Showing posts with label quality assurance. Show all posts
Showing posts with label quality assurance. Show all posts

Thursday, 9 April 2020

How to accelerate your release cycles with Agile Testing



Agile testing needs to be aligned as per the business objectives of enterprises for accelerating the software release cycles. The processes to achieve the same include proper planning, meeting expectations, and testing early and frequently.

Staying competitive in today’s world of business requires consistent delivery of customer satisfaction through your products or services. If quality has emerged as a differentiator for enterprises to expand their customer base, enabling faster release cycles arguably comes next. With the traditional Software Development Life Cycle (SDLC) encompassing the waterfall method of testing, achieving quality and faster time to market has become difficult. This brings Agile testing into the equation where development and testing take place simultaneously instead of operating in their respective siloes.

How agile testing approach can accelerate the software release cycle

In the Agile form of software development life cycle of iterative development procedure, the requirements generate mainly from the end-customers and testing teams. The Agile software testing methodology is aligned to the customer requirements. The Agile application testing aims at delivering a product free of glitches and quickly to the market.

Further, agile testing services do not consider testing as a separate process but an integral part of the development cycle. Here, developers and testers work in cohesion as a single entity called sprint. These services are distinct from traditional testing comprising logging glitches, checking metrics, and writing detailed test cases. In agile methodology, instead of testing the code post development, it is done early and frequently. In fact, the testing team is engaged with testing and integration of sub-systems and features. It is observed that Agile practices do not always generate the likely outcomes enterprises set out to achieve. It is due to the fact that enterprises often embrace agile practices without adapting them to their IT environments, workflows, culture, or architecture. This means enterprises, while adopting agile, should be guided by their goals. Among the goals, the feedback loop needs to be shortened to fix the glitches quickly.

The agile methodology aims at delivering quality software at frequent intervals, speedily and consistently. This calls for better collaboration, flexibility, and transparency among the development and testing teams. The agile testing experts should ensure quality becomes everyone’s responsibility (both developers and testers). To reach the goal of identifying (and redressing) glitches early, testing should be conducted early and often in the SDLC.

However, since the process needs to be speedy and efficient, test automation becomes the key. It ensures copious lines of codes and variables are checked for glitches and integration against expected outcomes. Test automation prevents the code from showing unexpected results, defects, regressions, and cost escalation due to refactoring later. The metrics tell the detailed scope of testing comprising code coverage, the percentage of test automation coverage area, and the impact of glitches on the end-users. Switching between the old and new codes using toggles must be coupled with forward and backward compatibility. This is to ensure the code is not broken while enabling new functionalities. The entire process requires thorough architecture planning and deep knowledge of the code base.

A Microservices architecture entails breaking up the code into smaller units and assigning them to different teams. The final application can be built using any combination of the microservices provided the interfaces are properly defined and maintained. Since the microservices architecture requires less maintenance, it helps to improve the consistency and speed of software delivery.

How did we increase testing efficiency for a global technology enterprise?


A leading multi-national IT corporation reached out to us regarding severe testing inefficiencies in their Agile cycles. They were facing a serious crunch of the required skillset and were somehow managing with a limited pool of resources. Their business deliverables demanded highest quality in a rapidly changing Agile environment, which was rendered with inconsistent processes across the scrums. They had parallel scrum teams developed at multiple locations, which resulted in challenges in achieving test coverage and agility in communication with virtual teams.

The Agile mess that they had was screaming the sorry state of their Agile testing plan. Evidently, they needed a solid testing strategy to be designed, executed, and integrated with their Agile methodology.

We set up test environments at the developer’s locations to be virtually accessible to our off-shore testing team for revalidation in critical situations. A Quality Control dashboard was developed and maintained with interface to exchange server. The dashboard increased the scrum-level transparency and offered better control. We designed end-to-end processes and defined entry and exit criteria for all stages.

Adopting best practices across scrum teams helped achieve consistency across the parallel testing processes and cycles. A well-defined regression, mini regression, and automation coverage was achieved with the help of our solid test strategy supported by maintainable supporting artifacts. By leveraging automation techniques to cover at code level and capturing key inputs for high volumes of data for dozens of sites, we assisted with better planning. We established a disciplined communication model which ensured a seamless transition of tasks between scrum master and scrum leads.



