An extended and validated dataset of game development problems based on postmortem analysis

IF 1.9 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2026-08-01 Epub Date: 2026-10-14 DOI:10.1016/j.dib.2026.113355

Claude Cardinal, Bruno Bouchard

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引用次数: 0

Abstract

This article presents an extended dataset, along with validation records and quality-control procedures, of software engineering problems reported in video game development postmortems published between 1998 and 2025. The dataset combines the Politowski et al. reference corpus with a contemporary extension collected from Game Developer, Reddit, and the GDC Vault. The extension preserves the original taxonomy and coding structure used in the reference corpus. Problem instances were coded using the original taxonomy and validated through a human-in-the-loop review process supported by AI-assisted extraction. The resulting resource contains 267 postmortems and 1227 coded problem instances, together with source information, temporal metadata, and validation records. The dataset includes source metadata, taxonomy labels, supporting quotations, and validation records that may be reused for software engineering and game development research.

All data records, documentation, and coding procedures are provided to facilitate reuse, reproducibility, and future dataset extensions. The complete dataset, source documents, coding records, validation materials, and associated documentation are available through Zenodo (DOI: 10.5281/zenodo.19683430).

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基于事后分析的游戏开发问题扩展和验证数据集

本文呈现了一个扩展的数据集，以及1998年至2025年间发布的电子游戏开发事后检验报告中报告的软件工程问题的验证记录和质量控制程序。该数据集结合了Politowski等人的参考语料库和从Game Developer、Reddit和GDC Vault收集的当代扩展。扩展保留了参考语料库中使用的原始分类法和编码结构。问题实例使用原始分类法进行编码，并通过人工智能辅助提取支持的人在循环审查过程进行验证。结果资源包含267个事后分析和1227个编码问题实例，以及源信息、临时元数据和验证记录。该数据集包括源元数据、分类法标签、支持引用和验证记录，可用于软件工程和游戏开发研究。提供了所有数据记录、文档和编码过程，以促进重用、再现性和未来的数据集扩展。完整的数据集、源文档、编码记录、验证材料和相关文档可通过Zenodo （DOI: 10.5281/ Zenodo .19683430）获得。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.