Laravel is a web framework built on PHP. That is, the code that has been done has been coded in PHP. You can use it to create High-End Web Applications, you can create the very best web application using Laravel in it. Laravel follows the architectural pattern of MVC (Model View Controller). Laravel was created by Taylor Otwell.

Advantages of Laravel?

• Open Source
• Collection of tools
• Save Time
• Improve Productiity
• Robust and Easy
• Security of the Application
• Authentication
• Routing
• Templating

Requirements for Learning Laravel

Do You Know

• HTML
• CSS
• JavaScript
• SQL
• PHP OOP
• MVC
• Composer

Laravel Requirements

• PHP 7.2.0 or Higher
• XAMPP (Apache + MariaDB + PHP + Perl)
• WAMP/LAMP/MAMP
• Composer
• Text/Code Editor- Notepad++, VS Code, ATOM, Brackets
• Web Browser- Google Chrome, Mozilla Firefox, Edge

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• Client Side Execution
• Validation on Browser
• Easy Language

Disadvantage of JavaScript

• Less Secure
• No Hardware Access
• JavaScript Enable Browsers

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HTML is one of the most important aspects in website design that should be taken into consideration. HTML coding commands are very simple. In addition, various Internet browsers are designed to make HTML easy to read. Designing a website is not a very difficult task if one follows a systematic process. If the procedures are not followed, it may be more difficult than rocket science.

HTML is for hypertext markup language and is a primary building block for building a website. HTML to create Web pages. HTML elements are represented by the tags. HTML tags identify content elements such as “title”, “title”, “paragraph”, “table”, and so on. The browser does not display the HTML tags, but use them to display the contents of the page.

HTML Tags:

In HTML are tags of three main types; Opening tag, closing tags, and content tags. Each tag has its own individual working methods. All these tags help us to run our programs and documents correctly and without any errors.

The HTML program is started using the tag. This tag indicates that the HTML code or text that is displayed in the browser.

The second tag in any HTML document is the tag. It represents the title tag webpage.

The most important tags; Body tag; Indicates all visible content on the web. It represents all sub-tags to tag web pages.

<P>- This represents the paragraph tag webpage.
<Article>- Indicating that tag, it is an article on the webpage.

<H1> – This tag represents the title; <H2>
represents the subtitles and so proceed.

<B> – defines the bold text.

<I> – Defines the italic text.

<U> – to underline the text on the webpage.

<Table>To create Excel-like tables on the website.

Advantages of using HTML:

1. helps us show our documents and files to an HTML website.
2. HTML is a very easy language, so anyone can learn it and do the job.
3. HTML is an easy language to program. It helps programmers to write code to your website without error and without any mistake.
4. Free to use HTML and easy to learn.
5. All browsers support HTML language.
6. Easy to edit HTML documents.
7. HTML is light and it is the root of all programming languages.

If you struggle with your HTML coding assignments, please send your do my HTML homework for me request to experienced programmers.

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What are the advantages and limitations of static and dynamic software code analysis? Maj. Michael Kleffman of the Air Force’s Application Software Assurance Center of Excellence spelled it out.

Static code analysis advantages:

1. It can find weaknesses in the code at the exact location.
2. It can be conducted by trained software assurance developers who fully understand the code.
3. It allows a quicker turn around for fixes.
4. It is relatively fast if automated tools are used.
5. Automated tools can scan the entire code base.
6. Automated tools can provide mitigation recommendations, reducing the research time.
7. It permits weaknesses to be found earlier in the development life cycle, reducing the cost to fix.

Static code analysis limitations:

1. It is time consuming if conducted manually.
2. Automated tools do not support all programming languages.
3. Automated tools produce false positives and false negatives.
4. There are not enough trained personnel to thoroughly conduct static code analysis.
5. Automated tools can provide a false sense of security that everything is being addressed.
6. Automated tools only as good as the rules they are using to scan with.
7. It does not find vulnerabilities introduced in the runtime environment.

Dynamic code analysis advantages:

1. It identifies vulnerabilities in a runtime environment.
2. Automated tools provide flexibility on what to scan for.
3. It allows for analysis of applications in which you do not have access to the actual code.
4. It identifies vulnerabilities that might have been false negatives in the static code analysis.
5. It permits you to validate static code analysis findings.
6. It can be conducted against any application.

Dynamic code analysis limitations:

1. Automated tools provide a false sense of security that everything is being addressed.
2. Automated tools produce false positives and false negatives.
3. Automated tools are only as good as the rules they are using to scan with.
4. There are not enough trained personnel to thoroughly conduct dynamic code analysis [as with static analysis].
5. It is more difficult to trace the vulnerability back to the exact location in the code, taking longer to fix the problem.

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What is Code Coverage
Code Coverage is an important measurement in Software Quality Engineering. While Software testing ensures correctness of the applications, a metric is required to track the What is Code Coverage Code Coverage is an important measurement in Software Quality Engineering. While Software testing ensures correctness of the applications, a metric is required to track the completeness and effectiveness of the testing undertaken. Code Coverage helps achieve reliable quality through identifying untested areas of the application.

Why Code Coverage
Software testing is a challenging function. The testers need to ensure complete functional and non-functional correctness of the product. Considering the complex workflows and use cases of modern day applications, the number of unique cases that the software can be used often run into millions, which is not feasible to be covered under testing exercise. The testers thus need to
– While Planning Tests
o Ensure covering all workflows in terms of decision trees in the code
o Ensure covering all data values – by identifying patterns rather covering millions of values
– While testing
o Ensuring the testing is completely exercising the whole application with planned and exploratory tests.

At the end of testing, the decision to stop testing and release the product still remains subjective, based on the presence or absence of bugs, inflow of new bugs, success rate of each test cycle, confidence rating of the testers or users, etc. Whereas the definitive metric of quantifying how much of the application was really tested, is missed.

Code Coverage is measured as quantification of application code exercised by the testing activities. Code Coverage can be measured at various levels – in terms of programming language constructs – Packages, Classes, Methods, Branches or in terms of physical artifacts – Folders, Files and Lines. For Eg. A Line Coverage metric of 67% means the testing exercised 67% of all executable statements of the application. A Code Coverage metric usually is accompanied by Code Coverage Analysis Report – which helps identify the un-tested part of the application code, thereby giving the testers early inputs for complete testing.

Benefits of Code Coverage

• Objective Indicator of Test Coverage of application code
• Pointers to uncovered Packages / Classes / Methods / Branches
• Pointers to uncovered Folders / Files / Lines
• Drill down to untested part of source code and devise new tests
• Early Indicator for Testing Quality and Fixing it by adding new tests.
• Remove redundancy in testing
• Increased Confidence for Releases

Test Your Test

Typical Emotional Storyboard

• Write Some code! Happy!
• Does it work? Sad!
• Write some test! Happy!
• Do they really test the code? Sad!
• Measure the Code Coverage! Happy!

Coverage Measurement

1. Shows Which line of code are executed
2. How much of your code is covered by your tests?
3. Your tests test your product
4. Coverage testing tests your tests

Goal

• 100%
• Coverage Ideal
• Not Always possible
• Can be expensive to achieve
• Design for testability

Good: Write more tests
Only way to truly increase code coverage

Bad
Excluding Code to boost Coverage

Types of Coverage

1. Statement Coverage
2. Branch Coverage
3. Path Coverage
4. Loop Path Coverage
5. Data – driven Code
6. Complex Conditionals
7. Hidden Branches

How; – Coverage Tools

1. Clover
2. Cobertura
3. Emma

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Advantages of CVSNT over CVS

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