Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling

dc.authorid Cagiltay, Nergiz/0000-0003-0875-9276
dc.authorid Menekse Dalveren, Gonca Gokce/0000-0002-8649-1909
dc.authorid GURCAN, Fatih/0000-0001-9915-6686
dc.authorid Forti, Stefano/0000-0002-4159-8761
dc.authorscopusid 57194776706
dc.authorscopusid 57201658878
dc.authorscopusid 16237826800
dc.authorscopusid 35243744400
dc.authorwosid Cagiltay, Nergiz/O-3082-2019
dc.authorwosid Soylu, Ahmet/D-9960-2011
dc.authorwosid Menekse Dalveren, Gonca Gokce/HHS-4591-2022
dc.authorwosid GURCAN, Fatih/AAJ-7503-2021
dc.authorwosid Forti, Stefano/I-3083-2018
dc.contributor.author Gurcan, Fatih
dc.contributor.author Dalveren, Gonca Gokce Menekse
dc.contributor.author Cagiltay, Nergiz Ercil
dc.contributor.author Soylu, Ahmet
dc.contributor.other Information Systems Engineering
dc.contributor.other Software Engineering
dc.date.accessioned 2024-07-05T15:16:47Z
dc.date.available 2024-07-05T15:16:47Z
dc.date.issued 2022
dc.department Atılım University en_US
dc.department-temp [Gurcan, Fatih] Karadeniz Tech Univ, Fac Engn, Dept Comp Engn, TR-61080 Trabzon, Turkey; [Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz Ercil] Atilim Univ, Fac Engn, Dept Software Engn, TR-06830 Ankara, Turkey; [Soylu, Ahmet] Norwegian Univ Sci & Technol, Dept Comp Sci, N-2815 Gjovik, Norway en_US
dc.description Cagiltay, Nergiz/0000-0003-0875-9276; Menekse Dalveren, Gonca Gokce/0000-0002-8649-1909; GURCAN, Fatih/0000-0001-9915-6686; Forti, Stefano/0000-0002-4159-8761 en_US
dc.description.abstract The 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. en_US
dc.identifier.citationcount 10
dc.identifier.doi 10.1109/ACCESS.2022.3190632
dc.identifier.endpage 74654 en_US
dc.identifier.issn 2169-3536
dc.identifier.scopus 2-s2.0-85134225463
dc.identifier.scopusquality Q1
dc.identifier.startpage 74638 en_US
dc.identifier.uri https://doi.org/10.1109/ACCESS.2022.3190632
dc.identifier.uri https://hdl.handle.net/20.500.14411/1652
dc.identifier.volume 10 en_US
dc.identifier.wos WOS:000838542600001
dc.identifier.wosquality Q2
dc.institutionauthor Dalveren, Gonca Gökçe Menekşe
dc.institutionauthor Çağıltay, Nergiz
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 19
dc.subject Market research en_US
dc.subject Systematics en_US
dc.subject Software engineering en_US
dc.subject Software en_US
dc.subject Bibliometrics en_US
dc.subject Text mining en_US
dc.subject Licenses en_US
dc.subject Corpus creation en_US
dc.subject research trends and topics en_US
dc.subject software engineering en_US
dc.subject text mining en_US
dc.subject topic model en_US
dc.title Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling en_US
dc.type Article en_US
dc.wos.citedbyCount 16
dspace.entity.type Publication
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