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ImpactQA delivers end-to-end software testing services after careful consideration of software requirements and QA processes. The comprehensive testing approach is the backbone that has proven effective in accomplishing testing needs for global clients including leading SMEs and Fortune 500 companies.  

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7 Major Challenges of Testing in a Cloud Computing Environment

Cloud computing has emerged as an innovative technology that impacts several fields, including software testing. Whether you have to access your crucial data from anywhere around the globe or to store an enormous amount of data online, cloud computing comes to the rescue. The entrepreneur world is rapidly moving towards cloud computing considering the accessibility, speed, efficiency, flexibility, better collaboration, recovery, easy upgrades, and management services it provides. Above all, it is environment-friendly.

According to Gartner, ‘Cloud Shift’ by 2020, will affect $1 trillion and more in IT spending, thus making cloud computing the most disruptive force of IT expenses. Gartner also predicts the global cloud service market will grow to $331.2B (by 2022) from $182.4B (in 2018), reaching a CAGR (compound annual growth rate) of 12.6%. As compared to other cloud computing service models (Paas- Platform as a service or IaaS- Infrastructure as a service), Software as a Service (SaaS) tops the list, thus bringing the similar advantages that the cloud brings to customers.

It is clear that utilizing cloud computing is a trend that continues to grow. We have already seen the implementation and importance of the cloud in companies like Amazon, Alibaba, Microsoft, and Google. On one hand, where the IT industry is utilizing the cloud, on the other, various companies are not venturing into the cloud. The challenges of testing in a cloud environment are the prime factor why enterprises are backing out from using this new-edge technology.

Common Challenges of Testing In a Cloud Environment

Challenges in testing with the cloud environment are the core reasons why some enterprises are not diving into the cloud:

1. Security Challenge- Security of the confidential data is still a major concern when using these cloud-based applications. We may come up with situations like the leak of private information or internet suspending due to virus attack or internet speed. Another drawback of outsourcing on the cloud is that the cloud vendors are not familiar with security needs and industry standards that are unique to government agencies such as continuous management and monitoring an inventory of systems.

2. Working with Multiple-Cloud Model–With increasing opportunities in cloud solutions, many enterprises are moving towards working with the poly cloud environment. This strategy brings multi-cloud models, types, as well as several cloud vendors. That itself creates a challenge to manage the security, synchronization, and robustness of operations within the company and with multiple cloud service providers.

3. Lack of Resources or Expertise–One of the common cloud challenges enterprises and organizations are encountering these days is the lack of expertise or resources. Due to these factors, enterprises are having a hard time keeping up with the tools and expertise.

4. Managing Cloud Expense– The next phase of cloud computing risks involves management and containment. Cloud computing can easily save the cost of the company. But with the ongoing demand and scalable nature of cloud services, it is often difficult to predict and define quantities and costs.

5. Meeting Governing Compliance–Since cloud computing offers huge benefits, they are always in demand. The prime concern, therefore, is the protection of the information that is being processed. This confidential data is the major responsibility of cloud vendors or service providers. Abiding by governing rules and regulations is a crucial factor to ensure security and accuracy of information flow in the cloud. For instance, public retail companies have to comply with the Sarbanes-Oxley Act of 2002 (SOX), Healthcare Organizations in the United States of America have to comply with the Health Insurance Portability and Accountability Act of 1996 (HIPAA), and Payment Card Industry Data Security Standard (PCI DSS). Depending on the client’s needs and industry, every organization must ensure these standards are respected.

6. Performance Issues–Performance plays a crucial role in any application. The downtime on the cloud directly hampers the performance of cloud-based applications. Downtime could be possible in any technology. Over the past few years, several cloud vendors have experienced failures. In such situations, it becomes difficult for the customers to rely on such providers.

7. Building Private Cloud–It has become one of the main concerns for those who are likely to implement such a solution. Creating a private or internal cloud will cause a great benefit- having all the data in-house. However, IT departments will need to build and glue it all together by themselves, which can cause difficulties in moving to cloud computing.

If the above cloud testing challenges are fixed, then cloud technologies will prove to be a huge asset for business success.

