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.

Thursday, 10 October 2019

Look out for these Software Quality Assurance trends in 2020

Software Quality Assurance



The IT industry is witnessing rapid changes with new technologies and methodologies playing an important role in developing quality products at faster turnarounds. Software quality assurance has become an integral part of the whole Software Development Life Cycle (SDLC). It involves evaluating the performance of the system components based on a slew of parameters. Furthermore, with Agile and DevOps software development (and testing) methodologies becoming the norm, software quality assurance needs to keep up with the changing times. It needs to ensure the quality of a software application remains top-notch in terms of performance, usability, security, and functionality, among others. Let us discuss the QA software testing trends that are going to dominate in the year 2020.

# Big data testing: Many IT processes belonging to verticals like healthcare, banking, telecom, retail, etc., generate a huge quantum of data at high speeds. These need to be tested for integrity, consistency, and redundancy. Testing of such data is important in terms of evaluating the functionality and performance of applications. Also, since these data are leveraged for decision making, they need to be optimized, segmented and validated. The challenges of big data testing are about the requirement of time and resources. The year 2020 might see the introduction of platforms that can mimic the behavior of various layers of application data.

# DevOps Testing: With requirements like Continuous Delivery and Integration, the DevOps model of software development and testing has been adopted by many organizations. The model calls for an increased synergy between the development and QA teams. Here, any software testing company needs to implement test automation to execute DevOps testing in the development sprint. It helps in the quick development of a glitch-free software that delivers better user experience and improves ROI for the business.

# IoT Testing: The growth in smart devices has been phenomenal and is likely to touch a figure of 20.6 billion by 2020 (Source: Gartner). Since these devices have embedded software applications to perform a slew of activities, these need to be tested thoroughly. The quality assurance software testing services undertaking IoT testing validate the quality of embedded applications on parameters like security, functionality, usability, and trustworthiness. In doing so, they face challenges related to the monitoring of operating systems and communications protocols, and the possible combination of elements that are part of the IoT environment. In 2020, IoT testing might involve the following:
·         Validating the compatibility of devices, their versions, and protocols
·         Monitoring the delay in the connection of elements
·         Safety, security, and scalability of components
·         Data integrity

# Security Testing: Digital transformation encompassing increased connectivity of devices has brought the spectre of security threats. According to statistics, cybercrime is likely to cost the world more than $6 trillion by 2021 (Source: Herjavecgroup.com). Thus, security testing will arguably become the key focus area for any QA testing services company. It will incorporate vulnerability assessment and testing, penetration testing, and chance appraisal to ensure the modules and hubs in an application framework do not get ruptured. Furthermore, the security need will involve actualizing the measure of security layers and the incorporation of DevSecOps in the SDLC. According to the latter, security becomes the shared responsibility of everyone in the organization, notably Development and Operations.

# Testing Centre of Excellence (TCoE): Enterprises have been looking at establishing TCoEs to develop standard protocols, formats, frameworks, and tools for testing. The growing need for quality applications with faster turnarounds has necessitated the setting up of TCoEs.

# Performance Engineering: As opposed to merely testing the performance of a product and its components, the trend now is to focus on parameters such as customer value, throughput, memory usage, latency, quality of configuration, the practicality of usage, and convenience, among others.

# AI Testing: AI and ML have slowly made their way into the IT infrastructure of today and are going to consolidate their presence even further. In 2020 and beyond, AI and ML will be utilized in testing to attain objectives such as:
·         Predicting test configurations based on the previous checks
·         Identifying checks to be executed automatically
·         Identifying high-risk areas in applications to prioritize regression tests
Conclusion
The changing dynamics of business and shifting customer preferences have necessitated software testing to change as well. With manual testing increasingly giving way to automated testing, the year 2020 will witness a hybrid of these two types of testing. Furthermore, the year 2020 and beyond will have an increased role of the QA department and companies that do not include QA in their scheme of things are going to falter big time.
This article is originally published on Toolbox, Look Out for These Software Quality Assurance Trends in 2020.

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.