Thursday, 28 November 2019

How to approach Medical Device Testing


The critical role of medical devices can be understood from the fact that any component or software failure can put the lives of patients in jeopardy. To ensure these devices function to their optimum level on a consistent basis, they are subjected to a plethora of regulations and compliances such as IEC 60601-xx, IEC 17025, ISO 14708-3, and ISO 14971. In fact, the World Health Organization (WHO) has recommended to all governments the need to set-up regulations for medical devices. This is to assure all stakeholders of the ability of devices in offering necessary risk mitigation and minimizing harm in case of any malfunction. As a result, manufacturers have undertaken medical device testing to check various components and embedded software within such devices for enabling consistent performance.

The above requisites called for the medical devices testing specialists to define and implement the right testing strategy throughout the manufacturing process. To cite an example, manufacturers should validate every functionality of the medical device right from the concept and design phase for better test coverage. On the other hand, should they test the manufactured devices for functionalities and identify glitches therein, the cost of implementing solutions will be high and time-consuming.
Medical device testing identifies the risks and impacts of various environmental conditions and focuses on the reliability of devices vis-a-vis the inputs. It involves various types of testing related to the lifecycle, compliance, interoperability, reliability, and performance of medical devices. Medical device functional testing also focuses on risks concerning electrical, mechanical, and environmental aspects. The medical devices testing experts conduct technical testing on the subassemblies, components, and the finished product to ensure the latter’s effectiveness.

Devising an impactful strategy for medical device testing

The medical devices testing specialists should take inputs from the design team to create test structures that conform to the software, hardware, and other requirements. Moreover, the test requirements for devices are based on the manufacturing process, component specifications, and other functional specifications. These help manufacturers in carrying out tests throughout the manufacturing process - from selecting individual components to their final assemblage.

Practical approach to medical device testing

Any practical strategy to test medical devices should involve phases like analysis, design, deployment, closure, and maintenance. To validate testing as per the test requirements and parameters, the following types of testing are undertaken.

Microprocessor testing: To conduct effective performance testing of medical devices, they should be subjected to solid electronic testing. Since most medical devices come with built-in microprocessors, the test process should commence with microprocessor testing. Importantly, medical devices testing experts should execute such testing prior to the integration of microprocessors to the Printed Circuit Boards (PCBs). Testing the transistors and integrated circuits inside a microprocessor should consider their interconnection and logic gate functions.
Post integrating the components to the PCB, the QA team uses common defects of an assembly model and identifies the wrong component, open interconnect, and missing component. Moreover, any modern test equipment allows direct measurement of device components in small units. However, care must be taken to ensure these components within the PCB should not impact the functioning of the whole medical device. Even though functional testing is a crucial part of the testing process, it does not suffice to find other manufacturing defects. This necessitates additional troubleshooting.

Test automation: This process is conducted by using an electronic system comprising instruments, a computer, and software. While testing high-tech medical devices with varying current and voltage requirements, the test team might grapple with generating test cases and measuring their accuracy.

Interoperability: Testing medical devices should invariably check for the interoperability of devices and applications to uphold data privacy and security. The tests should be recorded for the purpose of audit and compliance. With innovations involving the Internet of Things, there is a need for the applications, devices, and controls to integrate with the software at the core.

Security: In today’s challenging digital scenario there is an urgent need to make the embedded software within medical devices hack-proof. These include adopting measures like firewall testing, encrypting the user data, and the authentication and validation of user log-ins, among others. The security testing of devices should aim at protecting the health information of patients and ensure they adhere to the provisions of the Health Insurance Portability and Accountability Act.
In addition to the above types of testing, medical devices should be tested for regulations and compliance, especially as per FDA. Finally, the practical approach to testing medical devices should include GUI testing, performance testing, non-GUI testing, compliance testing, interoperability testing, behavior testing, reliability testing, and user acceptance testing.


Conclusion

A robust approach to testing medical devices is critical to ensure their effectiveness. It can help manufacturers from preempting situations like device recall and save money in retesting devices should glitches be found. In an industry that requires stringent adherence to quality, manufacturers should engage organizations with domain knowledge and experience.


Author Bio
Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.


