Is Quality With Speed Really Possible in Software Testing?
This article discusses the need of the development of quality software that works fast. The article poses AI as a viable solution.
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Living in competitive times, it is very important for the applications to be as sophisticated and accurate as can be. There is no margin for any sort of gaps. While it is an established fact, one of the major concerns of developers is the quality of the software delivered in minimum time, at the lowest costs, and with maximum accuracy. There is an ideal case scenario. While it may seem something too good to be true, the development of such software is not just the dream, it is the need.
Moving Intelligently in Competitive Times
In the agile times of software development and testing, it is one of the determinants for survival to meet the time goals, while maintaining the quality and keeping the cost at the lower side. For many enterprises, it is difficult to do. Because they had their unit codes developed before the software testing tools went viral, the codes they developed were not tested in the initial phase, and the greater the size, the greater the damage! So, when contesting between quality and speed, the foremost thing to do would be to test the unit code as it is built, so that the bugs and defects are caught and managed in the earlier phases. Practicing this also saves cost by moving ahead, even if by hours and days, in the race for the launch of the quality software.
Continuous Integration and Continuous Delivery (CI/CD) Is the New Black
Automation is the answer to our concerns about having to choose between quality and speed when going for software testing. A significant percentage of developers around the globe have already turned towards continuous integration and continuous delivery (CI/CD) for automation and testing purposes. CI/CD allows the developers and testers to constantly test, deliver, and deploy the changes that occur along the life cycle without compromising on the quality. It basically allows for real-time detection and resolution of the defects as they occur. This naturally minimizes the chance for error and missed issues, that may corrupt the flow of software at later stages.
Artificial Intelligence (AI) Taking the Developers’ World by Storm
Another development in the field of software testing and information technology that makes it all look achievable is Artificial Intelligence (AI) and the use of AI in coding. AI has developed to its finer version in quite a short time to regulate and take charge of the coding tasks, with minimum risk. The methodology works on mathematical reasoning and learning engines; it can learn the code and can develop new ones on the same lines without having the developers manually code every tiny detail and take up a considerable amount of time.
Automated Feedback Solution for Automated Problems
Not only the time, but AI for coding can also help manage other issues for the developers as well. It can test the code simultaneously with the development process. This is not possible with human subjects, thus time and quality both are maintained. The AI, thus, allows for feedback at the same time which saves many other smaller problems with bigger impacts on the software.
A Proactive Approach to Agile Coding
All of this works well for the quality of the software as it allows for a more comprehensive and detail-oriented source code. The gaps are visible at all stages of the development to all stakeholders. Even if the amends are not made immediately, or the needs of the software change over time, the AI managed code development allows for quicker, more informed, and better-targeted changes in the code.
It is, thus, safe to say that in times of robots, machines, and intelligent technology contesting for quality, time and costs is not an issue anymore. It is all too good to be true really.
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