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During the Waterfall Model of software development, software testing was taken up at the end of the software development life cycle (SDLC) and it resulted in many bugs, thus delaying the release time. Such method of software testing at the end of the SDLC does not hold good anymore and with Agile and DevOps methodologies on the go.

When the testing process actually starts at the beginning of the code development stage, it is specifically referred to as Shift-left approach wherein testing goes hand in hand with development, in an order of Continuous Integration (CI) /Continuous Delivery (CD) method.

Evidently, with testing taking place in parallel to code development under DevOps methodology, it suffices the CI, CD and Continuous Testing (CT) process. But, still organizations today face a lot of Quality Assurance (QA) challenges such as time constraints in development and test cycles while manually testing diverse applications.

Hence, the most efficient way to deal with testing applications is to adopt a well-integrated and robust test automation solution that can predict and simulate business scenarios. It should be coupled with an appropriate test automation strategy, approach and a well-defined test automation framework to deliver quality software at speed under agile and DevOps environments.

Role of Test Automation in Agile and DevOps Agile Environment

Under an agile environment with iterative & an incremental model in place, Test automation delivers quality at speed within sprints, as functionality can be developed and tested rapidly. It is common that agile teams are spread across geographies and setting of infrastructure across, becomes a costly deal. But, cloud-based test automation tools allow the teams to access the tool from any device and collaborate towards achieving the end goal for delivering a quality product.

It has also been observed that under agile scenarios, the number of tests continues to increase exponentially across each iteration and an automation tool would efficiently handle it and ensures early to the market. Moreover, under Agile, you can automate your functional and regression tests to ensure the product performs quickly and exactly as per the requirements.

DevOps Environment

To achieve speed and agility in DevOps, it is important to automate all the testing processes and configure them to run automatically when the deployment is completed in the QA Environment. Specialized automation testing tools and continuous integration tools should be used to achieve this integration to deliver quality.

As DevOps embraces a culture shift, it breaks silos to build, test and deploy applications, in order to achieve quality with reduced deployment times. Automation tools play an important role to achieve the implementation of CI/CD/CT. Thus, Test automation is undoubtedly the secret to the success of DevOps.

Major Benefits of Test Automation

– Delivers accurate test results and ensures quality deliverables

– Facilitates automating maximum steps that can be possibly automated

– Increases the speed of test execution

– Provides rapid feedback to reduce the cost of fixing defects quickly and efficiently

– Saves time enormously due to shorter test cycle times

– Removes tedious tasks with the automation of such tasks

– Frees up manual testers (team members) who can be utilized for other tasks

– Ensures all measures to maximize benefits, while minimizing costs

– Parallel execution of tests helps in reducing time-to-live, which in turn is the crux of a successful DevOps implementation

– Test automation also plays an important role in Shift-Left approach, as it unlocks continuous testing throughout the SDLC reducing the feedback loop and costs associated with testing

Conclusion:

The software testing process has been taking a shift-left approach for a while now, wherein testing is executed in parallel with the development leveraging the CI/CD approach. With the agile and DevOps on the go, test automation needs to be adopted by every enterprise to achieve quality at speed.

TestingXperts has profound knowledge and ability to perform test automation and has delivered significant cost savings to the clients. TestingXperts’ Test Automation Framework (Tx-Automate) helps in drastically reducing the effort to kick-start automation and offers a fully operational test automation solution.

Tx-Automate further helps in enhancing the quality and consistency of testing by removing all possible manual errors and increases the test coverage by creating the testing process more efficient to ensure quality at speed. Connect with our Test Automation Experts to leverage our next-gen QA services.

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In today’s cyber world, with vulnerabilities all around, security is a vital component for every organization. If there are lapses in the infrastructure and network security, companies face unexpected costs and will not be able to run their businesses successfully. With ever-increasing vulnerabilities and cyber attacks, companies should protect their applications and digital assets from cyber threats; web applications are more susceptible to these attacks. Penetration testing is one type of security testing that should be taken up to detect recently discovered or any previously known vulnerabilities or weaknesses in their network, computer systems and applications. This type of testing aims to identify vulnerabilities in a system that might impact the integrity and confidentiality of data by emulating a real attack.

When Should Pen Testing be taken up?

