Top Reasons Why QA Testing is Crucial in Development Process

No single product made by an expert team is entirely free of bugs or needs no perfection and improvement from the very beginning. Particularly in something complicated as software development, where code can be written in several distinct ways, it is very essential to ensure that all team members are on a similar page all the time. That is the reason why the excellence of services can only be guaranteed by a steady and continuous process of defining standards, examining whether the software products meet them, and advising improvement.

QA (Quality assurance) is the process of verifying whether the specific product meets requisite specifications and clients expectations. It takes place concurrently with the application coding procedure. The significant part of the quality assurance process is, testing the applications. The simplest way that companies can execute Quality Assurance testing into their software development is through QA outsourcing. It allows companies to focus on their strengths, such as development, while QA testing task can be completed by remote teams. This can help aid productivity. Expert and proficient QA testers test every single aspect of a developed application, both manually and by applying effective tools, to make sure that the end product is well-polished.


Role of QA in the Software Development Process

QA is a planned set of activities that guarantees that the process and the software products conform to requirements, procedures, and standards. In QA, there are various dependencies – the methodologies, size of the software, complexity, scope, etc, and software testers usually go through the complete application systematically. Software testers check whether a potential end-user can effortlessly make use of all its functionalities and whether the product is user-friendly and intuitive. QA tester or engineers perform the massive role, including debugging, tuning, testing, and suggesting the detailed improvements, which guarantee the quality of the end product. They usually have the following objectives:

  • Maintaining the system quality as per the business requirements and specifications
  • Defect prevention and prevention technique
  • Risk identification
  • Defect and imperfection reduction
  • Boost confidence about software quality levels
  • Verify & validate software requirement
    Direct fault finding and removal without the implementation of the project scenario
  • Testing the project for bug removal
  • Defect tracking methods and process
  • Review User Interface for Consistency and Functionality
  • Concluding remarks and maintaining reports


What are the types of Software Testing?

Unfortunately, some bugs are so troublesome that they can break the whole product, causing enormous loss to the business. In such cases, QA engineers identify the bugs and resolve them with the assistance of the development team, so that, in the end, we launch the product to the market bug-free. There are a series of processes that can be undertaken to check the accuracy and functionality of a software or system, counting:

  • White Box testing
  • Black Box testing
  • Functional Testing
  • Integration testing
  • Usability testing
  • Load Testing
  • End-to-End testing
  • System testing
  • Regression testing


There are so many methods for testing software at several phases in the development process; which one we can use will depend on your application requirements. QA verifies that the system meets the needs with regards to performance, functionality, usability, security, reliability, and so on.


Why are QA Testers so Important?

When it comes to what makes QA tester so important, there are innumerable matters to discuss. It is all about making a positive condition for developing apps. Normally, businesses are willing to spend more for reliable, excellence, and safe products. For this reason, QA testing could add an enormous value to the deal. By being capable to ensure the customer that the whole thing possible is being completed to assure that the app is of great superiority and will encounter the defined necessities of the project, you can raise the confidence of the customer that the project will be done within time and budget.

What’s more, even the expert team of developers always encounters so many issues while working on an app. If you are focused on a specific project for some time, it gets more and more complicated to look at it from a diverse perspective. Apart from checking an app manually, QA testers are also the skilled programmers themselves, and their role is to use particular tools that will automatically test the application for some bugs which cannot be easily addressed by a human. In essence, Quality Assurance is an essential part of the software development process that brings great worth to every single product.


Final word

QA testers can offer a diverse perspective of the overall products through the development life cycle. Hence, companies should do layered QA (Quality Assurance) testing at diverse phases of development or design. Early testing helps control expensive mistakes and useless development for features that users would not care about. A good QA testing process is not just done to eliminate bugs in the end, but guarantee the accurate procedures are in place. Rather than detecting flaws, it prevents them throughout the development procedure.


If you would like to know more about how we can integrate QA Testing into your software development life-cycle, call us today. Let’s talk about your project today!!

Top Software Testing Trends in 2019

The introduction of new technologies has brought the current updates in the software design, development, software testing & delivery. There has been great progress in the software testing field with new software testing trends coming into IT industry services. Quality Assurance and Software testing have come a long way. From a gate-keeping quality approach to an active, more evolved, “fit-for-purpose” strategic role, QA is now quality engineering in a true sense.

