Dalveren, Gonca Gökçe MenekşeGurcan, FatihDalveren, Gonca Gokce MenekseÇağıltay, NergizCagiltay, Nergiz ErcilSoylu, AhmetInformation Systems EngineeringSoftware Engineering2024-07-052024-07-052022102169-353610.1109/ACCESS.2022.31906322-s2.0-85134225463https://doi.org/10.1109/ACCESS.2022.3190632https://hdl.handle.net/20.500.14411/1652Cagiltay, Nergiz/0000-0003-0875-9276; Menekse Dalveren, Gonca Gokce/0000-0002-8649-1909; GURCAN, Fatih/0000-0001-9915-6686; Forti, Stefano/0000-0002-4159-8761The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today's research literature on software engineering has a rich and multidisciplinary content that includes a large number of studies; however, not many of them demonstrate a holistic view of the field. From this perspective, this study aimed to reveal a holistic view that reflects topics, trends, and trajectories in software engineering research by analyzing the majority of domain-specific articles published over the last 40 years. This study first presents an objective and systematic method for corpus creation through major publication sources in the field. A corpus was then created using this method, which includes 44 domain-specific conferences and journals and 57,174 articles published between 1980 and 2019. Next, this corpus was analyzed using an automated text-mining methodology based on a probabilistic topic-modeling approach. As a result of this analysis, 24 main topics were found. In addition, topical trends in the field were revealed. Finally, three main developmental stages of the field were identified as: the programming age, the software development age, and the software optimization age.eninfo:eu-repo/semantics/openAccessMarket researchSystematicsSoftware engineeringSoftwareBibliometricsText miningLicensesCorpus creationresearch trends and topicssoftware engineeringtext miningtopic modelArticleQ2Q1107463874654WOS:000838542600001