Moving from Selenium to Protractor for Test Automation

Protractor is an end-to-end Testing Framework for testing Angular as well as AngularJS applications. It helps you runs tests against your application running in a real browser, interacting in exactly the same way a user would. The first version of Protractor was released in the month of July 2013, when the framework was just a prototype of a particular testing framework. Google, however, with the support of the testing community, is evolving the framework to follow the evolution of AngularJS and to meet the needs of the community that is using AngularJS.

Why use Protractor over Selenium?

Test Your Application like a User

Protractor framework is built on top of WebDriverJS, which uses native events and browser-specific drivers to interact with your application exactly like a user would. It is based on Behaviour Driven approach which allows even a non automation tester to test the application without expertise in automation tool. Example –

describe(‘angularjs homepage’, function() {
 it(‘should greet the named user’, function() {
   // Load the AngularJS homepage.
   browser.get(‘http://www.angularjs.org’);    
   element(by.model(‘yourName’)).sendKeys(‘Julie’);

   var greeting = element(by.binding(‘yourName’));

   // Used to assert that the text element has the required expected value.
   // Protractor patches ‘expect’ to understand promises.

   expect(greeting.getText()).toEqual(‘Hello Julie!’);
 });
});

Advantages over Selenium

JavaScript automation frameworks involve working on asynchronous execution, callbacks, anonymous functions and promise, which is a sequential activity just like finding an object and perform operations on it. Another advantage of transitioning to Protractor/JavaScript is that both the application and the test codebase would be written in the same language.

For Angular Apps

Protractor provides support for Angular-specific locator bindings, which allows you to test Angular-specific web elements without any need for additional setup effort. It has extra locators compared to selenium webdriver. Examples include model, repeater, binding etc.

Angular JS applications have some extra HTML attributes like ng-repeater, ng-controller, ng-model which are not included in Selenium locators. Selenium is not able to identify those web elements using today used Selenium code. Protractor on top of Selenium can handle and control these operations in Web Applications.

Example –

element(by.model(‘locator’)).sendKeys(‘text’);
element(by.binding(‘locator’)).click();

Automatic Waiting

When it comes to waiting for elements on a web page, there is no need to add waits and sleeps to your test. Protractor automatically executes the next step in your test the moment a webpage finishes all pending tasks. There is no need to worry about waiting for your test and webpage to sync in. Protractor, moreover, also speeds up your testing as it avoids the requirement for a lot of “sleeps” and “waits” in your tests, which in turn optimizes sleep and wait times.

Supports Extensibility

Since protractor is a node.js application, can utilize the wide variety of packages that are available in the node. One can extend the framework or add additional features by installing node packages. For example, if you need HTML report you can just use Jasmine HTML Reporter for the clean code you can install eslint or tslint. Likewise, you can install node packages of your choice.

Supports Control Flow

Application Programming Interface (API) is based on promises, which are managed by control flows and adapted for Jasmine. Protractor APIs are purely asynchronous. It maintains a queue of pending promises, called the control flow, to keep execution organized.

Jasmine System Architecture
Jasmine System Architecture

Asynchronous Behavior

Works on NodeJS, so that the asynchronous process helps to speeding up the execution.
Here is how you it is achieved.
 
1) Promise Manager/ Control Flow

It is an abstraction that makes every action to be called one by one, like a queue. Every action returns a special object – Promise. These represent the result of async operation.

2) Second way – async/await

It is new abstraction around promises objects and allows easily chaining actions one by one. The advantage in this is native language construction, instead of Promise Manager, which makes your code look like synchronized, with try/catch and other familiar constructions.

describe(‘angularjs homepage’, function() {
 it(‘should greet the named user’, async function() {
   await browser.get(‘http://www.angularjs.org’);
   await element(by.model(‘yourName’)).sendKeys(‘Julie’);
   var greeting = element(by.binding(‘yourName’));
   expect(await greeting.getText()).toEqual(‘Hello Julie!’);
 });

“await” is like “suspend code execution until a promise returned from the action is resolved”.

Images and Screenshots

Image comparison is very easy in protractor and it works great. Protractor helps you take screenshots on demand and create them in any place needed. You just need to specify the type of Reporter that you want to use.

Example –

jasmine.getEnv().addReporter(new HtmlReporter(){
this.specDone = function(result){
if(result.failedExpectations.length >  0){
//take Screenshot
}
}
}

Conclusion/ Summary

There is a big world of Protractor out there and there are hundreds of packages available in the market offered by NPM to add more features to your test in addition to simple test scenarios.

Which are the Frameworks for Automation Testing?