Digital transformation is yet another significant point of focus for the industries and the enterprises are ranking high on cloud computing, big data, business analytics and. With the advent of DevOps and Agile development technologies, the software development business is undergoing major interference. The new addition is the agile methodology adoption to undertake a digital transformation. Agile methodology aids to align digital transformation initiatives with business requirements.

As we head into 2020, we can expect to reach critical milestones as various new software testing trends take hold. Are you ready to explore these trends in software testing? Here are the top software testing trends 2019 the ImpactQA team expects to see take shape in the year ahead:

1- Quality Assurance Shifts to Quality Engineering- Quality Assurance is now a complex field that covers a wide range of technology and skills. From automation testing and DevOps to pipeline integration, QA has evolved well beyond its initial scope. To keep pace with this evolution, we’ll see a strong shift from QA to quality engineering.

2- Increasing adoption of Agile & DevOps– To keep pace with this growth, enterprises are not looking at having centralized Test Centers of Excellence any longer. The erstwhile testing arena is making a shift towards quality engineering, & software testing is intended to become progressive, iterative, and flawlessly integrated with development.

3- High Level of Test Automation- According to a current study on automation testing trends, 44% of businesses expect to automate 50% or more of testing in 2020. Organizations see several benefits, counting improved test coverage, faster software testing cycles, and the ability to catch defects earlier. To maximize the scalability of test automation even, ‘Script-less Test Automation’ is introduced.

4- Big Data Testing- There is varied types of software testing in Big Data projects like Database testing, Infrastructure, Functional Testing, and Performance testing. Big Data defined as a high volume of data unstructured or structured. The quality of data is also a significant factor in big data testing. The data quality is checked on account of various traits like accuracy, conformity, validity, consistency, data completeness, duplication, etc.

5- IoT Testing- Gartner estimates the number of IoT devices worldwide will reach approximately 20.4 billion by the year 2020. Hyper-connectivity is taking across the globe and the number of connected devices is estimated to be 1 trillion (by the year 2025). IoT test approaches have also emerged & necessitated a varied set of tools and techniques altogether. The focus is on connectivity, usability, security, performance, and compatibility testing. The variety of testing for IoT systems are:

  • Compatibility Testing
  • Performance Testing 
  • Usability Testing
  • Reliability & Scalability Testing
  • Data Integrity Testing
  • Security testing

6- Performance Testing Shifts to Performance Engineering- Performance testing will be replaced by performance testing. Rather than executing test scripts, the focus will be on analyzing how each component of the system work together. The variety of elements of the system comprises security, performance, hardware, usability, software, configuration, business value, and the client. Performance engineering will assist in exceeding client expectations in 2020.

7- Robotic Process Automation (RPA)– Latest and new-edge technologies, like cognitive computing, the Internet of Things (IoT), Artificial intelligence (AI), and machine learning are revolutionizing all domains. Progress in software and Artificial Intelligence world has paved the way for Robotic Process Automation (RPA). It is the latest technology which can re-invent the business process management landscape.

Organizations face countless software testing challenges and choices these days as technology evolves and the digital economy grows. Adopting the right software testing trends, tools and processes will help organizations to stay competitive or on top of their game. Embrace the change, and lead the way to a better-progressive future.

8 Best Practices in API Automation Testing

Application Programming Interfaces (APIs) help software development teams to easily connect and engage in end-to-end business processes. APIs are the key to web apps & services. However, these end-to-end processes can only be as high-performing as the APIs they depend on.

Building automated tests for API and QA pipelines for web services is tough. Of the most prominent issues automated end-to-end API Functional Testing and acceptance testing techniques face are:

I. Unreliable and flaky tests

II. Hard to isolate and identify large systems errors

III. Slow turnaround time for bug fixes

IV. Setup and tear down steps can leave leftover test data which can alter future tests and production systems.

To overcome these issues, here are a few must-follow API Test Automation practices when it comes to testing Application Programming Interfaces upfront:

1- Do Not Repeat Yourself

Before adding tests, make sure to create a client for your system under test.

Avoid repeating the code, but many tests require addressing the same components or similar actions. In such cases, you might want to create a common library to wrap the test requests and make their usage shorter and the process as simpler as possible.

2- Clarity

Write clear tests that easily allow debugging.

When tests are running successfully, they hardly require any attention or time. When the same tests start failing, resources need to be allocated to find the cause of failure. This process is time-consuming during product development and can go as far as pushing deadlines or cutting new features from your product in place.

