Predictive Models and Data Analytics in Software Engineering (PROMISE 2023)

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Journal

Empirical Software Engineering serves as a vital forum for applied software engineering research with a strong empirical focus.

Showing 1-9 of 9 articles

Design pattern recognition: a study of large language models
Sushant Kumar Pandey
Sivajeet Chand
Darko Durisic
OriginalPaper Open access 18 February 2025 Article: 69
Enhanced code reviews using pull request based change impact analysis
Ismail Sergen Göçmen
Ahmed Salih Cezayir
Eray Tüzün
OriginalPaper Open access 12 February 2025 Article: 64
How secure is AI-generated code: a large-scale comparison of large language models
Norbert Tihanyi
Tamas Bisztray
Lucas C. Cordeiro
OriginalPaper 21 December 2024 Article: 47
Evaluating ensemble imputation in software effort estimation
Ibtissam Abnane
Ali Idri
Alain Abran
OriginalPaper 15 March 2023 Article: 56
Semantically-enhanced topic recommendation systems for software projects
Maliheh Izadi
Mahtab Nejati
Abbas Heydarnoori
OriginalPaper 24 February 2023 Article: 50
Guest Editorial: Special Issue on Predictive Models and Data Analytics in Software Engineering
Ayse Tosun
Shane McIntosh
Burak Turhan
Editorial 19 February 2020 Pages: 1533 - 1535
Deriving a usage-independent software quality metric
Tapajit Dey
Audris Mockus
OriginalPaper 19 February 2020 Pages: 1596 - 1641
Cross-version defect prediction: use historical data, cross-project data, or both?
Sousuke Amasaki
OriginalPaper 28 January 2020 Pages: 1573 - 1595
Code Localization in Programming Screencasts
Mohammad Alahmadi
Abdulkarim Khormi
Piyush Kumar
OriginalPaper 20 January 2020 Pages: 1536 - 1572