5 Essential Factors for Successful Functional Test Automation

When people build a product or software, they build it to implement and perform myriads jobs at a time. Functional Testing is, as a result, the all-inclusive procedure by which you determine whether the precise software application performs tasks well or not, for which it was launched or designed. More colloquially, it asks whether the specific software application particularly meets the criteria or requirements. This type of testing is thus what we might rationally think of as the fundamental kind of software testing.

Such testing is done to validate all the functionality of the product. As the name proposes, a functional test is a type of black-box testing that is performed for scrutinizing the functionality of the system or an application or is functioning as expected. It critically involves black box testing and it is not concerned about the app’s source code. Every single system’s function is perfectly tested by giving suitable input, verifying the output and comparing the definite results with the projected results.

This testing encompasses checking of Database, User Interface, security, APIs, client/ server apps and Application functionality under Test. Such testing can be done either using manual or automation. Functional tests are all-inclusive procedure perfectly designed to confirm that all of the components of a piece of code or software function properly. It mainly focuses on testing the interface of the application to guarantee that all user requirements for properly working are met.


In Functional Testing following things are mainly covered:

  • Unit Testing
  • System Testing
  • Integration Testing
  • Interface Testing
  • Smoke testing
  • UATT
  • Regression Testing
  • Sanity testing

5 Essential Factors for Successful Functional Test Automation:

1. Build an adept and fervent team

It would be dreadful to get the manual testing team to work on test automation stringent jobs. The strategy and methods for both are different, and even the end results projected would differ. Test Automation is a focused and dedicated activity to consider, and cannot be mixed. For this reason, it is most important to bring a devoted and fervent team on board for the same.

2. Choose a suitable Test Automation Tools

There are some common points to consider while selecting the best functional test automation tools for proper testing – the underlying objective and the training implicated. It is vital to pick out the most appropriate and active tools that are compatible with the company and the people who would be involved in the testing procedure.

Besides, a test automation framework encompasses a predefined set of guidelines and instructions that guarantee the constancy of the functional testing process, improve reusability, and decrease the necessity to conduct constant code maintenance. Experts have defined several critical factors that define the effectiveness of the test automation framework. As a result, an automation framework should:

  • Reliable and consistent
  • Easy to maintain
  • Allow maximizing test coverage
  • Be scalable for new needs
  • Generate reports of test results

3. Keep the objective in focus for favored results

Again, it is most important and smart decision to keep the objective in focus while constructing the strategy for functional test automation. It is sensible and praiseworthy to start or commence the functional automation testing process by creating the test case in a manual format – gather all the requirements and testing data to build the automation strategy.

4. Understanding and knowing your software or app

Knowing your software or application is also one of the critical steps to consider, understanding the application at one hand and knowing the significant features of the application on the other hand. It will help implement the tool competently and enable right third-party integrations. It will guarantee efficient automation even in the upcoming days. Additionally, it will help identify performance issues, scalability problem, recognize memory leaks, any possible flaws, and more.

5. Automation can’t be answer for all

Automation can solve the main critical complications; however, it cannot be done for everything. Therefore, it is a misconception that if you choose a suitable tool you can automate everything. Such automation tools can just make the process fast and simpler. You will have to loop in and make use of the right processes that can meet the preferred objectives.

Bottom Line

Functional testing is the practice of testing functionalities of the system and makes sure that the system is working as per the functionalities specified. The main aim of this functional test automation is to verify whether the system is functionally wonderful.

Top 10 Automation Testing Tools For 2019

According to the World Quality Report 2018–19 the low level of automation of test activities has turned out to be a critical bottleneck in the further evolution of Quality Assurance & testing. Making use of suitable test automation tools at the right time is crucial to deliver a high- quality product at a fast pace. These tools ensure that the advantages of automation are delivered to the fullest. Automation testing tools are a crucial part of the software development process.