Pen testing should be taken up after deployment of new infrastructure and applications, or when changes are made to firewalls, firmware updations, or when any upgrades and patches are taken up for systems. This testing effectively checks the organization’s ability to detect intrusions and breaches, if any. There are many reasons why organizations should focus on penetration testing.

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It is important for today’s businesses to visualize that Performance testing forms an integral part of quality assurance. Application Performance Testing is the key to derive high performing E-commerce applications, mobile apps, and other customer-facing apps. Performance tested applications ensure that released software meets the agreed Service Level Agreements (SLA’s) and essentially delivers higher user satisfaction levels. Such well-tested systems perform seamlessly even under varying load conditions with concurrent users.

Statistically, only applications which perform well even when the concurrent user’s access it without any glitches tend to attract and retain customer base. Such apps help to push up their respective brands. Hence, it is vital for enterprises to take up effective performance testing strategy to maintain and protect their brands.

There are certain performance testing tools that can be used to deliver effective performance to e-commerce, mobile apps, and other systems. Some of these tools are available as open source and as paid tools, which are used to perform various types of performance testing such as Load, Stress, Spike, Volume, Capacity and Soak testing.

7 performance testing tools trending in 2019

1. LoadRunner:

Tool Overview: It is the most widely used tool to test applications, measure system behaviour and their performance under varying loads. The tool is used to simulate thousands of concurrent users and record the variations in system performance. Afterwards, leveraging those results, the performance of key components of the application can be analysed. This tool supports all advanced technologies like Ajax, Flex, HTML5.0, Java, SOAP, Citrix along with all other legacy technologies.

Tool Functionality: It supports testing of a wide range of applications along with continuous testing. The tool effectively identifies performance bottlenecks and displays the root cause analytics.

2. Apache JMeter: 

Tool Overview: It is an important open source tool used to test the performance of both static and dynamic applications. It is a Java-based application used for load and performance testingwhich is used to test Web applications, SOAP & REST web services, FTP, databases and more. Interestingly, JMeter is also widely used performance testing tool, which is effectively used to load test web and mobile applications and measure their performance.

Tool Functionality: Originally it was designed for testing web applications, but later on it has been expanded to test other test functions. It is also used for simulating a heavy load on a server or a group of servers and essentially checks application performance under varied load conditions.

3. WebLOAD:

Tool Overview: This is a widely used tool by enterprises for testing web and mobile applications. It is an effective tool as it combines performance, scalability, and integrity as a single process for testing applications. It is an alternate to LoadRunner.

Tool Functionality: This tool is used to create mobile load tests either by recording native mobile apps or browser-based apps, directly from the mobile handset. The ease of the tool is; the user can edit any scripts, add parameters and perform validation checks. After creating mobile scripts, it executes the mobile load tests and this tool integrates with a real mobile device.

4. LoadView:

Tool Overview: It is used for cloud-based load testing and empowers DevOps teams to efficiently test websites, web-apps, and application programming interfaces (API’s) with thousands of concurrent users. The agile and DevOps teams can test their website’s UX under load, verify performance and identify various bottlenecks within applications. This tool simulates API calls, validates API responses and verifies the most important SLA requirements.

Tool Functionality: LoadView uses the Google Cloud Platform (GCP) and Amazon Web Services (AWS) to generate concurrent users load over the cloud during the load tests. The agile teams can test most complex applications by designing multiple test scenarios to test for. This tool tests and determines if the website (under testing) can handle spikes in traffic by generating load with a set number of concurrent users. Also, it tests the limits of infrastructure, every time by adjusting the load in real time. The test results can be seen in LoadView’s web interface and reports can be obtained either in CSV or PDF formats.

5. LoadUI Pro:

Tool Overview: This tool is used for load testing REST, SOAP API’s, databases and microservices. The simplicity of this tool is, it does not require a specific skill set in load testing and any user can create and execute tests. It is used to guide in building realistic performance test scenarios.

Tool Functionality: With LoadUI PRO, there is a flexibility to reuse all functional API tests built on the industry’s best open source tools. It helps to reduce the time taken to deploy REST and SOAP web services. It provides key insights that help to fix any performance bottlenecks. Its powerful and intuitive capabilities help to deliver scalable API’s. This tool is used to test the speed and scalability of new changes to the APIs in a short span of time. Users can gain insights from real-time API load tests and ensure that the API will handle any demand effectively. 

