Artificial Intelligence and Management of Dualities in Software Development Companies
DOI:
https://doi.org/10.31449/upinf.247Keywords:
agile methodologies, artificial intelligence, decision-support systems, dualism management, software development, software engineeringAbstract
Artificial intelligence (AI) has become omnipresent in the software development area and its management nowadays, including a very important part of the management of dualities. However, this theme still remains poorly studied and debatable, especially for leading personnel of software development companies. Effective management of dualities is very important for the success of any company and artificial intelligence can significantly influence it. For this reason, the first initial goal of the research was to study different aspects of the utilization of AI in the management of dualities in companies from the area of development of software solutions to systemize existing knowledge on the topic. Those aspects include possibilities of use, its benefits and drawbacks, and analysis of existing solutions and case studies. The second less important initial goal was to prepare recommendations for the implementation and utilization of AI in the business area. The study is qualitative and consists of two sequential parts: theoretical and practical. The first one is conducted with a scoping literature review. The second one is based on the first and represents research in the professional area in the form of a structured interview. The results show the benefits as well as the importance and necessity of the implementation of AI support for the management of dualities for the success of software development companies. At the same time, they identify some potential drawbacks and problems with technology acceptance. Additionally, they identify potential inconsistencies between theoretical investigations and the reality of the business area. Based on them the most important recommendations for the process are prepared and written down. The results are useful for the people employed in the area both in leading and non-leading roles. The inconsistencies identified need an additional investigation. This work could be used as a good starting point for continuing research works on the topic.