Oguz,Z.Y.Turhan,C.Software EngineeringEnergy Systems Engineering2024-07-052024-07-0520220978-166545995-210.1109/IISEC56263.2022.99982432-s2.0-85146372325https://doi.org/10.1109/IISEC56263.2022.9998243https://hdl.handle.net/20.500.14411/4086Each stage in the software development lifecycle has its own requirements, validation criteria, and output. Requirement analysis, which is one of the initial stages of the life cycle, can be considered as the most important stage of a project. Incorrectly defined, analyzed, and incorporated, requirements can lead to errors or even project failure in the later stages of the project. Considering the existence of software products in almost every field today, we can say that different requirements have arisen in a wide variety of fields. The use of appropriate technologies can yield much more efficient results than manual analysis of these relatively large numbers of different requirements. One of them is ontology-based approaches. In this research, the use of ontologies in software requirement analysis has been investigated. Systematic mapping was chosen as the research method. At the end of the study, it was found that technologies that adopt an ontology-based approach increase efficiency and accuracy in software requirements analysis. © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessontology-based developmentrequirement analysisrequirement engineeringsoftware requirementsConference Object