6. VSTS:

Tool Overview: VSTS stands for Visual Studio Team Services; is an extension of Microsoft Visual Studio. It is an integrated development environment (IDE) and is usually run in the cloud (Azure). The tool is used to load test mobile applications or website’s performance before their launch to check any performance bottlenecks even before it reaches the customers.

Tool Functionality: This tool is used to run URL-based load tests with Azure DevOps and sets all the required parameters to run the test. When the test is completed, the results display the overall application performance in a separate summary page. This page displays important metrics such as average response time, user load, requests per second, failed requests, other intervening errors along with test usage. Response time pinpoints the time an application has taken to respond to requests which are the key metrics for measuring any app’s performance.

7. CloudTest:

Tool Overview: This tool helps to stress test environment to ensure the website or an application is stable even under the spikes or in heavy traffic. It generates actionable insights that help dive into the live data and effectively know any performance issues while load testing is in progress. It enables continuous testing in the cloud (anytime without worrying about any hardware), eliminates traditional costs and gives more value to it.

Tool Functionality: This tool is a useful global load testing platform that is scalable and used to run tests to receive actionable insights from the results.

Overall Benefits with Performance Testing Tools:

– Helps in testing current scale & emulate real-time usage at peak loads to validate the performance
– Gives the flexibility to test applications with millions of users and checks system performance
– Helps improve and adjust the efficiency of an application
– Evaluates quickly and effectively the performance issues of software
– Protects brand reputation as the application loads in quickly even in heavy user loads
– Improves application’s optimization and load capacity
– Enable websites and mobile applications to load quickly without any performance issues

Conclusion:

These performance testing tools play an important role in enabling businesses to avail top rated applications without any performance glitches. Businesses need to essentially get their applications tested for performance to ensure that they meet the agreed SLA’s. Performance is key to the livelihood of mobile apps and mobile-optimized e-commerce sites to function seamlessly.

Specific performance testing tools can be used to efficiently test applications and businesses can leverage independent testing service providers to get their applications tested.

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An Understanding of Performance Testing

Performance testing is a non-functional type of testing and involves the process by which software or an application is tested to know its current system performance. It checks how your current system performs in terms of responsiveness and stability when tested under varying workload conditions. Effectively, the system is tested under multiple and different load and network conditions and it scrupulously checks the time taken by the system to respond under these loads

This testing process primarily determines the speed with which the system works and it involves tests that are performed within a lab referred to as quantitative tests and the tests that occur in the production like environment. Currently, with Agile and DevOps methodologies on the go, this testing process plays a crucial role in the software development life cycle

Every business is in need of software applications that perform well under varying load conditions and only such apps with quick loading times will have demand in the market

What Does Performance Testing Check in any Software?

There is a fear with respect to how an application or a demanding software performs under varying loads when it goes live. Under such situations, Performance testing actually measures the Speed, Scalability, Reliability, Robustness and Stability of the application when the system is tested for varying loads of users

Primarily Performance Testing Evaluates the below:

Speed: The system is tested and evaluated to check the speed with which it responds

Scalability: Checks the variation in response time/scalability as the load on the system varies

Reliability: Validates whether the app is reliable under prolonged periods of high user traffic

Stability: Evaluates if the system is stable under heavy concurrent user load

Further, Performance Testing also accomplishes the below:

→ Evaluates whether the application is production ready or not

→ Checks and evaluates the various app performance criteria

→ Validates performance characteristics of various systems along with system configurations

→ Identifies if the system has any bottlenecks

Evidently, the actual process of performance testing is achieved through the different phases that its testing comprises of

Different Phases of Performance Testing

1. Analyze and evaluate the existing system

2. Gather metrics about the current system performance

3. Develop the required test assets after thorough analysis

4. Create reusable test scripts

5. Configure the load generation environment

6. Start and execute benchmark tests

7. Analyze the results

8. Provide performance improvement recommendations

9. Generate an interim report for each test run

10. Generate final closure report once all the planned tests are completed successfully

Certain Bottlenecks with Respect to Performance Testing

Any of the below mentioned can be effective bottlenecks during the testing process:

→ Software Bottlenecks: Issues with DB queries, Application integrations etc.

