@INPROCEEDINGS{Ullmann22-ICEC-GameEnginesAnatomies,
   AUTHOR       = {Gabriel Cavalheiro Ullmann and Cristiano Politowski and 
      Yann-Ga�l Gu�h�neuc and Fabio Petrillo},
   BOOKTITLE    = {Proceedings of the 21<sup>st</sup> International Conference on Entertainment Computing (ICEC)},
   TITLE        = {Game Engine Comparative Anatomy},
   YEAR         = {2022},
   OPTADDRESS   = {},
   OPTCROSSREF  = {},
   EDITOR       = {Barbara G�bl and van der Spek, Erik},
   MONTH        = {November},
   NOTE         = {9 pages.},
   OPTNUMBER    = {},
   OPTORGANIZATION = {},
   PAGES        = {103--111},
   PUBLISHER    = {ACM Press},
   OPTSERIES    = {},
   OPTVOLUME    = {},
   KEYWORDS     = {Topic: <b>Video game development</b>, 
      Topic: <b>Program comprehension</b>, Venue: <c>ICEC</c>},
   URL          = {http://www.ptidej.net/publications/documents/ICEC22.doc.pdf},
   PDF          = {http://www.ptidej.net/publications/documents/ICEC22.ppt.pdf},
   ABSTRACT     = {Video game developers use game engines as a tool to 
      manage complex aspects of game development. While engines play a big 
      role in the success of games, to the best of our knowledge, they are 
      often developed in isolation, in a closed-source manner, without 
      architectural discussions, comparison, and collaboration among 
      projects. In this work in progress, we compare the call graphs of two 
      open-source engines: Godot 3.4.4 and Urho3D 1.8. While static 
      analysis tools could provide us with a general picture without 
      precise call graph paths, the use of a profiler such as Callgrind 
      allows us to also view the call order and frequency. These graphs 
      give us insight into the engines' designs. We showed that, by using 
      Callgrind, we can obtain a high-level view of an engine's 
      architecture, which can be used to understand it. In future work, we 
      intend to apply both dynamic and static analysis to other open-source 
      engines to understand architectural patterns and their impact on 
      aspects such as performance and maintenance.}
}

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C.","Politowski, C.","Gu�h�neuc, Y.","Petrillo, F."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Gabriel","Cavalheiro"],"propositions":[],"lastnames":["Ullmann"],"suffixes":[]},{"firstnames":["Cristiano"],"propositions":[],"lastnames":["Politowski"],"suffixes":[]},{"firstnames":["Yann-Ga�l"],"propositions":[],"lastnames":["Gu�h�neuc"],"suffixes":[]},{"firstnames":["Fabio"],"propositions":[],"lastnames":["Petrillo"],"suffixes":[]}],"booktitle":"Proceedings of the 21^st International Conference on Entertainment Computing (ICEC)","title":"Game Engine Comparative Anatomy","year":"2022","optaddress":"","optcrossref":"","editor":[{"firstnames":["Barbara"],"propositions":[],"lastnames":["G�bl"],"suffixes":[]},{"propositions":["van","der"],"lastnames":["Spek"],"firstnames":["Erik"],"suffixes":[]}],"month":"November","note":"9 pages.","optnumber":"","optorganization":"","pages":"103–111","publisher":"ACM Press","optseries":"","optvolume":"","keywords":"Topic: <b>Video game development</b>, Topic: <b>Program comprehension</b>, Venue: <c>ICEC</c>","url":"http://www.ptidej.net/publications/documents/ICEC22.doc.pdf","pdf":"http://www.ptidej.net/publications/documents/ICEC22.ppt.pdf","abstract":"Video game developers use game engines as a tool to manage complex aspects of game development. 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While engines play a big \r\n role in the success of games, to the best of our knowledge, they are \r\n often developed in isolation, in a closed-source manner, without \r\n architectural discussions, comparison, and collaboration among \r\n projects. In this work in progress, we compare the call graphs of two \r\n open-source engines: Godot 3.4.4 and Urho3D 1.8. While static \r\n analysis tools could provide us with a general picture without \r\n precise call graph paths, the use of a profiler such as Callgrind \r\n allows us to also view the call order and frequency. These graphs \r\n give us insight into the engines' designs. We showed that, by using \r\n Callgrind, we can obtain a high-level view of an engine's \r\n architecture, which can be used to understand it. In future work, we \r\n intend to apply both dynamic and static analysis to other open-source \r\n engines to understand architectural patterns and their impact on \r\n aspects such as performance and maintenance.}\r\n}\r\n\r\n","author_short":["Ullmann, G. 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