With a variety of open source and commercial test automation tools, selecting the best automation testing tool can become an arduous task. Here is a curated list of best-automated testing tools –these automation testing tools included in this list are selected from three major criteria:

  • Popularity and maturity
  • Supporting API & services testing
  • Offering some Artificial Learning and Analytics Capabilities

1.Selenium

  • Topping the list, Selenium is an outstanding automated software testing tool for testing web applications that is accessible today in the market
  • It automates across multiple browsers like Firefox, Chrome, IE, etc. and enables users to sail through several browser-specific testing purposes. The test script can be easily written in programming languages such as Python, Java, Ruby, C#, PHP, JavaScript and Perl
  • Companies prefer Selenium this automation testing tool as the best one that can be integrated with automated testing frameworks and is compatible with various programming languages.

2. TestComplete

  • It is a SmartBearproduct, an extraordinary test automation tool for mobile, web, and desktop testing. TestComplete is an open test platform that can also be integrated effortlessly with other products contributed by SmartBear
  • TestComplete can also help you create robust, reusable, and automated tests across the web, desktop, mobile, and many devices effectively and easily
  • Silverlight apps can also be tested using TestComplete. It allows testers to create automated tests for iOS, Web, Microsoft Windows, and Android apps.
  • This amazing test automation tool can perform parallel regression testing with automation builds & create steady regression tests

3.Katalon Studio

  • This is an incredible test automation solution for a mobile, web application and web services. Being built on top of the Appium and Selenium frameworks, this tool takes benefits of these solutions for integrated software automation
  • Katalon Studio tool supports various levels of testing skill set. Even Non-programmers can also find it trouble-free to start the test automation project (such as using Object Spy to record testing scripts) while programmers and advanced testers can save time from building new libraries and managing their scripts
  • Katalon Studio can be incorporated into CI/CD processes and performs well with well-admired software testing tools in the QA process counting JIRA, qTest, Git, and Jenkins.
  • Additional features like Katalon Analytics can provide users the comprehensive status of test execution reports through dashboard comprising graphs, metrics, and charts

4.Unified Functional Testing (UFT)

  • UFT is a famous commercial test automation tool for Functional Testing
  • It gives a comprehensive feature set for web services, API, and GUI testing of web, desktop, and mobile apps across varied platforms
  • The is an amazing tool and it has improved reusable test components, image-based object recognition feature, and automated documentation
  • Unified Functional Testing uses Visual Basic Scripting Edition to register automation testing processes and object control. It is integrated with Mercury Quality Center and Mercury Business Process Testing. UFT tool also supports CI thorugh integration with CI tools like Jenkins

5.SoapUI

  • SoapUI is a web service testing tool for Representational State Transfers (REST) & Service-Oriented Architectures(SOA)
  • This automation testing tool is an open source that allows automated functional testing, automated load testing, and compliance testing.
    SoapUI additionally comprises mocking and simulation traits together with web service research
  • It isn’t an automation tool for Web or mobile app testing; however, it can be a great tool to test API & services
  • SoapUI is a headless functional testing tool perfectly designed for API testing. API automation testers can use either the pro edition or open source. The pro version has a user-friendly interface as well as various advanced features like form editor, assertion wizard, and SQL query builder

6.Cucumber

  • This is a famous open source BDD (Behavior Driven Development) tool. Cucumber supports languages such as Java, Ruby, Groovy, Scala, etc
  • Drafting automation test scripts is a joint effort of the developer, testers, and customers. Cucumber supports only the web environment. Test code is written in easy English called Gherkin. Cucumber code can be executed on several test automation frameworks such as Selenium, Ruby, etc


7. IBM Rational Functional Tester

  • It is commercial automated testing tool from IBM. It supports extensive ranges of development environments such as Flex, PowerBuilder, Siebel, SAP, Java, Dojo, and Net amongst others.
  • RFT supports two scripting language VB.Net and Java. Rational Functional Tester (RFT) tool supports regression testing, functional testing, & Data-driven testing.
  • RFT’s other crucial feature is its integration with IBM Jazz apps lifecycle management systems like Rational Quality Manager and IBM Rational Team Concert


8. Tricentis Tosca

  • Tricentis Tosca is a model-based automated testing tool that provides a comprehensive feature set for continuous test comprising analytics, dashboards, and integrations to support DevOps and Agile methodologies.
  • Tricentis Toscaa assists users to optimize the reusability of test assets. Like several other automation testing tools, this test automation tool supports an extensive range of technologies and apps like API, web, and mobile
  • This test automation tool also has exclusive features for risk analysis, integration management, and distributed execution

9. Postman

  • This amazing tool is another automation tool perfectly designed for API testing. Users can install this tool as a browser extension or a desktop app on Windows, Mac, and Linux.
  • Postman is one of the priorities not only among testers for API test automation but also software developers who use the tool to develop and test APIs.

