Trends in the appllinaction of machine learning algorithms for predicting software project success
A large number of companies are shifting from a process-oriented to a project-oriented approach. This change is particularly noticeable in the information systems and technology industry, where the role of project management has become extremely important. As software projects are characterized by a...
| 出版年: | Tehnika |
|---|---|
| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Union of Engineers and Technicians of Serbia
2024-01-01
|
| 主題: | |
| オンライン･アクセス: | https://scindeks-clanci.ceon.rs/data/pdf/0040-2176/2024/0040-21762405625P.pdf |
| 要約: | A large number of companies are shifting from a process-oriented to a project-oriented approach. This change is particularly noticeable in the information systems and technology industry, where the role of project management has become extremely important. As software projects are characterized by a very high degree of complexity, the pursuit of predicting the outcome and success of a software project has become extremely important. For these needs, incorporation of certain approaches in the field of artificial intelligence is being considered. This research paper involves the implementation of a simple bibliometric analysis, with the aim of revealing existing trends in the research of this topic. Also, the most commonly examined project success criteria are identified, as well as machine learning algorithms applied for the purposes of predicting the success of software projects. |
|---|---|
| ISSN: | 0040-2176 2560-3086 |