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Nowadays, more and more organizations depend on trends in the IT market. Now one can see how even small companies hire employees who can create a website and launch the sale of a particular product. The field of IT is developing very rapidly and needs constant change. Since this field was born very abruptly and did not have the ability to adapt to the realities of the world economy grammatically, there are a lot of disagreements not only with clients but also with employees within the same company. It is essential to be able to solve this problem area and try as little as possible to allow problems with customers themselves. To this end, it is necessary to follow the basic rules of software maintenance.
There are several basic principles that are responsible for this aspect. These are corrective, preventative, and perfective software maintenance. It is thanks to these methods and companies can build a strategy to improve their sites and the way they sell the product, having a clear plan of action to solve critical situations. Speaking about the corrective way, it depends directly on the users of the resource and how they help identify vulnerabilities. Often companies offer rewards for finding bugs in the system, and thus the search for vulnerabilities leads to a reward and improvement of the developers capabilities (Varga, 2018). Another way, preventive, is designed for a radically different approach. It takes more time to develop because companies look for vulnerabilities in their product themselves so that they can provide them in a completely finished form without the need to look for vulnerabilities.
Despite the good intention to make a fully working product, it is often the case that there are minor bugs and users find vulnerabilities even in a nearly finished product. The last method is perfective, whose peculiarity consists in balancing the previous two strategies. On the one hand, the company devotes much time to the development and preparation of the product for a full launch, as in the preventive model. But on the other hand, it listens to advise from users when the product is at a late stage of development and takes their opinion into account when creating additional functions. A similar approach was demonstrated in the corrective method.
Technical solutions can not be limited when working on a project, whatever it may be. Much still depends on human perception and how the product is perceived by users. Although machine learning has reached unbelievable heights, conquering the design or website creation market, the main criterion is not who created the product but what the end result is (Varga, 2018). Machine learning technologies at the moment are not ready to fully satisfy customers but rather a tool to solve created issues. Perhaps in the near future, technology will be able to replace human labor, but at the moment, this is not possible for a number of objective reasons.
One example of inherited systems is the current work of video game companies. Their strategies for project development are long outdated and in need of refinement. This is evidenced by the different parses of the projects made, which do not receive high marks from both users and critics. An example of such a company is Electronic Arts, which stagnates on its old projects without developing new ones. The approach to creating remakes of old games can be considered one of the clearest examples of the legacy system. The primary solution to help resolve the situation could be a change in the development vector to create new projects and adapt them to the realities of the market.
Reference
Varga, E. (2018). Unraveling Software Maintenance and Evolution : Thinking Outside the Box. Springer.
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