10. Ranorex

  • Ranorex is an incredible commercial automation tool for desktop, web, and mobile testing. This popular tool features advanced traits for GUI recognition, record/ playback, and reusable test scripts.
  • Codeless test creation is one such beneficial feature of this automation tool that allows new testers to learn and apply automation testing to their projects.
  • This advanced automation testing tool also supports Selenium integration for web app tests. Testers can distribute the execution of their automation tests across browsers and platforms using Selenium Grid. Ranorex offers a low-pricing model for enterprises.

The automated tests tools listed above will slash the time spent and further support companies by saving loads of resources. Your choice of automated testing tools should not only meet your current requirements but should also focus on potential trends. With these significant automation testing tools, the enterprises can ensure that all the products delivered are free of any bug and glitches.

You cannot find any real-world software 100% free of flaws or bugs. The best approach is to thoroughly test the software and fix it whenever found. You need an expert and adept software QA testing team you can trust to do that. We at ImpactQA are that team. Contact us; we will be glad to help you.

Top 6 Challenges of API Testing

API Testing forms a core part of testing web applications. Generally, an Application programming interface (API) testing is defined as a means to “secure as well as optimize communication between various platforms, examining diverse components comprising pinpointing flaws, debugging, finding inconsistencies, lock down security & gauging performance. Testing APIs is faster than functional GUI test which overall guarantees core functionality & can easily incorporate with GUI testing. As with any attempt, some challenges will occur. Testing APIs is not an exception.

Starting with the benefits, it helps to discover some problems before they turn out to the aggressive one. It is time and cost-effective, as it always takes lesser time than functional GUI tests. The transfer model for API testing is language-independent, connotation you can prefer any language while executing API test. It can also be a central part of integration testing, for example with the GUI at a later phase. Other advantages are creating a better synergy among development teams & creating quick outcomes by reducing reliance on preconditions by isolating elements.

Below you’ll find the following 5 most common challenges encountered while testing APIs:

1. Initial Setting up of API Testing

Getting the initial set up of test infrastructure and running is one of the critical challenges of the process, not because it is an arduous task, but because it can be a considerable motivation-killer. Once you manage to motivate the dedicated software testing team to get through the important procedure, it pays off over the long-term.

Solution to the Challenge: After setting up your API testing environment, you can start with the collaboration of your app data with your API tests to make sure that the API performs as expected.

2. Updating the API Testing’ Schema

The schema in other sense, the data formatting that handles requirements and requests for the API –necessary to be maintained throughout the test procedure. Any up gradation to the program that creates added parameters for the API calls should be reflecting in the schema configuration.

Solution to the Challenge: In the current API economy, having an ever-changing Application programming interface helps facilitate the demand. But, there can be downtime caused by those modifications. The best method to avoid that is to comprehensively API test in alpha and beta environments. The possibilities of complications can easily decrease by 80-85 % percent when testing in such environments.

3. Testing All Possible Parameter Request Combinations

APIs handle communication amid systems by passing on data values to parameters & transiting those parameters through data needs. It is very crucial for testing all the essential parameter blending in the API to test for flaws about specific configurations. The bigger project could wind up assigning two varied values to the similar limits or create instances where numerical values appear when text values should be. Addition of extra parameter exponentially increases the no. of likely combinations.

Solution to the Challenge: Pick applications that are not complex to everyday operations. This way you can see how the API is being utilized, plus if any configurational modifications that require to be made to have a GA (general availability) release.

4. Testing team finding Validating Parameters challenging

Validating the parameters is one of the most essential things but challenging sometimes. It must demonstrate how fast you are serving those parameters. The team needs to be sure every single crucial parameter data uses the appropriate string or numerical data type, fits within an assigned value range, fits within length limitations, and passes another validation criterion.

Solution to the Challenge: This can be solved by having continuous synthetic API monitoring to grab the issues early on. Besides, it must be combined with an APM solution to get a complete 360-degree view.

