Artificial intelligence across the software engineering lifecycle: extraction dataset and analysis scripts (2019-2024)

Title: Artificial intelligence across the software engineering lifecycle: extraction dataset and analysis scripts (2019-2024) Upload Type: Dataset Description: Extraction dataset and reproducible analysis pipeline for a systematic mapping study of empirical research on artificial intelligence in software engineering, covering publications from 2019 to 2024. The raw extraction records 641 rows across 21 fields per study; after removing 11 duplicated studies the analysed corpus contains 630 unique primary studies. Includes the raw workbook, the cleaned corpus, a full log of every automated correction with its reason, the derived statistics, and the scripts that regenerate every number and figure reported in the associated publications. Creators / Authors: Syed Tahir Hussan (STH Research Center for Advanced Technologies / Riphah International University, Islamabad, Pakistan) Keywords: software engineering artificial intelligence systematic mapping study empirical software engineering large language models open data License: Creative Commons Attribution 4.0 International (CC-BY-4.0) Version: 1.0.0 Language: English (eng)