6 Reasons Why Manual Testing Won’t Replace Automated Testing

There are so many discussions that automation testing is replacing manual testing. A lot of developers & testers in modern era want to look for the help of automation testing to make their lives simple. Test automation has received interest and much attention in recent times. But, the truth is that you can’t expect automation testing to execute all the work done by a software tester. A lot of developers and testers in the modern era prefer to seek the assistance of test automation to make their testing easy. However, test automation doesn’t have the capability to completely replace manual software testing. Therefore, we cannot expect that automation testing is stealing the job of software testers out there in the software testing world.

Reasons Why Test Automation will never replace Manual Testing:

  • It only tests what is predictable- Automated tests assure people that what we anticipate to happen does, in fact, turn out. We name this the “happy path”. Automation testing concentrates on functionality that already exists. It isn’t deep but its coverage is enormous. Test Automated is effective for regression tests, precisely when resources are restricted. But only doing test automation is sure to introduce some drawbacks and disappointment in your software testing process.
  • Automation is excessively expensive for small testing projects- Not just do you have automation testing software to pay for, but you also have high maintenance and management related costs, because of script writing & rewriting, including arrangement, set up and processing times. For big and long term projects, the higher expenses can be worth it. But for small and short projects it’s a massive waste of both money and time. When estimating the potential ROI for an automation purchase, you have to factor in additional man hours, too.
  • Automating usability tests is just impossible- Usability testing cannot be automated and it necessitates a human. You cannot train a system (laptop, computer, etc.) to spot “good” usability vs. “bad” usability. Perhaps you might think like, “Ok, we can easily skip usability testing”. Do not make such type of mistake. By skipping this type of testing, you are introducing an incredible amount of threat. This step in the Quality Assurance process is vital to ensure confidence in the product release. There is no means around involving manual testers in usability testing.
  • Automation Testing can contain faults/ bugs- Just like your app’s code can have bugs, automated tests can too. Automation tests can also catch Issues that are unaware of. If you write tests with bugs, you are literally going to have false positives, which can lead to several threats and problems for your clientele and your team. The human element of manual testing can spot these errors and ensure you are testing appropriately.
  • In agile, testing scripts have to be rewritten – Working with continuous feedback in agile environs means fluid changes to the flow of the product, the User Interface, or even attributes. And nearly every time, a modification entails a rewrite of the automated scripts for the subsequent sprint. Fresh new modifications also affect the testing scripts for regression tests, so even that classic automation example necessitates a lot of updates in agile.
  • Technical limits can come into play- The number of test scenarios is complex or downright impossible to automate. The universal argument is “automated testing is cheap”. But it’s not challenging to spend a ton of money and time on elaborate automation. For instance, testing a series of touch screen devices. How do you automate the understanding of a “swipe“and a “tap”. You cannot do that in a way that is equivalent to human being usage.

Final Verdict

The existence of both automated testing and manual testing forces us to think about our option of tools, their charge, and the rewards they will provide. There are a place and time for both testing techniques. Manual testing helps us understand the complete problem and explore other tests angles with flexibility. Test automation helps save time in the long run by achieving a large number of surface level tests in a limited time. It is up to you to decide where and when every single method of testing is used. Even though automation would not replace forms of manual testing, yet neither will manual testing remove automation. Once the distinction between them is understood, the in-depth dread of automation breaks down and a competent, gainful coordinated attempt rises.

We at ImpactQA provides both Quality Assurance manual testing as well as Automation using all the most recent automation testing and manual testing tools.

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.

Why I talk about Context-Driven Testing?

As we know sometimes Testing Practices and Testing Techniques become very rigid and imitation based. So there must be some way by which we can easily shift our testing practices, techniques and even definition as per the circumstances or requirements. This is exactly Context-Driven Testing.

There can be different circumstances with every project we are going to deal with-

●    Requirements can be documented or not.
●    Enough time vs fighting schedules.
●    Tools Availability.
●    Clients Requirements.
●    Selection of best process for the project.
●    Trained employees’ vs untrained employees.
●    Time zone issues between the Development and Testing teams.

The Testing team working on the Context-driven testing are going to select their testing objectives, techniques, and deliverables (contains test documentation); also find out the details of the specific situation, the wishes of the stakeholders, etc.

The utmost priority of it is about doing the best with what we are having in our pocket. In Spite of applying “Principal practices and industrial testing standards”, we can accept each and every different practice or even different definition which can work best under different circumstances.

Basic principles of Context-driven testing –

●    The actual return of any practice is directly dependent on its context.
●    In context, there are good practices but not best practices.
●    How people are working together is very much important.
●    Over time, project unfolds in many ways, which are often not predictable.
●    The product is a kind of solution, if the problem doesn’t solve, the product doesn’t work.
●    Good Software testing is challenging deep thinking and intensive reasoning task.
●    Can we do the correct work at the correct time to do productive testing of our products via appropriate judgment, skill, and unified work?

