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.

Software Testing Strategy & Challenges in 2019

Building a successful software testing strategy is the tricky task and the approach will vary on a team to team. Some may include automation engineers than manual testers, while some may have shifted left and depend on expert developers to do the heavy lifting. Deadlines, Budget, application type, and development model are all driven factors that impact how a software testing strategy outlined should be implemented. There are distinct approaches, all of which are equally significant to reach a realistic decision to the pressing questions facing testers and developers:

  • Do all features effectively process and function as expected?
  • Can the app withstand the heavy load demands?
  • Are there security vulnerabilities that could put users at threat?
  • Is the app simple to use?

Factors to Consider while picking out the right Software testing Strategies:

  1. RISKS
  2. SKILLS
  3. OBJECTIVES
  4. BUSINESS
  5. PRODUCT
  6. REGULATIONS

You must select software testing strategies with an eye towards the above factors mentioned earlier, the budget, schedule, and attributes constraints of the project and the realities of the enterprises and its politics. The methodologies, tools, and patterns for testing have evolved with the changing needs. For example, as per industry reports and core analysis, DevOps and Agile have been the primal drivers for growth in the test market. There is an undying necessity to launch apps at speed and keep up quality at the same time. Consequently, in modern era test starts way ahead in the development lifecycle rather of being introduced at the final stage of the development process. Implementing a robust strategy is the foundation of uninterrupted delivery, and automation is the key to a successful constant delivery pipeline.

Let us have a glance at some software testing challenges that 2019 plans to bring for the tests fraternity:

  • Developing skills for the trendy term “Agile and DevOps”- According to Technavio’s market research analysts- the global market will grow uniformly at a CAGR of around 14% untill 2021. Test Automation services and Agile services will be the key growth drivers. Testers must adopt DevOps and Agile skills to ensure heightened performance, velocity, and flexibility in the software development process.
  • Preference for Open-Source platforms- Increasing adoption for Open-Source platforms for testing not only brings cost-effectiveness but also brings in a community of experts for assistance. This has resulted in the high preference of open-source platforms like Selenium.
  • Interface with social media- It is the requirement that every single app should interface with social media. It implies that testers are required to build social media networking skills. Users need instant access to resources, content, discussions, and stay updated.
  • Acceptance and adoption of Automation over Manual- The complexities with apps and software are high and there is a great demand for third-party integration. Tests are required regularly, which might reach a dead point if automation is not done.
  • Dealing with issues and up-gradation in Web & Mobile Technologies- Devices and screen dimensions are enormously upgrading and changing. This has resulted in complications, so the best way out is to keep a check on the web and mobile technology progressions and guide the coding architecture & cope with technical challenges to deliver robust Quality Assurance solutions.
  • Processes to offer immediate Customer support-Today it is imperative for apps to build instant support and feedback execution mechanisms within the software.
  • Think beyond Methodologies, get logical- Technologies like Agile, Automation, Shift-left, DevOps, and Service Virtualization have added immense value to boost and accelerate the software test cycle. However, today testers are expected to add logic and think beyond just test. Good Analytics, logical thinking, reasoning skills, can assist in driving more credible results with standards.

These could be top software testing challenges that testers might face while building a suitable strategy and harnessing the essential skills. However, overcoming these software testing challenges will help experts to move beyond the mundane action and leapfrog into a strategic position in the complete development cycle.

Why do we need a framework for Automation Testing?

In the present market scenario, enterprises not only want to test Software efficiently but also as rapidly and comprehensively as possible. To attain this goal, companies are turning to test automation. We mainly need frameworks for test automation to standardize the test automation process irrespective of the tool and give effective results.

The test automation frameworks are essentially a set of best practices or guidelines which can be followed in an organized way to attain the preferred result. When it comes to test automation there is the listing of tools available in the market, you can drive all the tools using a single framework and see results. The complete potential of a tool can be extracted using automation frameworks and it also aids in the result accuracy.

Three key technical entities (resources) in the automation project are:

  • Code- script
  • Data
  • Objects and their definition on the AUT
Test Automation Framework
Test Automation Framework

Why do we need the Automation Framework?

Automation Framework is a framework that is formed specifically to give an execution environment for the test scripts. It provides several benefits to the users that help them to develop, execute, & report on automated test scripts effectively. What if the Test script fails for no valid reason? The automation framework helps us catch different recovery scenarios and handle them graciously. Debugging is not a complicated task if you have the framework in place instead of the chaotic collection of Test data & Test Scripts.

Here are some benefits of using an Automation Framework:

1- Scalability- The high-quality automation framework design is scalable when the demand increases for instance- when numerous web pages are being added or data or Objects. The framework should be much quicker to extend to big projects.

