AUTOMATION IN SOFTWARE TESTING: HOW CAN AI OPTIMIZE THE TESTING PROCESS?

Аннотация

This article is devoted to the issues of optimizing software testing automation through the use of artificial intelligence. It highlights the application of AI technologies in testing, particularly their advantages in rapid error detection, automatic generation of test scenarios, and resource-efficient process management. In addition, the article discusses the reduction of human factor influence, improvement of software product quality, and potential innovative approaches that can be applied in this field in the future. The findings show that AI-based testing systems serve as an important factor in enhancing theefficiency ofsoftware engineering. Keywords: software testing, automated testing, artificial intelligence, optimization, error detection, test scenarios, software engineering efficiency. Introduction. Today, software has become an integral part of our lives. From mobile applications to complex systems used in large enterprises, everything is developed by programmers. At the same time, the testing process is of great importance for these products to be of high quality, stable and user-friendly. Traditional testing methods require a lot of time and resources, and are very dependent on the human factor. Therefore, in recent years, automation of the testing process has become widespread [1]. However, simple automated testing does not solveall problems. This iswhere artificial intelligence (AI) technologies come tothe rescue. Artificial intelligence provides a number of opportunities for optimizing the software testing process. First of all, AI allows you to automatically create and update test scripts. For example, when an update is introduced to the program, programmers have to rewrite traditional automated tests. This takes time and effort. An AI-based approach can analyze changes in the program itself and form appropriate tests. As a result, the process is accelerated and human labor is significantly reduced. The second important aspect is the rapid and accurate detection of errors. Traditional testing systems only follow specified scenarios. If the program gives an error in another unexpected situation, a person will have to check it manually. AI, on the other hand, is able to detect errors even in unexpected situations by studying user behavior during the use of the program. This increases the quality of the software product and allows it to be brought to market faster [2]. The third aspect is efficient resource management. In large enterprises, hundreds or thousands of tests are run simultaneously. The question of which tests to run first and which to postpone is very important for saving resources. AI-based systems can prioritize tests based on risk analysis. Thus, the most important and dangerous points are tested first, and less important ones are performed later. Another advantage of artificial intelligence is the reduction of the human factor. Often, when programmers or testers are tired, they can overlook errors due to inattention or subjective views. AI, on the other hand, does not have emotions, it works only on data. Therefore, the test results are more accurate and reliable. Of course, AI is not the only solution to all problems. It also needs the right data, a quality software environment and regular updates. In addition, AI-based testing systems initially require a lot of money and 197 Volume 4, issue 8, 2025 knowledge. It can be difficult for small companies to implement such systems. But from a long- term perspective, this investment is justified, because by improving the quality of the software product, thecompany ensures its competitiveness in themarket. These processes are also relevant in the case of Uzbekistan. The IT sector in our country is developing rapidly, the number of startups, mobile applications and web platforms is increasing. In such conditions, creating a quality software product is an important task for every company. If the possibilities of introducing artificial intelligence into testing processes are expanded, the quality indicators of local software will significantly improve [3]. This, in turn, will increase exportpotential andstrengthen thepositionofUzbek programmers in theinternational market. Today, software is used in almost all areas of our lives. From mobile applications to financial systems, even in the medical and transport sectors, it is difficult to imagine working without software products. At the same time, the issue of creating such programs and ensuring their quality remains constantly relevant. Improving quality, reducing the impact of the human factor, andimplementinginnovativeapproaches inthefuture are among themain tasks of thisprocess. One of the biggest problems in software development is the human factor. It is natural for people to make mistakes. Even the most experienced programmer can sometimes make simple coding mistakes or ignore some aspects during the testing process. Errors caused by the human factor negatively affect the quality of