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Top 5 Software Testing Trends to Look Out in 2020

Growing Use of Technology like Machine Learning and Artificial Intelligence

Digital Transformation

Transition to the Cloud and Increasing Adoption of IoT

Performance Testing to Performance Engineering

Big Data Testing

With the acceptance of digital technologies, software testing has taken a new spin. Organizations are increasingly considering approaches like Agile and DevOps, which encourage collaboration between testing teams and development teams. According to Gartner, by 2020, the costs of developing the IT industry will grow from 3.76 to 3.87 trillion dollars. Thus, IT plays a crucial role in our lives.

We also expect the global software testing market to grow at 14% CAGR (Compound Annual Growth Rate) by 2023. With the improvement and progress in the software methodologies and widespread acceptance of DevOps and Agile, software testing has evolved into a robust practice.

Considering the current trends in technology and testing, we have projected the top 5 software testing trends to look out for 2020:

1. Exponential Use of Technology like Machine Learning and Artificial Intelligence

Machine learning (ML) is the next exponential tech trend, and it is knocking on the front door. It has already led to a revolution in the development sector and the use of applications. The market for machine learning is projected to grow from $1.41 billion to $8.81 billion by 2022. There will be more testing solutions for recurring tasks.

Major tasks performed by the adoption of machine learning:

• Optimizing the Test Suite — unique code checks

• Forecast — Prediction of the main test configurations

• Log Analytics — Identification of checks that can (or could) be executed automatically

• Defect analytics — Discovering high-risk application points for prioritizing regression tests

The market scenario for artificial intelligence is also growing faster. It is anticipated that by 2025 it will attain 190.6 billion dollars. This suggests that the IT business is progressively moving to machine learning.

Influence of AI on testing optimization. Source of the image

Artificial Intelligence shows that the evolution of software testing is entering a new phase, the benefits of which have yet to be learned.

2. Digital Transformation

According to the World Economic Forum, the value of digital transformation for both society and industry could reach $100 trillion by 2025. Enterprises continue to undergo intense digital transformation and become more dependent on new-edge technologies. This sets high requirements to the stability and reliability of software. Hence, the significance of software quality assurance increases as well.

The share of IT budgets spent on Quality Assurance has full-fledged improved by 35% since 2015 and is predicted to face another increase by 2020. At the same time, digital transformation presupposes experimenting with digital features, which calls for the agility and flexibility of the development and QA processes. Therefore, quality assurance faces contradicting demands for flexibility and stability, which sets a challenge for QA managers. They continue to search for non-trivial means of setting QA processes in a way that allows meeting both requirements.

3. Transition to the Cloud and Increasing Adoption of IoT

With great stability, a growing number of enterprises move data storage and processing to the Cloud. According to the current research by Sogeti, 75–76% of all apps are cloud-based. At the same time, organizations are progressively adopting the Internet of Things (IoT) as this technology gives access to previously unavailable customer data and allows enterprises to make informed business decisions on the basis of data. The same study by Sogeti reports that 95–97% of the examined enterprises have implemented IoT solutions in any way.

Quality assurance for IoT and cloud-based apps call for extremely specialized skills of the QA team and QA engineers to better understand these apps’ implications on a company’s business procedures.

The IoT creates a new height in systematic software testing. The following kinds of checks will be conducted in the IoT zone:

Scalability Testing

Testing the Compatibility of Device Versions

Monitoring Connection Delay

Safety Analysis (Device Authenticity, Availability and Accuracy of Authorization)

Data Integrity Evaluation

Despite the ever-growing role of the IoT, 34% of the World Quality Report revealed that their products have Internet of Things functionality, but they still do not have a testing approach.

4. Performance Testing to Performance Engineering

Whether it is SMEs or big giantsPerformance Testing will continue to bring results and guarantee robustness. By 2020, performance engineering is gradually expected to replace performance testing methods. Performance Engineering evaluates customer experience, which results in commercial viability. Furthermore, it is significant to gauge the product performance to build robustness even in a crisis condition. Dates back the task of software testing was to assure product performance, however, now it is not sufficient to pay attention only to this element. Additionally, it is significant to focus on other elements like customer value, convenience and practicality of use, and configuration quality.