This article is originally published on medium.com

Tuesday, 19 November 2019

What is the difference between load, stress, and performance testing?



Software testing is an essential part of the SDLC involving software development and deployment as well. The reason for testing software is to ensure it operates as per the required parameters and is shorn of any bug, which could otherwise impact its functioning. Moreover, any comprehensive testing of the software ensures the end-user is fully satisfied with its performance. It also allows testers to accurately check the performance of the software and find its optimum performance range. Broadly speaking, there are mainly three types of performance checks that testers can use on any software, namely, load testing, stress testing, and performance testing.

Load testing: This type of testing is done to figure out the number of users a software system can handle effortlessly. Here, various components of the software system are checked individually to find their performance in different scenarios. For example, you can put loads of users or products to check the performance of the homepage or checkout page of an e-commerce portal. There are many automated tools available in the market like WAPT or LoadRunner to execute application load testing.

The main goal of load testing is to find out the largest job a software system can handle. During load testing, various attributes such as server throughput, the highest performance level, response time under different loads, the number of users the application can handle, the adequacy of the H/W environment, and so on are tested.

The testers use this type of testing to figure out load balancing problems, bandwidth issues, memory leaks, memory management, and the upper limit of all the components of an application. One example of load testing is checking the mail server of a system that has a huge number of concurrent users. This type of testing tells about the number of concurrent users the software can support and whether there is any need to scale the software to ensure its accessibility without adversely affecting its performance.

Stress testing: Stress testing allows testers to ascertain the stability as well as the robustness of the system. It is primarily non-functional testing that uses auto-generated models to simulate various hypothetical situations.

The main goal of this testing is to find out how the system will behave when it faces extreme loads and how to recover should there be any failure. The QA experts use this test to ensure the server does not crash if the system is subjected to a sudden high load. At the same time, it maintains the stability of the system and optimizes its response time.

In stress testing, the quantum of load is put above the threshold of a breakpoint. One example of stress testing is to shut down a system and then restart the ports of a larger network to find out whether the system has saved the data before crashing.  

Performance Testing: Performance testing figures out the speed of the computer as well as the network on which the software or an application will run.

This type of testing is done mainly to validate the performance of all the components of a system. Here, the software is put under different load scenarios and checked for the performance of its components for different parameters. This testing is very important as it sets the performance benchmark for any software. Moreover, here, the features of a software like resource usage and reliability are checked.

Unlike in load and stress testing, the load limit in performance testing is kept below as well as above the breakpoint. This is done to find out the range within which the software can perform optimally.
Performance application testing can be executed by checking the HTTP connections, the suitable response time, and so on. It validates the optimum performance of an application and checks whether it conforms to the performance needs of the business. It also allows testers to find any performance issues, so that they (along with the developers) can analyse them thoroughly and find an appropriate solution. It also validates whether the hardware of the system is adequate to handle the high load.

Conclusion: The testing of software prior to its deployment in the market is essential to ensure it performs flawlessly even when subjected to severe loads. In a dynamically changing market with shifting customer preferences, performance, load, and stress testing have become important to validate the robustness and consistency of software.

Author Bio:
Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.

This article is been originally published on medium.com.

Thursday, 7 November 2019

Does Selenium remain the king of Test Automation tools?



As Agile and DevOps methodologies lead the way for enterprises to churn out quality software applications in double-quick time, test automation turns out to be an enabler of sorts. In fact, it has become a means to address challenges attributable to manual testing. However, in doing so, the development and QA teams utilize test automation tools that can be either open-source or licensed. These tools help enterprises to deliver software applications that have higher accuracy and require shorter turnaround time.

With open-source platforms leading the way in the implementation of Agile and DevOps methodologies, let us find out if Selenium, which was the king of automation tools, continues to retain its numero-uno position among the automation tools. In fact, it has been observed that developers and testers are increasingly leveraging Selenium test automation procedure to meet their objectives. The tool offers benefits such as cost-effectiveness, speed, compatibility, and ease of integration, among others. However, today, when the test automation market has seen the presence of new tools, how does Selenium compete now? Where does it stand today is the moot question?

What is Selenium?