Test automation framework utilizes software for executing tests and after that find out final the end results and the projected results are the same or not. Each and every company needs software testing satisfactorily and fast too. To achieve this, organizations are changing to utilize automated testing strategies and methods. In short, the best framework or Automation Testing is a valuable mix of a few guidelines, coding ideas, coding standards, methodology, practices, hierarchies, modularity, test data injections, reporting mechanism, and so on to build automation testing. In this manner, the client can follow such core principles while automating application to take the advantages of beneficial results.

Types of Test Automation Frameworks

The best framework for automation testing is as follows:

Carina

Carina is chiefly a Java-based test automation framework built on top of the well-admired open-source solutions (TestNG, Selenium, and Appium) which allows reducing dependence on a specific technology stack. Unites every single testing layers: mobile applications (hybrid, native, web), WEB applications, databases, REST services; Assists each common and the famous browsers (Chrome, Firefox, IE, Safari) and mobile devices (Android/ iOS) – it reuses test automation code between Android/ IOS up to 75-85%; As far as this framework is constructed in Java, it is cross-platform. Tests may be simply executed both on UNIX or Windows OS.

Selenium

Selenium is an incredibly admired open-source automation testing tool. There are two important parts to Selenium. One is Selenium WebDriver, which is the base framework that assists you to deal things like click buttons, set text in fields, and check values on the screen. Another part is known to be as Selenium IDE, a plug-in for FireFox that you can utilize to record the actions you take and the export them to the language (any) to run later.

Serenity

If you are searching for a Java-based framework that integrates with Behavior-driven development (BDD) tools like Cucumber and JBehave (keep your test scenarios at a high level) while accommodating low-level execution facts in your reports, Serenity (also called as Thucydides) might will be the best tool. This tool is perfectly designed to make writing automated acceptance & regression tests easy. It acts as a wrapper on top of BDD and Selenium WebDriver tools.

Cucumber

It is a Behavior Driven Development (BDD) tool which is used for writing acceptance tests for the web applications. The key qualities are as follows:

  • Fast and easy set up and execution;
  • Allows reusing code in the tests;
  • Cross-platform;
  • Previously implemented in Ruby, extended to Java framework;
  • Both specifications, & test documentation, is uploaded in a sole up-to-date document;
  • Useful for the users not familiar with testing. In short, those who can’t read the code;

Cypress

Compared to other tools on this list, Cypress is a more developer-centric framework that significantly focuses to make TDD a reality for developers. It has a separate architecture than Selenium. The fact is while Selenium WebDriver runs slightly outside the browser, Cypress runs inside of it. It also makes it easy for dropping a debugger into your application, which in turn, makes it easier to use the developer tools while you are developing.

Watir

Web Application Testing in Ruby is the oldest framework which is perfectly designed to support users to automate testing a web browser. Just like Selenium, it is a group of tools. The different library in the WATIR suite offers exceptional functions. Whilst WATIR will only support IE running on the Windows Operating System, you can access many others using an exceptional execution of WebDriver called Watir-WebDriver

Appium

Appium is perfectly designed to test mobile applications. It is built with the plan that you shouldn’t be recompiling your application or modifies it in any way to test it.

Apache JMeter

Apache JMeter is flawlessly designed for load testing and can be used to test performance both on static and dynamic resources, Web dynamic apps. This specific tool can simulate a heavy load on a server, network, or object to test its strength or to scrutinize and calculate overall performance under diverse load types.

Robotium

Robotium is a test framework made to make the task simpler to write powerful and solid automatic black-box UI tests, particularly for Android. With the help of Robotium, developers are able to write system, function, & user acceptance test scenarios covering several Android actions.

These are the top test automation frameworks for 2019. It is always better to automate the testing process to save extra money, effort, time, and lessen the number of testing errors.

What are the top misconceptions and myths about TDD?

Test Driven Development (TDD) means “Test Driven Development” which is also referred to as test-driven design is a primarily-accepted and broadly acknowledged methodology in the field of software development. It has become well-liked over the last few decades. The primary goal of TDD is to make the code simple, clear, and bug-free. It typically relies on repetitive or tedious unit tests which are executed on the source code being developed. TDD starts with designing as well as developing tests for all functions of an application. The benefits of TDD have been tested on real projects by big giant companies like IBM, Microsoft, and Springer, and they found that such procedure is enormously beneficial. Here are some common misconceptions about TDD (Test Driven Development):

(1) Misconception 1- TDD (Test Driven Development) is a Time-consuming Method

Every single product development team tries to send a feature-rich product under a specific time period and entirely cost-friendly budget. TDD testing is highly effective and creative process to calculate everlasting advantages. In spite of the fact that, incorporating TDD methods in a complicated project is some way or another projected to bungle up pre-chosen due dates. Yet considering it from the other end, we see that a Test Driven Development system implementation actually draws out developer’s productivity and boost the performance of the project. Fundamentally, it reduces the time-consuming procedures by reducing the rate of flaws and defects found during the application deployment stage. All testers concur that later settling is mundane and tricky, which can be repaid by Test Driven Development process.  Any issues in the initial production risk the position and repute of the company in the market. Overall, TDD can reduce customer abandonment, boosts the productivity of the developer, increase the growth factor of your app, and decreases the costs of customer service.