5. Big Data Testing

The trend of big data testing has been fueled crucially because of the robust procedures that various enterprises are following to churn out the best of marketing strategies. Acknowledging this fact, we must claim that the need for testing big data apps will witness a new height in 2020. In Big Data testing, software testers have to verify that terabytes of data are processed using commodity clusters and other supportive elements. This kind of testing focuses on functional testing and performance testing. The quality of data is also a crucial factor in big data testing. The data quality is checkedon the basis of distinct traits like consistency, validity, conformity, accuracy, data completeness, duplication, etc.

In addition, manual testing is gradually being replaced by automated testing. In 2020, we will see a hybrid of these two types, since there are still not sufficient tools to completely automate data processing and monitoring. But in subsequent years, it will be possible to see an almost complete replacement of manual testing with automatic.

Software testing will evolve into new dimensions by 2020 and the QA tester will have to grow to fill in larger shoes in the future. The software tester will have to compete with a varied IT landscape, filled with new-edge technologies that demand automated, continuous integration among other traits, rooted deeply in the basics of software testing.

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10 Industries That Need Blockchain Testing for their Next Phase of Growth

Stock trading

Retail

Supply Chain Management

Healthcare

Airlines

Entertainment

Education

Real Estate

Government

Infrastructure Security

Blockchain is a breakthrough technology and has come into the limelight from the last few decades. With its decentralized nature, Blockchain technology can lead to great opportunities and benefits companies through enhanced security, transparency, and easy traceability. Most Fortune 500 companies, from finance and retail to airlines and automobiles, are exploring Blockchain Technology for its benefits in business security and operations.

How Blockchain Can Power up Your Business?

Blockchain Technology is not just restricted to the exchange of Crypto currencies. The new-edge solution is also being used by governments to create, validate, and improvise people’s access to self-sovereign (international ID) identities. The benefits of blockchain like security, efficiency, and precision are today being enjoyed by multiple domains and sectors, such as retail, healthcare, finance, and more. There are many benefits that this technology can present to businesses, through its decentralized and distributed nature:

Greater Transparency–The key advantage of Blockchain technology is its transparency. This makes blockchain good technology to store financial records or any other data.

Increased Efficiency–Because of its decentralized nature, Blockchain removes the need for middlemen in many processes. The technology facilitates rapid transactions by allowing P2P cross-border transfers with a digital exchange.

Higher Security–Blockchain is secured than any other record-keeping system as each new transaction is encrypted and connected to the previous transaction. The indisputable and incorruptible nature of blockchain makes it secure from hacks and falsified information.

Improved Traceability– With the blockchain ledger, we record the exchange of goods, an audit trail is there to trace where the goods came from. This can improve security and avert fraud in exchange-related businesses.

Why Blockchain Testing is Crucial?

As Blockchain paves the way for innovations across industries, it will bring some inherent challenges like privacy and security issues, integration issues with legacy systems, great energy consumptions, high investments, and initial fear around the adoption procedure. With so many Blockchain apps being launched in almost every sector, it is becoming an essential task for testers to overcome the challenges and issues. To help enterprises overcome these threats, testing blockchain apps becomes crucial.

Deloitte’s 2019 Global Blockchain Survey also demonstrates that blockchain is going through a similar path of diffusion across industries far beyond its initial Fintech apps. Sectors like media, technology, telecommunications, government, and health care are expanding their blockchain initiatives.

Verticals that use Blockchain Applications and Need Testing

The banking sector is already racing ahead in blockchain, let us look at a few other verticals that are trying to implement blockchain and are slowly inching ahead.

Stock Trading–Blockchain application helps to automate buying and selling and trading stocks, making the procedure seamless and well-organized.

Retail–In this sector, blockchain application can decentralize the customer’s trust by linking it to the sellers across varied platforms and marketplaces. It connects sellers directly with buyers, lessening the hassles of middlemen and the costs involved.

Supply Chain Management–Blockchain provides the transparent and most secure monitoring of transactions. It helps document these transactions as decentralized records that lead to a saving of cost, time, and errors. Blockchain apps thus create a traceability system.

Healthcare–Blockchain applications are popular in the healthcare sector as well. It can easily manage and maintain the security and privacy of the data. The collaboration of accurate data results in better diagnoses, higher success rates in treatments, and low cost.

Airlines–Implementing blockchain will help secure the data and make the traveler be at ease. Securing the traveler’s data can make them feel at ease.

