LSTM Based Source Code Generation for Turkish Pseudo Code of Algorithm

Basit Öğe Kaydı
dc.contributor.authorİnce, Murat
dc.date.accessioned2023-04-10T20:25:54Z
dc.date.available2023-04-10T20:25:54Z
dc.date.issued2021
dc.departmentRektörlük, Rektörlüğe Bağlı Birimler, Düzce Üniversitesi Dergilerien_US
dc.description.abstractAlgorithmic thinking and programming abilities of students is controversial and popular issue in technological education programs in schools and universities. Students that have not best mathematical and analytical background may have difficulties in learning computer programing. Moreover, learning programming is highly difficult for a single individual to establish connection between discrete pseudo code of algorithm and source code. Another problem is required time to write a piece of program code. In order to solve this problem, there are some tools that tutor students to get analyze and realize relation between pseudo code and source code. In this study, we propose a deep learning method that is Long Short Term-Memory (LSTM) based source code generator from Turkish pseudo codes. For this purpose, we used Introduction to programming course exams in vocational high school as dataset to train LSTM. When users query a Turkish pseudo code of algorithm, C# source code is generated. In order to measure success of proposed system, generated source code and instructor’s source code is analyzed with text similarity methods. Results show that proposed system is useful for students to learn fundamental programming skills.en_US
dc.identifier.doi10.29130/dubited.824799
dc.identifier.endpage113en_US
dc.identifier.issn2148-2446
dc.identifier.issue1en_US
dc.identifier.startpage104en_US
dc.identifier.trdizinid496507en_US
dc.identifier.urihttp://doi.org/10.29130/dubited.824799
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/496507
dc.identifier.urihttps://hdl.handle.net/20.500.12684/11685
dc.identifier.volume9en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofDüzce Üniversitesi Bilim ve Teknoloji Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleLSTM Based Source Code Generation for Turkish Pseudo Code of Algorithmen_US
dc.typeArticleen_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
11685.pdf
Boyut:
381.1 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

TR-Dizin İndeksli Yayınlar Koleksiyonu
Düzce Üniversitesi Bilim ve Teknoloji Dergisi Koleksiyonu