The Direct And Indirect Benefits Of Automated Testing Of Your Applications.

Productivity.

Unsurprisingly, the gain in productivity is the direct benefit of automating your non-regression tests. This allows you to test faster and, therefore, more, and frees your teams from time-consuming and demotivating tasks. 

All the time spent by your teams performing tasks for manual or even “semi-automated” testing is time regained to continue improving the quality of your deliverables, for example, by increasing the inventory of tests. 

Quality Improvement.

You should never lose sight of the objective of non-regression testing: to improve the quality of your deliverables. And automation is a giant step in this direction. First lever on quality: it eliminates “human” errors. Second lever: by testing faster, you test more, and you get a wider test coverage of your application. More “human” errors and wider coverage: direct quality improvement.

Awareness, Service, And Customer Satisfaction.

This is the consequence of points 1. and 2. Increased productivity allows almost continuous improvement of features to meet user demands and help improve the quality of deliverables. 

More features with an almost zero malfunction rate are the Holy Grail to achieve to obtain satisfied, even very satisfied, customers. And when you know that retaining a customer costs ten times less than acquiring a new one, the equation is easy to understand. A loyal customer buys more than the others, becomes an ambassador for your company, and participates in improving your offer… how can you do without it? How not to do everything possible to satisfy him? The essential step which, when we are customers, ask by default: is quality software and service. Nothing is worse than having a new version available, often imposed, which works worse than the previous version. 

Serenity For The Marketing And Development Teams.

The quality of deliverables is often a sticking point between marketing teams and developers. For some, the deadlines are always too long; for others, it is always too short, and when there is a “bug,” it is nobody’s fault. Beyond this caricatural presentation, the relationships between the teams involved in a software testing project are often the key to success. This will be all the more so for the implementation of automated tests. 

Increase In Turnover.

The four previous points necessarily have a positive impact on your company’s turnover: reduction of the costs related to the tests, improvement of the quality of the deliverables, increase of the notoriety of your brand, and reduction of the development costs. On this last point, the cost is rarely estimated following the regressions that arrive in production. This time spent by your teams is the most expensive and always urgent. 

The picture is idyllic; looking at it, there is no reason not to automate your non-regression tests. But make no mistake, test automation is still perceived as a “pain” and a difficult hurdle to overcome. Rare are the companies that industrialize the automation of their non-regression tests. To succeed, you need a team, a testing strategy, and, above all, expertise. And this is one of the major disadvantages of automated testing.

Also Read: How To Kick Your Productivity

The Direct And Indirect Disadvantages Of Automated Testing Of Your Applications.

Complex Implementation (time/delay).

To succeed in automating your non-regression tests, you have to be ready! The challenge is daunting, but the reward is great. If you want to do everything, it will take time, a lot of time, and human resources. 

The project cannot be carried out alone and must result from a common desire to improve the quality of your company’s deliverables. Otherwise, all the obstacles you will have to overcome will slow you down, discourage you and abandon your automation project to return to the imperatives (emergencies) of the moment.

Only Test Some Things.

We must not believe in this illusion of “testing everything.” Manually or automatically, you can only test some things, or the ROI of such an ambition will be catastrophic. On the one hand, certain functions cannot be automated (e.g., facial recognition); on the other hand, automating the interoperability of different software (ERP, Supply Chain, etc.) is tedious.

You will keep a percentage of manual testing to respond to two logics: the possibility of automating and the time required for automation Vs. Manual testing.

Maintenance in Operational Conditions.

More than a drawback, it is the main difficulty once the automation is in place: maintaining the infrastructure and the test assets in-house in operational conditions. These are all hidden costs that must be anticipated to choose the organization that will best suit you, considering the skills within your teams.

With the best industrialization of automated non-regression tests, our experience proves we can reach 80% of our test assets. In your case, it is more or less. Achieving such a score requires a great mastery of the processes and especially reliable partners to rely on the skills of each.

When a company achieves such high automation and success rates, it becomes a leader in its market with faster and more frequent deliverables, with far less regression while having shortened the release or release cycle. And let’s always remember these improvements translate into tangible business results.

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Read on to learn more about why large organizations continue using them.

What Mainframes Are For

The devices are high-end computers. Hundreds and even thousands of users can work on the device simultaneously. They’re used for business data processing, credit card transactions, and air traffic control systems.

Whenever you use an ATM, you access a mainframe. Most businesses use them to process crucial functions on web browsers.

They are still large scale in a world where everything’s gone miniature. They can be expensive to maintain but your larger corporations couldn’t exist without them.

The machine owes its longevity and popularity to its stability and reliability. That’s the result of steady advances made since the very first device, the System/360 in the 1960s.

Unparalleled Functionality

The device has design strengths that make them invaluable to mission-critical applications. Organizations are applying them to financial transactions, customer orders, inventory and production controls, payroll, and many other reasons.

Today’s busiest websites typically store production databases on a host. The latest solutions are capable of managing massive numbers of applications and users.

There’s simultaneous and rapid access to data without processes tripping over each other. This computer offers a critical level of scalability and reliability, creating secure and efficient operations.

Benefits

Large organizations appreciate their mainframes for all the following reasons.

• They perform large-scale processing of transactions, often thousands per second.
• Concurrently accessing resources, these devices support thousands of users and programs.
• They manage terabytes of database information.
• The solutions are capable of large-bandwidth communication.

The devices are also the superhighway to many roads of information.

Serviceability, Reliability, and Availability

Important factors in data processing are reliability, serviceability, and availability. The engineering prioritizes effective systems running constantly.

Security

Accounting data, customer lists, employee information, etc., are a company’s most valuable assets. They are exceptional resources for managing critical data. They extensively share and protect data across multiple uses.

Scalability

Growth in infrastructure is what every organization wants. But they hope to increase their stance with the ability to seamlessly add capacity without a disturbance in operations. And it’s hopefully done with excessive overhead.

Compatibility

Companies have a great investment to safeguard their investment in data and applications. The mainframe’s capability to manage older applications and ones at the same time streamlines function. Working in the system or working with other programs and devices only maximize the solution as an asset.

Traditional Mainframes

The traditional device is still doing the same jobs they have since the 1960s. Almost two-thirds of Fortune 100 companies use mainframes. Mainframes play a significant role at American Emirates Airlines, Nike, Ford Motors, and Bank of America.

The resource is still expensive, bulky, and needs specialized talent to keep it going. But its ROI means it’s a long way from getting replaced by smartwatches or computers. Even with the ever-expanding cloud, no one’s considering getting rid of their mainframes.

Also Read: 4 Ways The Pandemic Has Changed Digital Advertising

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