Entertainment– Entrepreneurs from the entertainment sector can also use blockchain to share their work via smart contracts and generate the payment.

Education–The blockchain-based system could serve as an endorser for educational institutions to access secure records and documents.

Real Estate–Blockchain technologies could simplify the process and improve transparency altogether. Besides, all the documents could be stored securely. A startup company named Deedcoin Inc. offers cryptocurrency driven transactions that reduce the commission rate for the agent to 1 percent.

Government–Besides voting systems, blockchain systems could help control bureaucratic corruption in government agencies.

Infrastructure Security–Most organizations today are still easy to hack. Using blockchain, enterprises can effortlessly share data securely. With blockchain’s advanced cryptographic methods, we can also reduce the rate of hacking.

These are some verticals are likely to see significant advancements from blockchain technology. While there are several vendors that offer recommendations for Blockchain implementation, enterprises need to understand and decide what suits their business requirements, and syncs well with their goals.

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DevOps and the Future of QA

DevOps has been the talk of the town for some time now. The evolution and execution of the tools and procedures that facilitate its use are still growing. From insane articles like ‘DevOps will Kill QA’ to QA pundits coming out to the rescue of testers saying that ‘QA will be an integral part of DevOps’, the internet is full of information around DevOps and how it affects QA. Here is a quick look at what DevOps is all about and what it means to QA folks. In simple terms, DevOps is a methodology where Software Developers (Dev) collaborate with IT (Ops) that involves automation of software delivery and infrastructure. A decade ago the responsibility of QA was to find the bug and document it and that was it. This was a more casual approach.

Throwing the siloes to the pasture, DevOps seed time to market, and we can only hope that more and more enterprises adopt this in the coming decades. As more companies open their doors to collaboration, DevOps is also transforming testing methods and routines. The short development cycle normally associated with agile is also aiding in this mind shift. Therefore, DevOps and Agile can no longer be ignored as a passing trend.

Emergence of DevOps and Rise in Popularity

DevOps symbolizes a change in IT culture, concentrating on prompt IT service delivery through agile adoption, lean practices of a system-oriented approach. DevOps seeks to improve collaboration between development and operations teams. DevOps implementations make use of technology particularly test automation tools that can leverage more programmable and dynamic infrastructure from a life cycle perspective.

Over the years as CIOs and CTOs have been forced to bring down the ‘Cost of Quality’ and hence the focus of QA has shifted from a ‘casual’ approach to ‘a value-driven’ approach. It’s now more about preventing defects than finding defects. The traditional waterfall model gave way to agile and now DevOps that allow frequent build and releases to production. As the digital transformation continues to accelerate into more industries, there is an increase in the adoption of agile and DevOps principles to ensure organizations can achieve the speed, quality, and scale needed to succeed. Security, performance, customer experience, and quality are more important than ever. At ImpactQA we have been seeing a growing demand for security, performance and UI/UX testing from our customers.

While organizations are struggling to find the answer to the question of how to achieve speed with the right level of quality, DevOps seems to have provided a solution. The shift-left approach would allow QA to be directly embedded into the sprint team or the scrum teams right from the inception where they’re involved from the word go and start writing the test cases as soon as a user story is complete. Also, a striking development in the approach to QA is the uptake of continuous monitoring with predictive analysis, along with the increased adoption of more cloud-based test environments. This shift-right approach would allow QA engineers to take product feedback from the end-users.  The Shift-Right approach to testing also empowers the test engineers to test more, test on-time and test late.

DevOps Statistics

For those who doubt, here are some additional DevOps statistics to take you over the top regarding enterprises that employ DevOps:

38% report a top quality of code production

63% experience upgrading in the quality of their software deployments

63% release new software on a frequent basis

55% noticed improved collaboration and assistance

What does this mean to QA Engineers?

1.    As DevOps brings in more and more automation to the fore, the need for traditional manual QA will decline sharply. However, manual functional QA would not cease to exist. 2.    Not only would the QA need to understand the technology, but they will also need to understand the business and the end-customer. The end customer is a lot close to the business than ever before, with profound implications for the Quality Assurance and Testing functions. 3.    QA will have to change their mindset and start helping people instead of providing a transactional service to them. E.g. I would expect an automation QA to reach out to a developer (proactively) and say ‘Hey, for each UI element, you need to put an identifier and not have us rely, for example, on the X-Path will change. That will make tests more robust’. 4.    Automation is still evolving and there is a growing trend to higher levels of intelligent automation, largely driven by data-rich digital applications. QA engineers will have to be much closer to technology than they were a decade ago. In summary, DevOps testing has opened up an exciting and intriguing world of self-aware, self-remediating, analytics-driven automation and a paradigm shift in the QA mindset.

