Stackoverflow gönderilerinde tartışılan trend konuların kelime frekans analizi ile belirlenmesi

Year 2021, Volume: 11 Issue: 2, 357 - 368, 15.04.2021

Fatih Gürcan Özcan Özyurt

https://doi.org/10.17714/gumusfenbil.811123

Abstract

Günümüzde yazılım geliştiriciler ve bilgisayar bilimciler sıklıkla çevrimiçi bilgi paylaşım platformlarını kullanmaktadır. StackOverflow bu platformların başında gelmektedir. Bu ortamda paylaşılan bilgilerin analizi güncel konu ve eğilimlerin belirlenmesinde önemli çıkarımlar sunabilir. Bu bağlamda yürütülen çalışmada 2019 yılı içerisinde StackOverflow platformu üzerinde paylaşılan gönderilere ait etiketlerin incelenmesi amaçlanmıştır. Kelime frekans analizine dayalı metinsel içerik analizinin yapıldığı bu çalışmada, StackOverflow gönderilerinde kullanılan etiketlerle bir veri seti oluşturulmuş ve bu etiketler içerisinde en çok kullanılanlar, ivmesi artan ve azalan etiketler analiz edilmiştir. Bu analiz sonucunda elde edilen etiketlerden en çok kullanılan elli etiket üzerinden detaylı sonuçlar verilmiştir. En çok kullanılan bu 50 etiketin altı sınıf altında kümelendiği görülmüştür. Çalışmanın sonuçlarına dayanarak başta yenilikçi web, mobil ve ilişkisel olmayan veri tabanı teknolojileri olmak üzere güncel teknolojilerin genel olarak sık kullanıldığı ve ivmelerinin arttığı söylenebilir. Bunun yanında programlama dilleri, araçları ve kütüphanelerinde Python odaklı güçlü bir eğilimin olduğu açıktır. Çalışmanın sonuçlarının başta yazılım geliştiriciler ve bu alanda eğitim alan ve kariyerini bu alanda planlayan bireyler olmak üzere, müfredat yapıcılar ve karar vericilere önemli bilgiler sunması beklenmektedir.

Keywords

Kelime frekans analizi, Soru ve cevap forumları, StackOverflow gönderileri, Trend konular

Identification of trend topics discussed in stackoverflow posts by word frequency analysis

Abstract

Today, software developers and computer scientists frequently use online information sharing platforms. StackOverflow is one of these important platforms. The analysis of the information shared in this environment can offer important implications in revealing current issues and trends. In this context, it is aimed to examine the tags of the posts shared on the StackOverflow platform in 2019. In this study, in which textual content analysis based on word frequency analysis was made, a data set was created with the tags used in StackOverflow posts, and the most used tags among these tags, whose acceleration increased and decreased, were analyzed. Detailed results were given on the fifty most used tags among the tags obtained as a result of this analysis. It has been observed that these 50 most used tags are clustered under six classes. Based on the results of the study, it can be said that current technologies, especially innovative web, mobile and non-relational database technologies, are generally used frequently and their acceleration has increased. In addition, it is clear that there is a strong Python-oriented trend in programming languages, tools and libraries. The results of the study are expected to provide important information to curriculum makers and decision-makers, especially software developers and individuals who have received training in this field and plan their career in this field.

Keywords

Word frequency analysis, Question and answer forums, StackOverflow posts, Trend topics

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