5. Tracking System Integration

Finally, this challenge ensures that the API system is working properly with the data tracking system. This is critical to bring back correct responses on whether or not a call is working accurately. It’s also utilized to examine APIs performance. As this particular step can come late in the process, the expert tester may find it too exhausted to give it the interest it required.

Solution to the Challenge: Focus on the applications in the designing phase and check out how well it will integrate with other systems. Various apps have diverse needs that need to be met. Try to make certain that you are not causing your apps to fail by testing in parallel with critical integration systems. It is accomplished by implementing load testing in your continuous delivery.

Overall, API testing is a crucial part of applications development in the modern business environment. Contact us to solve the glitches in your app.

Challenges faced by Drone Delivery Systems

Drone delivery is a small section of the drone industry. Thanks to Amazon, it is the “face” of the commercial drone market. This has gone a long way to clear out the public stigma about the drone market. On the drone topic, people tend to think of Amazon delivery, not predator drones. Kudos to you Amazon as well as other startups companies like Matternet and Zipline dropping packages in developing countries and remote areas. But while a sizeable heap of effort and expense is being chucked at airborne packages takeaways & other urgent deliveries, these companies have to contend with a shifting set of legal and practical barriers. From calculating where & when to drop packages, to preventing devices being hijacked by attackers, the course of semi-autonomous load delivery never did run smoothly.

Challenges facing Drone Delivery Systems

Like Autonomous car technology and flying taxis, the concept of having packaged takeout delivered in minutes to someone’s business or home by drone is the core zone of complexities. Grace McKenzie, director of operations and controller (Iris Automation), stated that one key restriction to economically viable drone deliveries is that the “skies are not safe enough for many drone use cases.”

Highlights of the 3 core challenges facing commercial drone delivery systems:

  • Limitation for Commercial Operations- Amazon & other startups do not say how heavy a payload its new drones can grip. (Aircraft itself is 55 pounds.) But, judging by the size of the box for the commercial purpose, it won’t be able to carry anything bigger than a shoebox. This restriction is very real since even the highly sophisticated and advanced battery-powered drones presently being used for commercial can only hold a few pounds.
  • Weather Impact- DHL’s demo Parcelcopter failed due to poor weather, but the technology is sound. Weather is yet another key factor that could instantly keep them grounded. Some of the factors like freezing rain, gusty winds, and others could conspire at any time to scrub a delivery. Even when the weather is perfect, there are some practical range limits due to fixed battery capacity which restrict deliveries to local distances. Delivery vehicle drivers must work in various kinds of weather.
  • Drone’s Capacity- Batteries backup remain the weak zone on any electric solution (mainly new drones are electric). The size and weight, or aerodynamics, of the product being delivered, will have a huge adverse impact on its range. Even Drones do not get along with big buildings or trees so it would be complex for the aircraft to make its way to the ground. It might be necessary to change delivery packaging, to make it more aerodynamic and water-resistant & security against theft for perfect drone delivery systems.

How to Ensure Drone Delivery Failure?

Despite recent signs of improvement and progress in the USA and Australia drone delivery systems remains a long way from turning into a viable option in the majority of use cases. Plus the problem affects various areas of drone delivery usage. Solving the complexities would open up a broad range of commercial and industrial applications for drones. Far beyond delivering, drones could also be used for several kinds of aerial data gathering, from inspecting railways, power lines and hydro-electric dams to surveying crops to conduct search-and-rescue operations and fighting forest fires.

One of the innovative solutions for seamless drone’s operation flow is IoT testing. The drone delivery systems should undergo rigorous testing phases before reaching the present stage. If the makers slacked in carrying out their part of IoT test the drone delivery systems will become a dropped off before they even launched the market. Ultimately poor performance will cost the drone companies their status and reputation. This risk regarding the capability of drone delivery systems huge and the potential conflicts can be extremely dangerous.

At ImpactQA, we have the required infrastructure, testing frameworks, adept testing team, and smart testing tools, and simulators to offer the most comprehensive IoT Testing Services. Our experience in IoT app testing support real-time testing of Compatibility, IoT Security, Performance, Usability, System Scalability, Data Integrity Interoperability, and Reliability.

Do you agree that commercial drone deliveries are still a far ways off? Connect with our IoT Testing Services.

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.