What Can We Expect for the Future of DevOps?

DevOps has come a long way. Initially, waterfall methodology was the way of the world. Then, tester teams learned to shift left and test soon. They turn out to Agile. However, when DevOps accelerated, it scaled to fit the needs of bigger and bigger software testing teams. And now DevOps is growing and becoming smarter, thanks to new-edge technologies like artificial intelligence and machine learning. Teams today chase continuous testing for rapid releases and accelerated DevOps. The future of DevOps holds how DevOps will look entirely different in the coming years.

Change is exciting and the future of DevOps is bright. There is no shortage of it on the horizon for web and mobile app testing!!

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Is Katalon Studio the Best Software Testing Tool of 2020?

Test automation has become a crucial part of the software industry. The automated testing tool supports testers to simply the tricky and strenuous task of the testing with the minimum script. However, it is recommended that software testers compare several tools to select the best one meeting their test automation requirements.

Just like technologies, software testing tools continue to evolve, making cost a crucial factor in tool selection. Non-commercial and open-source tools, on the flip side, do not incur extra charges but demand expertise and effort for integrating new upgrades. It is difficult to find the expertise and support required for integrating several tools and test automation frameworks into open-source solutions. But emerging tools like Katalon, offer a feasible alternative to both open-source and commercial automated testing solutions and can easily integrate with open-source test automation frameworks.

Katalon Studio is truly a powerful automation tool that brings more intelligence to the complete automated test process. Along with TestComplete, Ranorex, Selenium, and Apache JMeter, more and more testing engineers opt for Katalon Studio. The platform facilitates running automated tests for APIs, Web interfaces, and mobile apps (Android and iOS), provides test recording, and analysis reports.

Overview of Katalon Studio Tool

 Katalon Studio is a test automation platform that offers broad features to implement entire automated testing solutions for API, mobile, and web. Putting on the tester’s favorite list, katalon studio eliminates the complexities of building an automation framework by integrating all essential test components with built-in keywords and project templates. 

It comprises full feature set for a complete automated test process covering different platforms and test types. New users can easily commence test automation using its simple-to-use interface and the intelligent playback and record engine while advanced users can design and execute test strategies realizing DevOps or CI best practices. The tool can easily support various testing technologies (TDD or BDD, Page Object Model, Data-Driven Testing, etc.) and integrate with the modern ALM systems (qTest, JIRA, Katalon Analytics, CI, Slack, etc.). Katalon Studio test automation tool supports parallel testing with several browsers, and you can also make use of it with remote service providers like Browser Stack or SauceLabs.

Features

Free tool

Supports varied types of testing

Automated mobile and web testing

Integrated with CI or DevOps workflow

Intuitive analytics dashboard and reports

User-friendly GUI

Wide toolset and integrations

Mild learning curve plus learning materials

Support web API testing

Ability to create quick automation tests

Running cross-browser testing

Recording and play-in

Get out-of-the-box integrations with Jenkins Jira and a set of test management tools.

Its user-friendly interface acts as a wrapper over the Appium and Selenium libraries. It also gives manifold ways to create a test case. So, you might wonder about what rewards you get from katalon studio vs appium or katalon studio vs selenium. The answer is both Appium and Selenium are simply API libraries, not software testing tools. You need to program functionality from scratch to form a framework using these libraries. However, Katalon Studio does all this heavy lifting. Hence, you get an out of the box test automation framework already generated for you.

For Instance, You Can:

Programmatically create a test in the scripting mode with the aid of Groovy or Java

Use the keyword-driven approach, which allows you to craft a test case where you select actions and data and keep on adding up rows to generate a test case

Record or playback a script using their build-in record or playback feature

You can also insert external jar dependencies if you have a third-party Java library you want to use

Katalon Studio Review–Is It Better Than Other Test Automation Tools?

