->name=$request->name;
$user->email=$request->email;
$user->address=$request->address;
$user->age=$request->age;
$user->save();
$end = microtime(true);
$time = $end-$start;
return $time;
}

18. Data Delete Code Sample
public function destroy($id)
{
$start = microtime(true);
User::find($id)->delete();
$end = microtime(true);
$time = $end-$start;
return $time;
}

19. Thank You