→ Hardware Bottlenecks: Shortage of RAM, Disk and CPU resource usages

→ Network Bottlenecks: Transmission medium’s limitations

→ Bottlenecks with Test Environment: Performance test environments tend to be smaller versions of the production environment

→ Issues at times with an unrealistic user behaviour

→ Issues due to the presence of a single or fewer server instances

→ Another constraint is only a subset of functions can be automated at any time

What are the Different Types of Performance Testing?

There are various types of Application Performance testing, but the common among them are:

Load testing: This testing is performed to validate the system (application under test) performance under normal (usually around 70% of peak user load) and peak user load. This type of test helps us to tune the system and finalize the baseline

Stress testing: This type of testing is done to identify the breaking point of the system when its subjected to a user load beyond the expected peak. The breaking point can be defined as a load at which either the response time degrades beyond 10% or transactions start failing by more than 5%. Usually, we subject the system to up to 2x of peak user load during the stress tests

Spike testing: This is a subset of stress testing and it analyzes the behaviour of the system by suddenly varying the number of users and it also checks if the system is able to support such situations efficiently

Endurance testing: It is a non-functional type of performance testing and typically checks the behaviour of the system when it is under significant load (around 70% of peak load) for a longer period of time (usually 8 hours to 72 hours). Specifically, the system is checked for resources leakage like memory leaks, the system fails or any other random behaviour that might be shown by the system

Capacity testing: With this type of testing, also known as scalability testing, helps to identify the actual number of the users that the system can support with current hardware capacity

Volume testing: The system performance is checked by executing multiple data-intensive transactions and validating how efficiently the system behaves with such data volumes

How Does Performance Testing Help Your E-commerce Sites and Mobile Applications?

Delivers Good Speed & Reliability: Your E-commerce website and applications run at good speed even under different loads as these have been tested for their performance. Websites with good loading times are known to attract more traffic due to their effective performance and thus your brand will become more reputed

Ensures Systems with High Response times and Good Scalability: Systems that have been tested for their performance, perform really well without any issues even when numerous user’s login simultaneously. Such systems enhance your brand reputation due to their effective performance

Some of the Most Common Tools Used for Performance Testing are: Jmeter, Load Runner, IBM RPT, SmartBear LoadComplete, SmartBear LoadUI, OpenSTA, Grinder, Silk Performer and many more

Conclusion

Application Performance testing validates various factors and checks applications to ensure and maintain their reliability and scalability. Whether your application is an E-commerce website or a mobile app or any other system, it should be well tested to show effective performance characteristics. Hence, it is an important factor for all business applications to handle the real-time traffic and overcome other performance problems for which performance testing should be taken up with testing services providers

Leverage TestingXperts Performance testing services to enhance your application performance and such high performing apps are bound to drive more traffic and help spread your brand

Keep Watching this space to know more on the latest Performance testing tools in depth…Coming Soon!

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In today’s competitive world, businesses should understand the fact that only the best applications thrive well and continue to attract a lot of traffic. This prevalent concept has made software application development and software product development vital for all businesses across industries.

The Application Program Interface (API) is a set of processes, protocols, routines and tools for building these critical software applications. It is rather an interface that allows software applications to communicate with one another and is mainly used while programming the graphical user interface (GUI) components. There is a lot of significance as an API specifies how its software components should interact with each other.

API Testing

APIs are essential for creating an effective and connected experience for customers and thus businesses are beginning to realize their value. Understanding the depth of its role with respect to applications, hence the importance of API testing has come into place.

This specific testing involves testing of the application interfaces directly as part of the integration testing to determine if the application perfectly meets the expectations for functionality, performance, reliability and security.

According to a report on API Testing market outlook from MarketsandMarkets, the global API testing market size is expected to grow from USD 384.3 Million in 2016 to USD 1,099.1 Million by 2022, at a CAGR of 19.69% from 2017 to 2022. It has also been predicted that in the API testing market, the BFSI vertical is expected to grow at the highest rate during the forecast period (2017-2022).

Undoubtedly, investing more time and effort in API testing leads to better quality products that dominate the market with good reliability, security and performance.  

What Does API Testing Revolve Around?

