Regression Testing of Massively Multiplayer Online Role-Playing Games

Yuechen Wu, Yingfeng Chen, Xiaofei Xie, Bing Yu, Changjie Fan, Lei Ma

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Regression testing aims to check the functionality consistency during software evolution. Although general regression testing has been extensively studied, regression testing in the context of video games, especially Massively Multiplayer Online Role-Playing Games (MMORPGs), is largely untouched so far. One big challenge is that game testing requires a certain level of intelligence in generating suitable action sequences among the huge search space, to accomplish complex tasks in the MMORPG. Existing game testing mainly relies on either the manual playing or manual scripting, which are labor-intensive and time-consuming. Even worse, it is often unable to satisfy the frequent industrial game evolution. The recent process in machine learning brings new opportunities for automatic game playing and testing. In this paper, we propose a reinforcement learning-based regression testing technique that explores differential behaviors between multiple versions of an MMORPGs such that the potential regression bugs could be detected. The preliminary evaluation on real industrial MMORPGs demonstrates the promising of our technique.

本文言語英語
ホスト出版物のタイトルProceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ692-696
ページ数5
ISBN(電子版)9781728156194
DOI
出版ステータス出版済み - 9 2020
イベント36th IEEE International Conference on Software Maintenance and Evolution, ICSME 2020 - Virtual, Adelaide, オーストラリア
継続期間: 9 27 202010 3 2020

出版物シリーズ

名前Proceedings - 2020 IEEE International Conference on Software Maintenance and Evolution, ICSME 2020

会議

会議36th IEEE International Conference on Software Maintenance and Evolution, ICSME 2020
Countryオーストラリア
CityVirtual, Adelaide
Period9/27/2010/3/20

All Science Journal Classification (ASJC) codes

  • Software
  • Safety, Risk, Reliability and Quality
  • Modelling and Simulation

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