Developed by Jason Huggins, Selenium is an open-source test automation tool mainly created to test the Agile and DevOps workflows and web browsers. It comprises a suite of tools catering to the various needs of enterprises. The four such tools are Selenium RC, Selenium Integrated Development Environment (IDE), Selenium Grid, and Selenium WebDriver. At present, Selenium Grid and WebDriver have been merged into one. 
  • Selenium IDE: Helps to record, playback, debug, and edit test scripts during Selenium automated testing.
  • Selenium Grid: Facilitates the distribution of tests across browsers and devices, thereby minimizing the test execution period.
  • Selenium Remote Control: Used to run tests on different browsers and systems.
  • Selenium WebDriver: The latest version of Selenium possesses a number of Selenium APIs.

Is Selenium still the king?

In the world of software testing where companies are looking at implementing test automation at cost-effective rates, the open-source platform of Selenium backed by a community of developers offers the required benefits. In fact, Selenium test automation is implemented by top companies belonging to domains such as IT, healthcare, financial services, education, computer hardware, and others. The tool, especially Selenium 2 or Selenium WebDriver, covers a global market share of 30.84% leaving behind competitors such as Unified Functional Testing, Apache JMeter, Quality Centre, and others.

If we consider Selenium, the test automation tool per se, it enjoys a dominant market share of 27.4%, which is by far the highest among other solutions in the field. So, when leading companies such as Google and Facebook use Selenium, does it really require validation? Its ease in generating test scripts, validation of functionality, and the reusability of the test scripts in automated testing frameworks make it highly popular among the community of testers.

Why is Selenium automation testing popular?

The features of Selenium make the tool deliver quality assured test outcomes. The reasons why enterprises are adopting the Selenium test automation framework in increasing numbers are as follows:

  • Support for language and framework: The tool supports major languages such as Java, JavaScript, Python, C#, Perl, and Ruby to write test scripts. The QA specialists can write test automation scripts in any of the programming languages and the tool converts them into Selenium compatible codes. Moreover, the tool offers support for various frameworks like PHPUnit, TestNg, and JUnit etc., to facilitate the writing of test scripts.
  • Browser compatibility: Selenium offers cross-browser support for Chrome, IE, Firefox, Safari, and others. This helps QA specialists to test whether the codes can run across the above-mentioned browsers seamlessly.
  • Easy to handle: Selenium has an easy to understand UI that lets testers to type words into specified boxes or click buttons while executing Selenium automation testing. Also, the testers do not need to be well-versed with any specific programming language to use the tools.
  • Community support: Even though Selenium is an open-source tool, it has a large community base that works towards updating or upgrading the tool constantly. Thus, Selenium can be a highly resourceful tool.
  • OS compatibility: Selenium is highly portable and supports different operating systems such as Linux, Windows, Mac OS, and others. The testers can write Selenium test automation scripts on any OS platform and execute them on others.
  • Easy integrations and reusability: Selenium automated testing scripts can be reused and tested on multiple browsers and operating systems. However, it requires integration with add-ons and third-party frameworks to broaden the test coverage area. For example, testers need to integrate it with JUnit and TestNG to generate reports, with LambdaTest to conduct cloud grid testing, and with Sikuli to perform image-based testing.
  • Almost free: Today when businesses are looking to cut costs to stay competitive, Selenium comes across as a cost-effective test automation platform. It can be downloaded free of cost and applied to test codes that are written in any programming language across multiple browsers and OS platforms.

Conclusion

Even though Selenium may have its can of woes, such as not supporting data-driven tests with manual scripts, among others, its benefits far outweigh the limited shortcomings. With customer experience becoming the sole differentiator for the success of any software application, developers and testers have their task cut out. They need to employ the open-source Selenium test automation tool to achieve business objectives, thereby conferring Selenium as the ‘king of test automation tools.




Author Bio

Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.

Friday, 25 October 2019

Why is application security testing so important?




Why has application security testing become an important requirement in the Software Development Life Cycle?  Why can’t enterprises just deal with any cybersecurity related issue as and when it occurs rather than creating an entire architecture to address it beforehand? Notwithstanding the raised eyebrows of the security conscious readers to such a suggestion, it is the path that many enterprises are continuing to pursue till date. In their quest to release a greater number of applications into the market, enterprises often skirt the demand to conduct rigorous web application security testing and end up with adverse consequences – both for them and their end customers.