Here are a few reasons your tests fail –

  • Flaw and instability in automated test
  • Environment failure or environment limitation
  • Changes to the product without marking changes to test
  • Flaw and instability in functionality

To save resources and optimize the process as much as possible, debugging should be a priority while you create the test.

  • Each ‘System under Test’ component need to be tested separately for each possible configuration.
  • All the additional information like descriptors, ids; should be included in the report to make it more informative.
  • Any failure of the test should be clear in the report. Moreover, the results of any failure must be saved and accessible in the system so that data can be traced back.

3- Performance

Always keep tabs on API performance functionality using API tests. These tests can be set up to monitor availability and speed issues, and the data collected over time can be used to analyze the performance trends.

Although testing just the availability is not enough, most API transactions involve data exchange, so it becomes quite necessary to ensure that the data is reliable. You can also test if the APIs are functioning correctly by validating the inputs and ensuring their data is structured in the correct format.

Test functionality of new deployments to catch issues before real-time users are impacted -when rolling out new features as part of a release, it is important to measure the impact on existing API integrations. The application might slow down drastically or at times even crash if the changes in the application do not work with the APIs you use.

Continuously testing API endpoints to ensure availability – monitoring API endpoints help you to identify outages or performance issues quickly. This minimizes the impact on end-users.

Test all of the application API dependencies to make sure performance is not degraded. When you have multiple APIs built into an application or provide APIs that integrate with applications using multiple APIs, it is recommended that you test the API dependencies frequently since they are constantly upgraded and updated.

4- Treat the API you’re Testing Like a Consumer Would

If you’re testing an API, you need to treat it exactly as a consumer would. At times, while writing test suites we focus too much on what we know to be the proper response. To properly examine all our API endpoints, we need to introduce the sort of errors that a user might introduce knowingly or unknowingly. In other words, we need to think like a user. After all, things rarely break in predictable ways in a live environment so it’s really important to test like we’re already there.

5- Eliminate as Many Fixed Data Sources as Possible

API endpoints often rely on the output from other APIs, when in a live environment. The only way to ensure that this is intact is to create an integration test which calls the first API and then uses the result of that call to hit the second API. When we begin testing the second API with collected static expected data from the first API, we are no longer testing the environment holistically. We should follow actual user flows and create integration tests rather than testing individual endpoints in thin air, wherever possible.

6- Other Factors That Need To Be Taken Care Of

A tester must have –

Parameters:

  • List of all required parameters in JSON request
  • List of all mandatory params in JSON request

Connections:

When it comes to Performance testing you need to check-

a) The number of concurrent connections a server can take before it fails.
b) Concurrent loads in batches like 25, 100, 200, and 500.
c) The expected response time and the expected throughput for all user loads.
d) The expected queries executed per second

7- Structuring tests

An API consists of several methods and operations which can be tested individually as well as through a setup of test scenarios. These test scenarios are usually constructed by combining multiple API calls.

Here are some approaches to test any API:

  • Perform syntax testing of individual methods and operations wherever possible

This is performed to check whether a method or operation accepts correct input and rejects incorrect input. For instance:

I. Syntax testing determines if leaving mandatory fields empty results in an error

II. Optional fields are easily accepted as expected

III. Filling fields with incorrect data types should result in an error

  • Perform functional testing of individual methods and operations wherever possible

This type of testing is performed to check whether the method and operations perform their intended action correctly. For instance:

I. Check whether calculation A is performed correctly when calling operation or method B with parameters X, Y, and Z.

II. Check whether data is stored correctly for future use when calling a setter method.

III. Check whether calling a getter method retrieves the correct required information.

  • Construct and execute a decent amount of test scenarios

When individual methods and operations have been tested successfully, method calls can be bound together to emulate business processes.

8- API virtualization

When testing systems of interconnected components, some of the availability of the components required for testing might be limited at the time of testing. Reasons for this might be:

I. The component itself is not developed yet

II. The component holds insufficient or unusable test data

III. The component is shared with other teams and hence cannot be freely used

In any of the above cases, virtualization of the API can be a valuable solution, enabling testing to continue as planned. API virtualization can be achieved through:

  • Stubbing – This is used to create an emulation of an API, mostly used for SOAP and REST web services.
  • Virtualization – This enables the simulation of the behavior of complex components, including back-end database connectivity and transport protocols other than HTTP.
  • Mocking – This is done for code objects using a framework such as Mockito.

Hence, if you’re planning to test applications in an agile environment, make sure you follow all the best API Test Automation practices mentioned here.