According to a recent World Quality Report released by Sogeti, the significant criteria to be considered for test automation tools selection is “the focus on delivering quality at speed and supporting frameworks such as agile and DevOps to deliver much greater results and take QA and testing to the next level”.

Katalon Studio has recently been listed as one of the best UI test automation tools by Microsoft Testing Services of Microsoft Developer. This is a notable recognition and some research also confirms why Katalon Studio has been considered the powerful free automation tool by the QA and software testing community. To quote Katalone, “Katalon Studio is a robust automation solution for your mobile testing projects.” Testing a humble mobile application to intricate test cases, one requires a versatile tool like this that can perform it all.

Katalon Studio is one of the good choices for small and medium businesses. Katalon offers technical and aesthetic advantages to match. It’s an evolving tool with integrations that allow you to cover a range of testing with a single tool. It is easy to use and free. Specialists with varied QA roles and different programming skills can use it, making it a smart solution for tester teams. Overall, Katalon offers a user-friendly experience with less effort.

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Managing Continuous Integration with Jenkins 

Jenkins is an open-source automation tool written in Java with plugins built for Continuous Integration and Continuous Deployment. It provides a user automation server that can be used to automate many tasks related to building, testing and delivering/ deploying of Software.

Some of the Key Factors to Understand Jenkins are listed below :

Continuous Integration– It is a software development practice that requires developers to integrate code into a shared repository at a frequent interval of time. All integration is verified by an automated build to detect integration errors as quickly as possible. Hence, every commit made in the repository is then builtdue to which the team can identify the bugs early.

Continuous Delivery– It is a set of practices planned to ensure that code can be quickly and safely deployed to the production by delivering every change to a production-like environment and assuring business application and services function as expected through precise automated testing.

Continuous Deployment– In continuous deployment, every change made is automatically deployed to the production. It is the next step after continuous delivery.

So, Jenkins allows a user to continuously deliver their software by integrating with a large number of testing and deployment technologies with the help of continuous integration, delivery, and deployment.

Why Jenkins Should Be Used Irrespective of The Traditional Way Of Deployment?

Let us assume a scenario where the whole source code of the application was built and then deployed on a test server for testing, it seems like a precise way to deploy a software but this process has many defects such as-

Developers must wait until the entire software is developed for the test result

There are many possibilities that result might show many defects, it becomes difficult for the developer to identify all the provided bugs and also to verify the whole source code of the application

It slows down the software delivery process

The whole process was manual which increases the chances of frequent failure

Hence, Jenkins is the best way to continuously trigger a build and test for every change made in the source code. There are multiple plugins available in Jenkins which help to achieve continuous integration and deployment such as Maven, GIT, Selenium, Puppet, etc.

GitLab’s Jenkins integration allows us to trigger a Jenkins build when a code is pushed to a repository, or when a merge request is created. Now let’s look at how we can integrate Jenkins and Gitlab. Maven’s Jenkins integration allows adding all the dependencies for the provided application and Selenium Jenkin’s integration allows automated testing for the provided application.

How to Set Up Jenkins?

The following are the steps to start with Jenkins:

Open Chrome browser and go to “https://jenkins.io/download/” and choose the specific platform from the list

2. Go to the downloaded location and unzip the package and run Jenkins.msi file

3.  Setup the Jenkins.msi file and finish the setup while providing the location for the same

4. After successful installation of Jenkins.msi file, the user needs to search “localhost:8080”, a browser tab will popup asking for the initial Administrative password

5.User needs to copy the provided location “C:\ProgramFiles(x86)\Jenkins\secrets\initialAdminPassword” and paste in the system’s location where you will set the initial password for your Jenkins

6. Users need to customize Jenkins as per the requirement then, click on install suggested plugins

7.  After all suggested plugins were installed, the “Create First Admin User” appears. Fill all the required fields and click on the “Save and Finish” button

8. After successful creation of the admin’s user, Jenkins dashboard appears to “create a new job”

Continuous Integration is a set of practices to build the code with every commit. Jenkins is a famous CI tool that helps to execute a continuous integration pipeline. We can easily create a Jenkins pipeline in two dissimilar ways — Jenkins Job Builder and Declarative Pipelines. Jenkins Continuous Integration helps in test automation, giving speedy feedback, reducing the development cycle, and assisting in continuous integration of code.

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