(2) Misconception 2- TDD is a Software Design Technique

The fact is that TDD isn’t a software design technique approach yet it does assists in better software design. By building up the code utilizing the Test Driven Development best practices; it naturally prompts a superior outlined code as it isn’t likely to make significant test cases for a very low-quality code. However, the design of the app still should be taken into consideration by having a reasonable thought of things like data structures, scalability, design patterns, feasibility, and overall system design and architecture considerations.

(3) Misconception 3- Writing all tests before you Start the Code

The reason it is tough for developers to imagine Test Driven Development working is because software design is an iterative, discovery-driven procedure. Contrary to common belief, architects don’t design the entire skyscraper before any work begins. 100% design-up-front is a misconception in every kind of engineering. The design is exploratory. We try something out, throw them away, and try dissimilar things until we achieve something that we like. Now true, if you wrote all tests up front before you wrote a line of execution code, that would hinder the exploration procedure, but that’s not how successful Test Driven Development works. Instead:

  • Write a single test
  • Watch it fail
  • Implement the code
  • Watch the test pass
  • Do again

(4) Misconception 4- Every single thing Needs Unit Tests

Unit tests work perfectly for pure functions — functions which:

  • Given the similar input, always return the same result
  • No adverse effects- (do not mutate shared state, talk to the network, save data, draw things to screen, etc…)

Hence, Unit tests aren’t solely for pure functions, but the less code relies on any shared state or I/O dependencies; the simpler it will be for testing. There are some codes that won’t be easy to unit test. Loads of your code will draw to the screen, capture user input, talk to the network, query a database, and so on. The code responsible for all of that is impure, thus it is tough to test with unit tests. People end up mocking database drivers, user I/O, network I/O, and all sorts of other things in an attempt to follow the rule that your units need to be tested in isolation. Trying to use unit tests for I/O dependent code will cause troubles and those who criticize that test-first is hard are falling into that trap.

To summarize TDD doesn’t replace traditional testing instead, it defines a proven method to ensure successful unit testing. Explore our exceptional Software Testing Services and get better results by utilizing one of them.

Increasing Importance of Quality Engineering in Software Testing

How can a company win? One of the key criteria is to ensure good quality of its products and services. But the traditional testing and QC paradigm is not enough in the context of emerging technologies. It has proven to be inefficient: if some shortcomings are revealed, the product may have to be redesigned, requiring additional expenses and extra time. That is why something new is being executed in business — quality engineering solutions. Quality Engineering (QE) is the series of procedures by which software quality is analyzed and improved throughout the application or software development lifecycle. It differs from traditional Quality Assurance in that it prevents defects as well as discovers them.

The QE approach implies that every single stage of the product/ software development cycle is under a scrupulous test of quality engineers. Furthermore, the quality maintenance is offered long after the product is delivered. The execution o such strategy in manufacturing or software development procedures guarantees the sufficiency of the output from the very start reduces imperfections, flaws, and reduces potential losses. In other words, quality engineering is the analysis, development, management, and maintenance of diverse systems compliant with high standards.

What are the rewards of Quality Engineering?

With Quality Engineering, the core benefit for your application development cycle is that you are actually making all the proposed advantages of DevOps and Agile more real. Also the teamwork between developers and testers is more real, more in line with the agile ethos. It is also integrated with Test Management solutions so that the outcomes appear on the dashboard instantly, without a human trigger. With shortened release cycles, time to ensure Quality also reduces considerably. Testers have to be involved at the start of the cycle as they will be setting up the testing environment and framework which will be relied upon for all future sprints. Done right, Quality Engineering offers a great deal more speed in testing. It mainly relies more on Test Automation than manual testing. It is hard to imagine a Quality Engineering function that doesn’t have Test Automation at its center. Yet again, done right, it creates more flexibility and speed for the whole development cycle. It is not considered just functional and non-functional testing, but every single layer and integration that can and should be tested.