– To ensure the APIs work as expected

– To specify and ensure the application can handle the desired load

– To establish the APIs work seamlessly through the operating systems and devices

– To ensure the data that passes through the API is in lieu of compliance & security

– To make sure all the business rules have been correctly implemented at the API level

– To enable a better user experience

– To ensure easier expansion of applications

– To make sure the API provides the required functionality

How is API Testing Done?

1. Set up the Environment:

Initially setting up of the environment should be done with the required parameters that need to be configured for the given API. This includes configuration of server and database as per the API requirement.

2. Define the Test Plan:

The test plan varies based on product type and API. But a solid test plan should cover all scenarios in depth, clearly define the priority of scenarios that need to be tested. It should also include some of the common testing types like unit, integration, security, performance and third-party API tests.

3. Make an API Call:

It is important to make an API call to ensure there are no broken links in the process of testing as it is crucial before proceeding with the actual testing.

4. Combine Data with API Tests:

This step helps to make sure the interface functions as expected with the provided parameters after being configured.

Are these API’s Really Business Critical; How does API Testing Play a Key Role?

The interface is the heart of any application and if the product interface is not good enough, then it shows an adverse effect on its viability. It is a known fact that applications are getting more complex due to the varying end-user needs and in order to meet them, the API’s have become vital tools for businesses across every industry segment. Hence, it necessitates the need for an effective API testing at first hand.

Moreover, there is a significant chance that the API’s can be hacked. It is also unfortunate that whenever resources are exposed to the internet, it is likely to be attacked in some way or the other. Hence integration testing and API security testing is critical for all businesses today.

This testing not only ensures security standards but also confirms that the overall system will perform well even under varying loads or network conditions.

Joe Colantonio, an eminent testing domain blogger in his blog on “Why API Testing is Important,”  justifies the importance of API testing, saying that API testing is important with the agile practices on the go and with the internet of things (IoT) all around.

He further adds that agile has increased the frequency with which applications are released which in turn has created an increased demand for new ways to quickly test them. GUI tests are typically too slow to get the test coverage and since API tests do not rely on a UI to be ready, thus they can be created early in the software development process.

Undoubtedly Robust API Testing is the Future; But WHY?

– It tests the API’s for their capabilities to integrate, stand out to expected functionalities, equally weigh aptly for performance parameters and meet up the security standards

– It helps to verify code, discover the defects at an early stage and evaluate any unwanted code

– This testing exposes coding issues that either manual or automated tests might miss

– Its superiority is that it is far less time consuming than functional GUI testing

– This aptly tests the core of your product’s functionality and it is the truth that functionality typically determines the end user’s expectations

– With API’s, integration of tools or programs can happen at any point of time to enhance the experience and functionalities of the software

– API testing is indispensable and test automation is leveraged currently to make the testing process faster and error-free

How can Testingxperts help you with Effective API Testing?

Pure play testing services providers like TestingXperts have a good number of expert API testers and provide the perfect environment to test your application interface effectively and efficiently as they have:

– Expertise on a wide range of API protocols like XML, SOAP, JSON, REST, Gdata, YAML, ATOM, RSS, and RDF etc.

– Experience with testing for code level functionality and ensure test accuracy

– Experience to perform end-to-end application validations at various layers of the application

– Expertise on leading industry tools for API testing for functional, load, and security testing

– Ample exposure with the automation of API test cases

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Scriptless test automation is one of the solutions to maximize the scalability of test automation. It enables the testers and business users to automate test cases without worrying about the coding. It helps to achieve faster results and reduces the time expended to understand the code. Explore its benefits

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Folding the pages of some recent headlines throws an interesting pattern. Netflix is fiddling with mobile-only plans for countries like India and leaning heavily towards local content, while, Amazon is testing video ads for expanding product reach and mobile search on the Apple iOS version of its shopping app (with the possibility of getting into Google’s Android mobile operating system space soon).

This is not a recent move. Even when it reaped a considerable chunk of brands shifting to Amazon for search budgets and for advertising-on-the-site, Amazon embraced a change that was risky but worth betting upon.

This ‘mobility’ move is not just a random wave with these iconic brands. Many platforms and technology giants are experimenting with the surge of possibilities and devices that are giving marketers both opportunities and challenges that are unprecedented. Because there is more to come.