Today, when millions of applications have become a part of the global digital ecosystem and accessed by customers using myriad devices and operating environments, the scope of security breaches has increased manifold. Moreover, since most of these applications are developed by using open-source coding, the associated vulnerabilities and risks have increased to unprecedented levels as well. A recent report’s finding that by 2021, the global cost attributed to cybercrime is likely to be around $6 trillion gives an insight into the lurking cybersecurity risks with such apps. Such humongous figures have the potential to wipe out the bottom lines of companies, entities, and individuals alike. To tackle the menace, there needs to be a fundamental change in the approach to application security testing – from the present testing the functionality and performance of apps in most cases. The time has come for enterprises to move a step ahead in incorporating the DevSecOps model. When the stakes are so high, enterprises cannot be smug with their application security testing methodology but extend it to the entire SDLC and beyond.

Risks associated with lack of cybersecurity measures
Today’s customers are having access to a range of applications to execute activities like buying groceries and clothing from eCommerce stores, buying tickets for planes/trains/planes, booking hotels or movie tickets, paying utility bills, and many more. Since they download these apps from app stores on major operating systems such as Android, iOS, or Windows by paying scant regard to the security considerations, enterprises building these apps have to pull up their socks and walk the talk. If not, the risks can be heavy, as listed below.
  • Lawsuits: The growing vulnerabilities of applications owing to their touchpoints across browsers, operating systems, devices, cloud servers, and networks, can be exploited by cybercriminals to steal data and information. Since most of these applications store personal and confidential information of customers, any data breach could land everyone into serious trouble. Consequently, lawsuits can be filed by the end customers or clients making businesses liable to pay hefty compensation.
  • Hit on brand image: No one would like to use an app built by a company that has been in the news for the wrong reasons. Although being in the news is exciting for businesses as it gives them free publicity, being there for a negative context can force them to run aground. So, the choice is simple – push the envelope on adopting software application security testing and enhance the trust level with the end customers.
  • Fall foul of regulatory agencies: The onslaught of cybercrime has forced the global IT ecosystem to set up security protocols and regulatory agencies to monitor the same. Laws like GDPR or SOX, among others, have made companies to sit up and be compliant or face consequences in terms of censure and hefty fines. Today, should enterprises overlook the mandate for mobile application security testing, they can fall foul of these laws or agencies and suffer consequences.


Benefits for implementing application security testing
If the cost of implementing software application security testing is juxtaposed against potential losses that enterprises can suffer in the event of any security breach, the benefits do outweigh the cost. 
  • Pre-empt risks and vulnerabilities: Embracing web application security testing as part of the SDLC can help enterprises to identify the hidden vulnerabilities in the codes. Thereafter, when the vulnerabilities are plugged, the chances of data breaches or the ingress of malware are reduced significantly.
  • Market reputation: In a day and age when issues related to cybersecurity have received increased traction from tech-savvy customers, enterprises following industry best practices related to cybersecurity can create a better market reputation and trust for their applications.


Conclusion
Mobile application security testing helps in upholding the confidentiality, integrity, and availability of data in today’s Agile and DevOps driven software development methodologies. In a world increasingly driven by digital technology, QA with security at its core is needed to be implemented to pre-empt the concerns related to cybercrime.



Author Bio
Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.





Tuesday, 22 October 2019

Challenges and best practices while approaching DevOps




With quality-driven customer satisfaction becoming the key differentiator for businesses, the role of QA has undergone a transformation. If earlier, software testing was an adjunct to the development process, it has become a shared responsibility involving every department and process within an organization today. The QA process has transitioned from being an afterthought in traditional waterfall to being mandatory with Agile and DevOps testing. This has come about in response to the compatibility challenges software applications face when accessed through various devices, platforms, and operating environments.