Conclusion

To accelerate your software release cycles with the agile testing strategy, the entire process needs to move to a CI/CD pipeline. Implementing agile is similar to any change process involving challenges, bottlenecks, as well as, opportunities. If enterprises are sure about their objectives and the way to achieve them, the challenges would become opportunities for learning.

The definition of agile can mean different things to different people. However, it needs to be implemented as per the requirements and working pace of organizations. In pursuance of agile, there can be challenges in terms of aligning people and processes. In case of failures, it is worthwhile to remember that agile can engender failures but the same should be an opportunity to learn. Failures are acceptable provided the process of deployment is iterative and continuous.

Wednesday, 18 December 2019

How businesses can achieve ultimate success with a QA culture



Competition forces businesses or technicians to come up with things (read innovations) that they would not do otherwise. In the rat race where businesses are delivering products or services at the drop of a hat, not everything is lapped up by the end customers. At the end of the day, it is quality that plays an all-important role in making an enterprise successful. This is due to the fact that customers of the day are choosy, smart, knowledgeable, and won’t settle for anything less.

In fact, they choose products that meet the highest standards of security, usability, functionality, and performance, among other parameters. However, there can be issues galore when it comes to ensuring the quality of a product or service. To begin with, each product should work seamlessly across devices, operating systems, browsers, frameworks, and networks. This is easier said than done as ensuring that would mean subjecting the product to a rigorous quality assurance exercise.

Why software quality assurance?

Today, good customer experience has become a differentiator for the success of a product or service in the market. This can only come about when end-customers evaluate and accept that product or service based on various quality parameters. However, meeting such quality parameters in the SDLC consistently would require the product to be tested across devices, operating environments, and networks.

In the event of such parameters not meeting the desired standards, the consequences can be immense, both for the customers and businesses. The presence of bugs in a finished product can mar the quality of service. For example, it can allow vulnerabilities to creep in and let hackers steal sensitive personal or business information. Today, when software applications carry sensitive financial and personal information, the presence of glitches can render them vulnerable.

Since the traditional waterfall model has proved to be ineffective in measuring up to the quality standards of today’s products, methodologies like Agile and DevOps have come into play. If earlier, QA testing services used to follow development and integration, today these have become concurrent with them. The focus is on executing QA software testing alongside development to save cost and time. To make DevOps successful, businesses need to develop a QA culture where everyone is an equal stakeholder.

How to enable a robust QA culture?

Building a robust culture of quality assurance in the organization is not easy as it requires establishing a seamless coordination between silo-based departments and processes. The best way to go about the same is discussed below.

Engaging everyone in the process: For start-ups and small businesses, meeting the quality standards with their products need greater involvement of all the stakeholders. In fact, everyone involved with software development (and testing) viz., developers, managers, business analysts, and testers should be a part of the QA process. Except for developers, people can evaluate the functionality of a product and give feedback. The same can then be worked upon by developers to fix glitches, thereby offering a positive experience to the users. This shall make the QA process more efficient and help deliver quality products & services.

Follow Agile methodology: The process shall lead to better communication and collaboration between departments. Also, test management can implement better test automation tools to identify and fix bugs quickly and effectively. The use of QA automation tools can eliminate running of repetitive test cases. Thus, the QA team can focus its time in executing exploratory testing.

How a QA culture can help?
An all-encompassing QA culture can help enterprises to achieve success. They can do so in the following ways.

Better customer experience: A glitch-free application is a result of executing quality assurance and testing thoroughly. The final validation of features and functionalities against expected outcomes allows the application to work seamlessly across environments and customers to enjoy the best experience.

Faster time to market: When quality assurance and testing takes place alongside development following the Agile and DevOps methodologies, glitches are identified and remedied fast in the SDLC. As the workflow gets streamlined, the delivery of the product becomes faster.

Better security: The rising incidences of cybercrime have brought into sharp focus the importance of strengthening the security features of software applications. This can only happen when total quality culture pervades across the organization with every stakeholder being aware of upholding the security protocols, regulations, and standards. This can help to reduce security vulnerabilities and prevent applications from being hacked.