In current Digital era, a Quality Engineer should have experience in programming and be supposed to be able to write software as the situations demands. While the Software Development team focuses on constantly upgrading the application, the Quality Engineering team main responsibilities are:

  • Setting up new parameters and standards
  • Optimization of test cases, & improving automation efficiency
  • Identification of drawbacks
  • Generating a plan for improvement
  • Plan execution using different tools and methods
  • Assessing & implementing new technologies and tools
  • Following up to make sure that issues have been solved
  • Creating tailor automation solutions to address application specific use cases
  • Create frameworks & accelerators that help scale QE across manifold channels, Enterprise wide.

Quality engineering is driven by emerging technologies like AI (artificial intelligence), Big Data analytics and IoT. Automation is the driving force behind turning the traditional testing into an effectual quality support model.

Bottom line

Performance of the application/ software is of paramount importance. Every outage, crash, drawbacks, and even slowing down of the app or processing/ working on a client request has the potential to impact revenue directly. It is the responsibility of QE team to not only identify such issues, but also work on identifying/removing the root cause of such problems. This demands a sound understanding of app architecture, monitoring tools, several enterprise sub systems that are catering to the app etc. Overall, Quality Engineering team provides substantial insights about the root cause or issue and solved it in the fastest possible manner.

Cloud Computing Trends to Craft in 2019

Ever since its inception in 2000, the Cloud computing has been a buzz topic in the business world and has also proved itself to be the cherry on the cake in terms of digital data processing & storage. Cloud computing is now no longer just a tool, it has advanced as a scalable service offering and a delivery platform in the computing services field. Organizations these days have shifted their focal point towards discovering the appropriate procedures to handle and deal with cloud computing to accomplish their business goals. Along with several value-added services, cloud technologies have emerged from personal cloud storage to a genuine and secure data storage network for the enterprise regardless of its size. So, what’s ahead to 2019 and all important future years? Let us take a look at fresh trending cloud computing attributes of 2019.

Cloud Computing Trends 2019

In the near future specialists foretell that the cloud technologies are more likely to be a utility; this is because approximately every single app that runs on any platform will necessitate storage. In addition, with the advent of IoT, the current era in cloud storage is expected to emerge in the upcoming year. So, let’s take a brief look at “New Cloud Computing Trends in 2019.”

  • Trend of Cloud Storage Capacity

    Get into Cloud Computing if you need Hassle free Storage. Cloud will become an inevitable division of management and operation for almost all enterprises. Software as a Service (SaaS) has already created its trademark in the year 2017 and is now all set to open a flexible and financially smart door for companies and consumers to try early cloud services.

  • Blend of IoT, and Artificial Intelligence with Cloud

    In 2017, the introduction of IoT with its Artificial Intelligence was the talk of the town, and it emerged as the buzzing topic for the business application enthusiasts. The constant progression of IoT with real-time analytics and cloud computing has taken Artificial Intelligence to a new level and has even made it likely for IoT to make things easier and simpler technological interactions at different levels. With IoT spearheading at a fast pace, it is no doubt that it will be at the forefront of technology innovations in 2019 too.

  • Security Becomes Critical

    As we all are aware of the fact that technology has two ways to it. In one side it will give us real power to change the world while in the flip side it always remains prone to the security breach. The advantages of Cloud are trumpeted around the globe and for most enterprises; it has become the simpler decision to embrace Cloud. With the introduction of the GDPR – General Data Protection Regulation, the stress on security concerns has gone even higher. As early as 2019, small enterprises could find themselves threatened with the possibilities of data-theft and an inability to sustain with the General Data Protection Regulation’s rules.

  • Quantum Computing – Closer Look

    We have been discussing quantum computing for decades but in recent times. In reality, as the race for cloud supremacy heats up, we are getting pretty close to realize the dream. All the leading tech giant companies are working around the clock for building the first quantum computer. If they attain that, we will soon make better financial models, solve intricate medical issues, and even we have human-like communications with artificial intelligence. Last November, we took a glance at the fastest available quantum computing platform globally with IBM’s 20-qubit cloud computer. The year 2019 also promises to deliver a whole lot more within the quantum computing space that can modernize cloud services and solutions.

  • Hybrid Based Cloud Services Are on the Hype

    The major complaint about the business owners have when moving their hosting & computing services to the cloud is that it is really difficult. The hybrid cloud can be a blend of on-premise, third-party private cloud, and public cloud services. This system allows workloads to move flawlessly from private to public clouds with no difficulty. With the implementation of the use of a hybrid cloud, enterprises can enjoy a higher degree of flexibility & a range of data deployment options.

Impact of cloud technologies has been global, yet fewer than half companies use public cloud platform. However, the popularity of cloud computing technology is on hype, and 2019 is poised to adopt new cloud technologies and help it achieve new heights.