Furthermore, with growing security implications for applications while they are being increasingly embraced by users, quality testing is no longer a one-time activity but a continuous process. This is where DevOps has emerged as the go-to methodology for businesses to deliver quality products and services swiftly and continually. DevOps, with its four pillars of culture, collaboration, tools, and practices, enables businesses to deliver outcomes such as better-quality products, faster software releases, quick response to feedback, improved productivity, cost savings, and increased ROI. 
Even though most businesses understand the utility of implementing DevOps, the challenges come in its implementation. The challenges relate to tackling issues that seem to differ from one domain/department/process/tool to another across organizations. Let us delve into the challenges that DevOps implementation entails.



Challenges in implementing DevOps

DevOps has the potential to garner positive outcomes for businesses, but the many challenges associated with its implementation can often play spoilsport. The following challenges cannot be glossed over.

  • Legacy systems and applications: While businesses focus on developing new systems with DevOps, they should also work towards transitioning the legacy systems to the new DevOps led regime. The transition of legacy apps or systems to a DevOps ecosystem, one can be done by creating a new system that not only maintains the legacy apps but ensures noninterference with the transition. Post-implementation of DevOps, the legacy applications should be phased out gradually.


  • Integration of tools across domains: DevOps testing services require integration of various tools across departments and processes to ensure they work in tandem. This is necessary to make the process of development, testing, and deployment seamless and capable of delivering customer satisfaction. Moreover, since the development and operations teams work on separate metrics and toolkits, harmonizing them can be a challenge.


  • Culture: Since the development, testing, and operations teams follow different work cultures, bridging them and bringing them on a level playing field can be challenging. To address the situation, DevOps specialists should be created across departments and processes who can build a collaborative environment. The focus should shift from individual, silo-based teams to inter-departmental coordination.


  • Choosing the right projects: The DevOps specialists should not look to apply DevOps to every project. This is due to the fact that DevOps happens to be an operational strategy that does not necessarily be a perfect fit everywhere. However, should you want to scale your software application to garner deliverables, then DevOps can be adopted as a suitable model. The above-mentioned challenges pertaining to the implementation of DevOps (and allied models like DevOps test automation, DevOps software testing, and others) can be addressed by following the best practices.

Best practices in implementing DevOps quality assurance

To ensure the success of DevOps and allied services, businesses should incorporate the best practices listed below.


  • Learn about your business needs: Ensure that DevOps implementation is aligned to your business goals. Prior to creating the IT infrastructure, understand the application and design the infrastructure in accordance with your goals.


  • Ensure continuous integration and deployment: Implementing DevOps testing can only make sense if your organization is able to deliver software frequently without any issues. This requires the incorporation of DevOps test automation throughout the build, testing, and deployment stages.


  • Implement test automation and data provisioning: Since DevOps is about building, testing, and delivering quality software quickly and continuously, implementing test automation becomes the key. The process of DevOps software testing would entail placing the code in a sandbox and running thousands of tests by assigning relevant test data.

Conclusion

In a fast-moving, dynamically-changing business landscape, enterprises should be prepared to stay ahead of the competition curve. To achieve the objective, they must embrace DevOps by exploring the benefits of different tools, monitoring the performance of legacy and DevOps systems, among others.



Author Bio

Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5

This article is already been published on dev.to.






Friday, 18 October 2019

Quality Engineering has DevOps and Agile in driving seat



As opposed to the traditional software development lifecycle aka waterfall, today’s Agile and DevOps based software development process is more outcome-oriented. The unrelenting pace of the changing market landscape has made the hybrid, Agile+DevOps way of software development absolutely critical in addressing customer demands and staying competitive. The focus on Agile & DevOps is necessary due to the high failure rates of traditional software development methodologies. These failure rates are mainly attributed to the glitch-infested low-quality applications churned out by following legacy methodologies.
The failure rates had left many companies to bite the dust and brought the key role played by ‘quality’ in ensuring customer satisfaction and ROI for the business into sharp focus. Also, the IT landscape is witnessing developments like mergers and acquisitions, increased focus on risk and compliance, data and analytics, the fast rollout of apps, and mobile commerce, among others. These have necessitated the software development process to become increasingly agile, streamlined, collaborative, and flexible. The reshaping of customer expectations is letting organizations to go beyond shift-left testing or DevOps testing by transforming the QA process into one that is driven by quality engineering.