Conclusion

The changing market dynamics and the advent of new technologies have brought the aspect of ‘quality’ into sharp focus. It has not remained the preserve of a single department but a shared responsibility of all concerned. If only a total quality culture prevails in an organization, achieving success can only be a matter of time.

Monday, 14 October 2019

How a customer sentiment analyzer can help deliver better experiences




People take purchase decisions based on their perception about a product, service, individual, or entity irrespective of its source, validity, and authenticity. Perception is often born out of a sentiment and can have consequences on a product’s or brand’s credibility and reputation. Thanks to this predominant attribute that drives customer behavior, even a superior quality product can bite the dust in the sweepstakes of business. Moreover, in today’s omnichannel business landscape, sentiment-driven brand perception plays a significant role in achieving business objectives.

Since customer sentiment can either make a product or service acceptable or disowned by its end-users, analyzing the same can accrue key insights for the marketers and help them deliver positive outcomes. Customer sentiment analysis can be made a part of quality assurance process wherein automated tools are used to mine emotions from the text and other channels.

What is customer sentiment analysis?

Sentiment analysis is a process in which opinions of the end-users of a brand, business, product, or service are mined to obtain business-critical feedback. Here, the emotions and attitudes of the end-users are analyzed through their conversations, voice inflections, and language. It is a highly useful tool that can be used in numerous areas, such as on social media platforms to understand customer sentiments on a product campaign.

How does customer sentiment analysis work?

Driven by an algorithm, customer sentiment analysis or customer experience testing strategy measures factors like the level of stress in the voice of a customer and his or her rate of speech to determine his or her sentiment, attitude, and opinion about a product, brand, service, topic, organization, event or individual. It can be used to refine processes and deliver better personalized experiences across channels leading to loyalty, retention, and new customer acquisition.

How customer sentiment analysis can address the customer needs

Testing customer experience is important to enhance the quality of a product or service according to the actual needs of the customer. In today’s competitive business environment where customer experience has become the ultimate determining factor to make a product or service successful, customer sentiment analysis as part of quality assurance cannot be overlooked. The benefits derived from this exercise are as follows:

# Provides customer insight: Businesses need to study the customer experiences to know how their products or services fare in the market. They can do so by employing tools for CX testing and gain insights into what customers think about their products or services. If the sentiments are negative, businesses can identify the reasons or factors behind them and work towards mitigating them. The knowledge of customer sentiments can help businesses to add new features and/or functionalities to their products or services and curate better plans to conduct future campaigns.

# Offers proactive business solutions: Customer sentiment analysis as a part of quality assurance and testing can help businesses to make informed decisions, draw better strategies, and set up realistic targets. Specific tools can offer proactive business solutions in the form of automatic reports, event analysis, etc. These can help businesses to understand the emotions behind positive, negative, or neutral opinions about specific products or services. Furthermore, it can help marketers to evaluate the impact of launch campaigns on customers and identify the specific demographic segment(s) where the interest or awareness about the product or service is the highest.

# Measures the success of any marketing campaign: The measure of any marketing campaign is not limited to the number of likes, followers, or comments alone. It also encompasses the number of discussions (positive or otherwise) elicited by customers about the brand, product, or service. By combining the numerical and non-numerical data generated through customer sentiment analysis, businesses can measure the ROI of their marketing campaign.

# Eliminates gaps in customer experience: Customer sentiments need to be measured holistically and not pigeonholed into multichannel like phone, email, chatbot, social media, etc. In other words, data for customer experience need to be collected holistically for the entire customer journey - initial awareness to repeat purchases. This will help to analyze the data more accurately and aid businesses to remove the gaps in customer experience.

Conclusion

Software quality assurance is not only about enhancing the quality of a product or service during the SDLC. It is also about obtaining data on customer experience by using specific tools for customer sentiment analysis. By determining the customer sentiment about a brand, product or service, businesses can improve their processes, delivery mechanism, not to speak of the quality of products or services. Although it is still an emerging area, businesses should utilize it to know more about their customers and to derive better success with their deliverables.


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.