@INPROCEEDINGS{Politowski23-GAS-VideoGamesBalance,
   AUTHOR       = {Cristiano Politowski and Fabio Petrillo and 
      El Boussaidi, Ghizlane and Gabriel Cavalheiro Ullmann and 
      Yann-Ga�l Gu�h�neuc},
   BOOKTITLE    = {Proceedings of the 7<sup>th</sup> ICSE International Workshop on Games and Software Engineering (GAS)},
   TITLE        = {Assessing Video Game Balance using Autonomous Agents},
   YEAR         = {2023},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Kendra Cooper},
   MONTH        = {May},
   NOTE         = {8 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {25--32},
   PUBLISHER    = {ACM Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Video game development</b>, 
      Topic: <b>Test case generation</b>, Venue: <i>GAS</i>},
   URL          = {http://www.ptidej.net/publications/documents/GAS23b.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/GAS23b.ppt.pdf},
   ABSTRACT     = {As the complexity and scope of games increase, game 
      testing, also called playtesting, becomes an essential activity to 
      ensure the quality of video games. Yet, the manual, ad-hoc nature of 
      game testing leaves space for automation. In this paper, we research, 
      design, and implement an approach to supplement game testing to 
      balance video games with autonomous agents. We evaluate our approach 
      with two platform games. We bring a systematic way to assess if a 
      game is balanced by (1) comparing the difficulty levels between game 
      versions and issues with the game design, and (2) the game demands 
      for skill or luck.}
}

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