What is quality engineering?
To meet the growing demand for quality software applications in double quick time, a mere tweaking of the software development process is not enough. What is needed is the adoption of software quality engineering process comprising optimal quality assurance, predictive analytics, and monitoring of QA elements to reduce glitches to negligible levels. The process would involve a continuous cycle of feedback and quality improvement based on the same. The quality engineering process offers maximum test coverage in the shift-left scheme of things and ensures outcomes like functionality, security, accessibility, usability, performance, and reliability of the software application. It complements Agile and DevOps methodologies and ensures their outcomes to remain consistent with the desired business objectives. Quality engineering, instead of identifying the inherent glitches in the SDLC, focuses more on preventing them altogether.

Shift left and strengthen right
Quality engineering services cover the entire spectrum of the SDLC thereby yielding the maximum test coverage and delivering the best quality product. With DevOps testing shifting left, the quality determinants are incorporated right into the product build during the development phase. At the same time, DevOps-based QA focuses on the shift-right approach to ensure the last stage of the SDLC i.e., delivery goes on unhindered and customer feedback is taken in right way and worked upon. The ultimate aim of both shift-left and right is to create and deliver a glitch-free product that meets the requirements of the end users. Here, since end-users are the ones who ultimately assess quality of a software product based on parameters like usability, functionality, and performance, among others, the feedback mechanism should be responsive enough to understand the issues faced by the end-users and remedy them at the earliest.

Quality engineering as an aid
Quality engineering (QE) helps to bridge the gap between development and deployment processes, which can arise due to the lack of agility. It harps on the successful strategy of ‘test early, test often’, to pre-empt challenges that businesses face when testing a software product. Quality engineering ensures the quality of a software application throughout the SDLC - right from the designing stage to its final delivery. QE can be incorporated into the development process by using methods such as Behaviour-Driven Development (BDD), Test-Driven Development (TDD), and Acceptance Test-Driven Development (ATDD) respectively. Let us find out what these methods are all about.
Behaviour-Driven Development (BDD): In this software development method, the behaviour of both the software and business outcomes are taken into consideration. Here, the right sets of tests are automated leading to an increased collaboration among developers, testers, and other business stakeholders.
Test-Driven Development (TDD): In this software development process, the QA team writes unit level tests before the development stage. This results in getting an early feedback and helps the development team to refactor its requisites.
Acceptance Test-Driven Development (ATDD): This software development process focuses on writing an acceptance test even before the development phase. This helps the software to meet the acceptance criteria beforehand.

Quality engineering and DevOps
QE, being an end-to-end testing methodology, can offer optimum solutions to businesses struggling with their legacy IT infrastructure. The solutions in terms of continuous testing and integration as mandated by DevOps, can be arrived at by integrating the QA process with the DevOps pipeline. This results in executing processes like build, test, deploy, and deliver in a seamless manner. QE complements DevOps and Agile by detecting glitches right at the beginning of the development process. Moreover, QE’s focus on end-to-end testing helps the product to be developed and tested simultaneously. This approach adds teeth to the DevOps’s requirement for CI (Continuous Integration) and CD (Continuous Delivery). No wonder, the successful implementation of quality engineering is underpinned on fulfilling the requirements of DevOps and Agile. It further consolidates the benefits achieved from implementing DevOps testing services and Agile testing services.
QE riding on DevOps and Agile can help businesses to scale up their operations without investing much resources and time. By implementing DevOps test automation and Agile test automation using test automation software like Selenium, Robitium etc., businesses can boost their SDLC. QE can help businesses to develop and deploy glitch-free software speedily and deliver enhanced customer experience.

Conclusion
The fast-changing competitive business landscape of today requires organizations to streamline their operations, increase productivity, and fast forward the delivery of glitch-free software applications. To achieve these objectives, they need to make quality engineering as part of their development and testing cycles. However, QE ends up complementing the Agile and DevOps approach by achieving outcomes such as Continuous Delivery and Continuous Integration. Furthermore, it leads businesses to get high ROI, better productivity, reduced cost of operations, and enhanced customer experience.

Author Bio
Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.

This article is already published in devops.com

Thursday, 17 October 2019

What are the top test automation tools of the decade?