Some testers may favor life-cycle models and organizational models. Let’s consider the V-model; it is a kind of disjunction between Testing group and Development group, here the testing team demand for all code along with detailed specifications. Context-driven testing has no room for this kind of philosophy. Also, agile development is related to a particular set of values that belong to only one kind of context. Context-driven testing is far broader than that. Testers get what they get, and they know how to cope with what comes their way. More importantly, a tester is basically a customer advocate. Testers should try their best to understand the customer position and make the best case when they feel it isn’t being addressed.

So the final call will be before ensuing Context-Driven testing, we should ask our self –

●    Do we value more in individuals rather than their interactions over processes or tools?
●    Do we value more in seeing working software over documentation?
●    Do we value more in responding to change over following the plan?

Expert testers can better explore how the product should work from a user’s point of view, and identify and address barriers that prevent users from fully adopting or accepting the product.

Context Driven Testing is not for every organization, and it’s not a replacement for other forms of testing.

Page Object Model and Implementation in Selenium

In testing department of today’s IT sector, Automation has a significant role. IT companies are leaning towards automation testing because there are endless advantages of automating an application. For programming language, automation gives flexibility. There are distinct types of frameworks that companies use for automating their applications. Some of which are mentioned below, and one of which is Page Object Model also popular as POM.

●    Page Object Model (POM)
●    Hybrid
●    Data Driven
●    Keyword Driven

POM is a type of framework which is very easy to understand and easy to implement while making architecture of any automation process. It basically enhances the test maintenance and reduces the possibility of duplication of code, which is very concerned thing in test automation. In other words POM is a structured base object repository design.

In POM we create a page class for each corresponding web page in the application. Now, the page class that we have created contains all the web-elements of that page and also that methods that we will perform on those web-elements, so the name that we give to a method should be according to its functionality, for example- for a log-in page, the name of the method can be login() which only has few elements like user-name, password, log-in button, forget password link, etc. and methods like passing strings in the field and clicking the buttons.

For making a robust and easy to maintain framework we use POM with data driven by collating excel with POM. The best combination would be POM with data driven through excels and run test cases through TestNG

Below mentioned the flowchart will make it clearer to understand:

Flow Chart

Implementation Example in Selenium 

  1. Create a new package file as Practice; we will be creating different packages for Page Objects, Utilities, Test Data, Test Cases and Modular actions. It is always recommended to use this structure, as it is easy to understand, simple to use and easy to maintain.
  2. Create a new class file and refer the name to the actual page from the test object. In our case it is Home Screen and Login Screen.
  3. Create a static method for each element in Home Screen. Each method will have an argument (driver) and returns a value (element).

package Practice;

   import org.openqa.selenium.By;

    import org.openqa.selenium.WebDriver;

    import org.openqa.selenium.WebElement;

public class Home_Screen {

    private static WebElement element = null;

public static WebElement MyAccount(WebDriver driver){

    element = driver.findElement(By.id(“id”));

    return element;

    }

public static WebElement LogOut(WebDriver driver){

    element = driver.findElement(By.id(“logout”));

return element;

    }

}

4.Reason of passing driver as argument selenium is able to locate the element on the browser (driver). Element is returned so that action can be performed on it.
5.Method is declared as public static so that it can be called in any other method without creating instance of the class.
6.Follow same rule for creating another class LogIn Screen.

package Practice;

import org.openqa.selenium.*;

import org.openqa.selenium.WebDriver;

import org.openqa.selenium.WebElement;

public class LogIn_Screen {

        private static WebElement element = null;

    public static WebElement UserName(WebDriver driver){

         element = driver.findElement(By.id(“id”));

         return element;

         }

     public static WebElement Password(WebDriver driver){

         element = driver.findElement(By.id(“id”));

         return element;

         }

     public static WebElement LogIn(WebDriver driver){

         element = driver.findElement(By.id(“id”));

         return element;

         }

}

7. Now create a new class which will be our test case, let’s say we are creating it in package called Framework by name POM.

package Framework;

import java.util.concurrent.TimeUnit;

import org.openqa.selenium.WebDriver;

import org.openqa.selenium.firefox.FirefoxDriver;

// Import package pageObject.*

import pageObjects.Home_Screen;

import pageObjects.LogIn_Screen;

public class POM{

private static WebDriver driver = null;

public static void main(String[] args) {

driver = new FirefoxDriver();

driver.manage().timeouts().implicitlyWait(10, TimeUnit.SECONDS);

driver.get(“http://www.store.demoqa.com”);

// Use page Object library now

Home_Screen.MyAccount(driver).click();

LogIn_Screen.UserName(driver).sendKeys(“testuser_1”);

LogIn_Screen.Password(driver).sendKeys(“Test@123”);

LogIn_Screen.LogIn(driver).click();

System.out.println(” Login Successfully, now it is the time to Log Off buddy.”)

Home_Screen.LogOut(driver).click();

driver.quit();

}

}

8.You will notice that once you type HomeScreen in your test script and the moment you press dot, all the methods in the Home Page will display. We can expose methods in order to reduce duplicated code. We are able to call these method multiple times. This will ensure a better maintainable test code, because we only have to make adjustments and improvements in one particular place.

**Implementation reference is taken from: toolsqa.com.