Cisco has predicted that there would be as many as 30 billion connected devices by 2020 (both consumer and industrial IoT devices). Brands would definitely want to leverage this slated 500 zettabytes per year in data that IoT would be generating by the end of 2019. Imagine the sheer level of complexity and growth that we could be heading into when we think of 5G, Virtual Reality and Augmented Reality mixing in with this buffet of devices.

Translating all this growth into market strongholds would mean an extra burden on the testing side of new services and offerings that marketers bring forth in this new era. But apart from the volume of testing, this new scenario of mobile testing would also mean a new paradigm of testing in terms of what it tests, how much, how soon, where and why. That, in other words, suggests the rise of digital testing.

Switching to Digital

As testing becomes more challenging and replete with diverse-goals in the face of the huge tide of new data and devices, there would be new parameters that will get underlined. It would not be enough to test an app or product just for functionality. It would need to have relentless customer empathy. There would be a big thrust now on making sure that whatever is being tested is not intrusive but at the same time is something that amplifies the experience and plays well on context.

Digital testing would arm testers and businesses in this redefined landscape of experience testing since it would be able to crack the tough job of testing evolution and experience. Agility, real-time element, iterative testing, and adaptive testing will empower digital testers with all the strengths that were missing in shift-right testing environments so far.

Think and Test – Like a Customer

In the next milieu of online and anytime commerce and omnichannel marketing, customer experience would become the ultimate test for any brand and brand-offering. This is why digital testing will become more relevant and fortifying for a brand where testing the features and independent performance of one application will not cut the mark anymore. Also, testing only at the fag end of coding just won’t suffice. It is a world where testers have to test an application throughout development and in context to other devices and environments that a user would be in.

The metrics of usability, experiential testing, design optimization and remote testing would become more significant than ever. These are primarily the levers that digital tests allow. The tools, frameworks, and components entailed in digital testing also make room for testing automation, mobile performance testing and testing with an agile methodology underlying these capabilities.

The idea is to weed out issues that will hamper the speed, performance, scalability, and experience of any app or service. That cannot be done with yesteryear testing. It has to be done in a language that works today. Embrace the power of digital testing and give a new fluidity, user experience assurance and compatibility confidence to the apps you bring out for enhancing your brand and business. Digital testing is more than testing and more than DevOps. It is testing with a new mindset.

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If it has not crossed your desk or Inbox yet, you can catch up on tiny details at the next lunch break with your Project Managers or CTO; but for now, just glance at the World Quality Report 2018-19 that surveyed 1700 CIOs and other senior technology professionals (10 sectors and 32 countries)

The report unravels how ‘user satisfaction’ is coming on the top of the stack of most Quality Assurance (QA) and testing strategies. The advent of customer-centred innovation, digital transformations, agile approaches, DevOps, Internet of Things (IoT), Cloud, etc. is fuelling this change. But above everything else, what stands out is a list of recommendations that make you reconsider the very role of QA.

The report urges professionals and managers to:
– Amplify the level of smart test automation
– Transform QA and test function to support agile development and DevOps teams
– Invest in smart QA and Test platforms, and
– Define a test platform strategy and QA strategy on an enterprise level

But these are no surprises. When the report noted that 99 percent of respondents are using DevOps in at least one of their projects and that automation is emerging as the biggest bottleneck that is holding back QA and testing today – is it not just iterating what you see in your office and scrum-huddles every now and then?

The Big Burst – Choices, Challenges, and Complexities

We are in a time where devices are proliferating at a never-before speed, where 97 percent of respondents (in the report) show some kind of IoT presence in their products and where Cloud, DevOps, and Agile have ceased to be mere powerpoint enhancers. They are now stark realities that software and application teams encounter and leverage every day. No wonder, there is a pressing need to bring Software Development/Design Engineer in Test (SDETs) into the team; and to inject skills in security, nonfunctional testing, test environments, and data management among testers. The challenges and context of this modern software/applications world have created a seismic shake. It is a post-Uber planet where only the best will survive. And relying on QA alone is not going to make the cut here.

Why QA needs an intervention?

Quality Assurance (QA) only entails activities for ensuring quality, spotting flaws early enough, code review, analysis, and refactoring. But the users need a stronger and broader variant of this approach. One that goes beyond testing cycles, one that percolates into the culture and the very way developers and designers think about software. Yes, get set for the arrival of Quality Engineering (QE).

