Introduction

Web and mobile app testing has become a challenge these days which cannot be overlooked. Poor software quality because of poor testing techniques has always been an issue in organizations. Negative QA has a negative impact on the business, ranging from the need to repair the application after it was released to a damaged reputation and decreased consumer loyalty. Businesses must act quickly to meet new business requirements in this constantly evolving environment. Implementing a robust continuous testing strategy, continuous integration tools, and frameworks to provide high-quality testing results is the fastest way to maintain the balance and reduce the cost of weak testing.

Continuous Integration and Testing – An Overview

In modern engineering, continuous integration is a widely used and costly software method. Developers frequently integrate code into a shared repository, where each integration is verified by an automated build and test.

You can discover errors early with Continuous Integration, allowing you to deploy stable builds and reducing bug accumulation. You can reduce the cost of CI computation by using a build selection approach that selectively executes builds with failing outcomes and skips passing builds. Continuous integration goes hand-in-hand with Continuous Delivery to help optimize the development pipeline by identifying and fixing bugs earlier and at a lower cost.

Continuous testing is an integral part of DevOps. By testing often and at every level of the SDLC, continuous testing strives to enhance and accelerate software delivery. It helps improve code quality by testing code on a regular basis using automation. Continuous testing shortens the traditional feedback mechanism and gives instant feedback at each stage of the SDLC, allowing the company to improve the risk areas related to software releases and, as a result, help them build better products. Extreme Programming (XP) necessitates recurrent development, which can lead to problems with regression. As a result, continuous test automation in the cloud should be considered for delivering a high-quality product to customers on a regular basis.

What is the Cost of Quality?

We all know that solving a bug is not free of cost. The entire trail of cost right from the labor, licensing, lab, effort, and deployment to ensure the app quality, can incur thousands of dollars and hours of productivity. Most delays, according to one of the previous Global developer reports, occur during the testing phase, followed by planning and deployment to the production stage. Any testing delays can be costly, and as you get closer to production, testing and correcting defects at later stages will cost more.

A study from Bank of America revealed that,

  • A defect discovered during development is the least expensive because repairing it would take about 5 hours and cost $390.
  • If a bug is discovered during the QA stage, it will cost 30 times more, i.e., 127 hours plus $11.7K, since after the QA reports the bug, it must pass through each hierarchical level before reaching the developer who will fix the bug.
  • If a bug is discovered in production, the cost might rise to $72k owing to triaging, reproducing, resetting the environment, and a developer going back to the beginning to identify the causes, among other things. So, in this process, the business loses time and money.

How to Tackle This?

Testing as close to development as possible and backing it up with a faster and continuous feedback loop are two strategies to keep costs under control. Continuous testing is crucial in achieving this goal. Continuous testing ensures:

  •  Faster builds and tests 
  •  Feedback between the developer and the tester reduces.

Continuous testing ensures a reasonable cost of quality, enhanced agility, and on-time software delivery for businesses. Simply put, the lower the cost of quality, the faster the developers identify and fix the errors.

Conclusion

A majority of businesses are finding it difficult to maintain profit margins during this period of economic uncertainties. As a result, businesses concentrate on reducing overall costs, such as lowering the cost of software development without compromising quality. Selecting the right test automation tool and building only what you need will help you save money. Continuous integration tools, such as Jenkins, speed up the software development by automating the full SDLC, from software development to documentation and deployment. On-time deployment is feasible with smart continuous testing while lowering total production costs and establishing agile systems.

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