With quality becoming the cornerstone for businesses to succeed in the competitive IT landscape, technologies and paradigms like Agile and DevOps have taken centre stage. Since test automation is an important facet of these developments, businesses need to adopt the right test automation tools to deliver outcomes like customer satisfaction, continuous integration, and delivery, improved productivity, ‘quality at speed’, cost-effectiveness, and ROI. Test automation today encompasses the usage of Artificial Intelligence and Machine Learning to optimize testing and generate a robust reporting mechanism, among others. Since test automation services make use of advanced tools to identify and remove glitches in the SDLC, it is better to analyze them and understand how they have shaped ‘testing’ in the past decade.

The use of test automation tools in consonance with smart analytics helps in quickening the decision-making process and validating the codes. This has been necessitated due to the preponderance of smart devices and integrated apps. So, let us learn about the top software test automation tools that can help businesses in positioning themselves with the latest trends in software testing. However, before analyzing the tools, let us first understand their benefits.
·         Diagnose and fix glitches quickly before they can impact the UX
·         Prevent bad software releases with automated regression tests
·         Less time spent on maintaining tests as the latter get repaired automatically with every UI change

Top test automation tools of the decade
The decade has seen the advent and evolution of the automation testing approach as an important factor in redefining QA. The various tools help businesses in achieving the objectives of their test automation strategy.

1. Selenium: Selenium is the most popular open-source automation tool that has become the industry standard when it comes to software test automation of web applications. It offers flexibility with testers writing test scripts in multiple languages like Java, Python, C#, Ruby, PHP, and PERL. These scripts are capable of running on multiple operating systems such as Windows, Mac, and Linux as well as on browsers like Chrome, IE, Safari, Opera, Firefox, and others. The only disadvantage of Selenium is the need for testers to have advanced programming knowledge and building libraries and automation frameworks. One can access this automation tool at http://www.seleniumhq.org.

2. Lambda Test: This cloud-based, cross-browsing testing tool can be used to perform QA across numerous browsers and operating systems in varying screen resolutions. Test automation services can use the Lambda test tool to validate the compatibility of a website across mobile and desktop browsers. The tool can produce faster test screenshots and check responsiveness across devices. One can access the tool at https://www.lambdatest.com/?fp_ref=sumasri92.

3. Katalon Studio: This tool has emerged as one of the popular and effective test automation solutions supporting multiple operating platforms like Windows, Linux, and iOS. With support for Selenium and Appium engines, the tool offers an integrated test environment comprising features to validate API/web services, and web and mobile applications. It has scores of built-in keywords to create test cases and is suitable for exploratory and automated testing. The test capability of the tool can be further enhanced by using plugins on Katalon Store. One can access the tool at http://www.katalon.com.

4. TestComplete: This powerful automation tool has comprehensive features to test web, mobile, and desktop applications. Here, testers can write scripts using programming languages like Python, C++, JavaScript, and VBScript. Its object recognition engine can identify frequently changing user interface elements. Its integration with Jenkins helps to test components like Shadow DOM and other custom elements. Its easy-to-use record and playback feature helps testers to identify glitches on multiple devices and browser platforms. It is a paid tool to be accessed at https://smartbear.com/product/testcomplete/overview.

5. Zephyr: This popular test management tool offers end-to-end automated software testing solutions comprising attributes such as better flexibility, insights, and visibility. Its key features include quick deployment options for cloud, data centre, and server. Besides, it offers advanced analytics, a DevOps-based reporting dashboard, and integration with automation servers like Jenkins, Jira, Confluence, Bamboo, and others.

Conclusion
The decade has seen QA take centre stage in response to growing customer appetite for quality and high-performance software. Even though the above-mentioned list is not exhaustive, it comprises tools that are popular, mature, capable, and feature-rich to deliver DevOps outcomes like Continuous Integration and Delivery, quality at speed, and customer delight.

Author Bio
Oliver has been associated with Cigniti Technologies Ltd as an Associate Manager - Content Marketing, with over 10 years of industry experience as a Content Writer in Software Testing & Quality Assurance industry. Cigniti is a Global Leader in Independent Quality Engineering & Software Testing Services with CMMI-SVC v1.3, Maturity Level 5.