Quality Engineering transcends quality control, quality assurance, and testing. It is proactive, strategic, forward-looking, intuitive and is way bigger in scope than QA. It is not limited to processes and procedures. It expands into the realm of the way these processes come up – right at the nucleus of ideation and user-empathy. It straddles across all areas of QA and testing and lifts quality to an altogether new level.

You will notice that QA is inclined towards some earlier stages of the software development, and had a postcode-writing role wherein QA teams checked what developers had written. But QE is not the fag end of a software cycle. It is a radical way that starts way ahead of where code begins. It permeates the entire development flow. QE helps organizations and developer-tester teams to come together against the onslaught of the diversity as well as the exponential rise of too many devices, platforms, applications, and content needs.

QA alone would not suffice to match the speed, persistence, and thoroughness that the Agile development and Shift-Left world demands today. Quality Engineering ensures that quality is embraced early on and is enhanced at every step and desk – and not just at the exit door doormat of software code. It undertakes end-to-end and architectural approaches for comprehensive software quality.

But – How to evolve from QA to QE?

Organizations have to embrace this new culture and mindset to embark on this massive shift.

This is where a continuous integration model between developers and testers would come into play. Testing becomes consistent, embedded into code design and gets easy to integrate into the entire chain. Development becomes iterative, collaborative and adaptive. It also entails localization of problems and fixing of individual parts so that all red flags are addressed before the whole software adds up. Organizations will have to usher in a new way of looking at and designing the software development lifecycle. This has to be fortified with sustainable automation frameworks and methodologies, as well as Continuous Integration endeavours. Resources and bandwidth would have to be furnished so that a test infrastructure can flourish and integrate without any scalability or latency hiccups. Test environments and production environments would also need to be conjoined in a way that quality becomes a precursor rather than an afterthought. Automation of tests might be called for. QA folks might be asked to think and code like a user.

This is where the culture and habit parts would face a makeover. Helping and empowering others – beyond organizational silos, dependencies and software hierarchies – will be the new norm for Quality Engineering to get into action. Even the delivery aspects would change- get set for a scenario of multiple releases and entire-system-checks. QE teams are involved and impactful in software design at a new degree and depth; so that core functionality tests can be planned for with a proactive edge.

In short, the move to QE reflects but is not limited to, the switch-over from waterfall era to Shift-Left era of software. With QE in place, quality travels right up to the north-most point of any software.

QE is about thinking of quality all the time, at every level and by everyone around.

QE – More than a Vowel Change

Businesses in the current era of impatient customers cannot afford to have even a small disruption in their business-uptime. That gives a different gravity to quality. That is where QE shines. And a QE professional is much more than a coder or a tester.

Project managers and CTOs are gearing up to tap this new face and fuel of quality. It’s time for a new regimen – one that does more than simply measure.

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Application Programming Interfaces (APIs) define how a software program should interact with another through a set of routines, protocols and tools. They enable businesses across various industries such as insurance, travel, logistics, healthcare, finance and more to monetize data, engage and connect with other businesses/ customers through web, mobile and social applications. These industries are being transformed almost entirely with the widespread ability to get real time data using APIs, streamline their business operations and serve customers better.

APIs are helping businesses with everyday tasks and accelerate data sharing, resulting in a seamless interaction between external and internal applications. This improved speed and delivered business value. As more businesses develop and integrate APIs, there is an increased number of challenges and software application complexity because of the technology changes. This creates an incessant need for effective software testing.

What is API Testing?

API testing involves testing APIs directly as a part of integration testing to ensure APIs meet requirements at various levels such as, Functionality, Integration, Reliability, Performance and Security of an application.

Potential testing needs at API level

For businesses, to forge strategic business partnerships, bring innovation and growth to the next level, it is important to have effective API testing strategies in place. API testing mainly focuses on a Business Logic layer. It ensures businesses provide truly secure, scalable & reliable connections and transactions between external platforms or businesses.

Types of API Testing:

Unlike User Interface testing (GUI), which tests the interface part of an application with a key focus to test the look and feel of it, API testing tests the entire business layer of an application. It involves the following types of testing or practices:

1. Functional Testing – It tests the functionality of a broader range of scenarios to validate whether the API functions work as expected.