2- Easy scripting- The programmer has their specific coding style. With multiple Testers in a team, having a framework in the correct place make sure that best practices and consistent coding are followed to a certain level. It also avoids duplicate coding and assists in streamlining testing projects that involve a software tester’s team working on numerous features of an application.

3- Flexibility and Modularity- The biggest advantage of using an automation framework is its flexibility and modularity. The framework or test automation makes sure that the mountain task is broken down to manageable rocks which can then be reusable as & when needed.

4- Excessive coverage- The automation framework gives us to maintain a huge range of Test data, i.e. coverage in turn.

5- Segregating Tests & Final Configuration- One of the core challenges of manual testing is that it takes enormous time to segregate test script logic. There is also the possibility to commit errors. Though, when the same thing is done on an automation framework it can be done in minutes. The configuration of the tests can be done within a short time because the framework allows the test suites to cover every aspect of apps in the configuration procedures.

6- A degree of re-usability– This is another major advantage of implementing the automation frameworks for test automation. It introduces the re-usability rate. Common library files can be reusable as and when necessary, no need to develop them every single time.

7- Less manual intervention- The automation framework can easily take care of humdrum and pointless manual tasks.

8- Efforts in reporting- The reporting module within the automation framework can easily handle all the report requirements. The automation framework for test automation allows for user-friendly interface and reporting options.

9- Systematic integration- The framework for automation can aid in the current era of continuous integration.

Overall, it has been a revelation for programmers and plays a crucial role in automatic testing procedures.

5 Ways AI is Shaping the Future of Software Testing

Artificial Intelligence is the hottest buzzword these days and advancement in AI allows Enterprise and industries to make smart decisions and radically transform processes. As software tests shift gears from manual to automation for embracing the speed for DevOps and digital transformation, Artificial Intelligence has emerged to be the key lever for this change.

AI working ways
AI working ways

Applications today interact with other apps through APIs, they leveraging legacy systems, and they grow in the complex from one day to the next in a nonlinear fashion. What does that mean for experts? The recent World Quality Report declared that it will help. It is now believed that the most significant solution to overcome increasing QA Challenges will be the rising trend and introduction of machine-based intelligence.

Software testing is an imperative process that makes sure client satisfaction in the app. It is fundamentally about inputs and anticipated results that blend a big amount of human as well as machine-generated data. And so, the test is a ready ground for AI.

Whether automated or manual, software testing can benefit greatly from using it, BOTs, as well as the intelligence, derived data & analytics. Test bots run automated tasks (scripts) over the Internet & perform repetitious actions. Test bots (Voice Bots and Chat Bots) also interpret, mimic and react to the written and spoken the language. Bots aren’t hard-coded and can notice the newest features in the app.

5 significant ways it is changing this dynamic:

1- Testing is becoming error-free & simple- Because the new algorithms are such significant analyzing tools, the adept software developers will no longer have to write all the scripts and examine so many data. The newest AI will also have the capability to sort through log files to improve accuracy in the specific program and to save the precious amount of time. The data results generated give developers a thorough view of the changes that must be re-enforced. It shows developers where testing is required by locating flaws in a system. Moreover, the new algorithms can also foretell future complications, which heighten efficiency during test periods.

2- Optimizing the Test Suite- One of the important flaws facing software development and testing is over-engineering those results in loss of resources, effort and time. As companies release speedy and use automation to move forth, they often struggle with huge amounts of a backlog. BOTS can also help clear the backlog and enable focus on the tests right. BOTs can identify the same/redundant and unique test cases, thus removing the duplicates and intensifying traceability.

3- Defect analysis- The intelligent approach to identify imperfection early and provide suggestions to avoid this flaw and speed up cycle time. Artificial Intelligence can accurately discover usage and failure trends to spot the most critical and less obvious faults, which allows teams to prioritize regression test cases based on dangers identified.

4- AI can eliminate extra bugs- Bugs will speedily ruin the user experience, and software test is required to halt such flaws and disruptions. When bugs are captured and caught, expert testers are left wondering how the bug went undiscovered and when the bug entered the program. With the proper use of AI the questions of when, how, and where bugs entered a system are put to rest. Testers can use the information generated by it to detect if more coding modifications will be required to control bugs from entering the program. AI is constantly testing to clear-out excessive bugs from programs.

5- Prescriptive and Predictive Analytics- BOTS thrive on data and luckily most enterprises have immense amounts of production and test data bring forth by automation suites. Artificial Intelligence can be utilized to analyze test results, identify flaws and predict the quality. It uses this data to foretell the key parameters of procedures and prescribe the best course of actions. The smart approach to detect usage and failure trends to spot the crucial, critical and less obvious faults.

AI has a world-shaking high impact on the quality function with benefits ranging from superior quality to speed to market, optimization, better coverage, traceability, and extraordinary savings on the overall cost of development.