2. Integration Testing – It tests third-party applications integration, validates it and exposes a range of faults during the integration as well as interaction between external applications.

3. Automation Testing – It leverages a tool to speed up the API testing process, removes human error, and supports DevOps & CICT (Continuous Integration and Continuous Testing). Among various API testing, Functional API testing is a common test that is automated. Whereas automation can be applied for both Performance API Testing and Security Testing.

4. Performance Testing – It determines the number of requests an end-point can handle in API, calculates the response time of API, and validates the overall API performance by considering every instances as a part of integration testing.

5. Security Testing – It ensures that integration and implementation of API is secure from external threats. Also, it assesses session management and finds potential vulnerabilities from external sources.

The benefits of API testing in B2B landscape:

1. Faster execution

Because API tests are faster in terms of execution, they can be done during the development stage rather than slightly at the end stage. This provides an early evaluation and early detection of errors in an application.

2. Reduces testing costs

API test provides faster results and offers maximum test coverage. It identifies bugs at early stage and thus, helps reduce the overall project cost.

3. Technology independent

The data transfer modes in API testing are completely technology/language independent, allowing enterprises to automate their API testing for their application by selecting any core language.

4. A wide range of API testing tools

There are a wide range of API testing tools that present a friendly GUI (Graphical User Interface) for constructing requests and reading responses, a few of them include: JMeter, Test Manager, Eclipse IDE, Robot Framework, Postman, and more.

Conclusion:

Since APIs are the core element in today’s ecosystem, companies need to invest in building API tests more than end-user or UI level tests. Companies need to ensure the right way to implement APIs that can cut costs, bring efficiency and boost the bottom line.

At TestingXperts, we combine test automation with Artificial Intelligence to ensure seamless business transactions and ultimately help enterprises to deliver products that are error free and meet customer expectations.

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We have discussed FinTech challenges and the growing need for QA in the industry in our first post in this series.

In this post, let’s look at ways to overcome the challenges of testing a FinTech application, with TestingXperts’ specialized next-gen FinTech testing solutions.

As per some researches done to identify key causes of FinTech software application failures, one of the main reasons turned out to be poor software quality. Therefore, it is critical to carry out stringent QA on FinTech applications to avoid poor quality launch to end users.

Placing special attention on testing your Fintech app results in an application that works reliably across various channels. This gives company a good reputation in the market while enabling it to deliver excellent customer experience. Below mentioned are TestingXperts’ (Tx) accelerators and test automation solutions, which can be leveraged to overcome many potential FinTech application testing challenges.

Tx’s Banking Financial Services and Insurance Center of Excellence (Tx BFSI CoE)

TestingXperts’ dedicated BFSI CoE focuses on offering comprehensive range of solutions for testing FinTech applications, which includes tests across key segments in the industry. The CoE is built across the key pillars of People, Processes and Technology to ensure right skills, competencies, tools, frameworks, re-usable business scenarios/ test cases, methodologies and infrastructure are in place.

Tx Enablers to Accelerate Quality Engineering for the FinTech Enterprises

TestingXperts has a wide range of next-gen proprietary testing frameworks, such as Tx-Automate, Tx-IaCT, Tx-Insights Dashboard, Tx-Reusekit, Tx-Insure, and more which effectively align with the needs of the FinTech market and help in improving quality and reducing the time to market of a FinTech application.

Tx’s Portfolio of End-to-End Managed Testing Services

To ensure a seamless FinTech application experience, it is imperative to evaluate performance, security, and business functions of the application. TestingXperts provides comprehensive testing approaches and strategies through its portfolio of end-to-end managed testing services, including Functional testing (Manual and Test Automation), Non-Functional Testing (Performance Testing, Security Testing and Usability Testing), Test Advisory services and specialized next-gen solutions.

Conclusion:

If you want your financial firm to be competitive and achieve a winning position in the BFSI space, you must develop and launch high-quality FinTech applications in the market. Enhancing the quality of your FinTech application (software/product/service) will have the highest overall impact on your business and financial performance. Therefore, make sure your FinTech application testing strategy is comprehensive and covers all aspects of testing.

Connect with us to build a robust testing strategy for your FinTech application.

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