01005nam a22002057a 4500952013300000999001700133040003600150082001700186100002300203245006700226260003500293300004300328500013900371500004000510500003900550502005500589546001200644650013600656942000700792  00104071aRIUbRIUd2021-05-18eRiphah International universityl0o006.312 NOMp68110r2021-05-18 00:00:00t1w2021-05-18yTH  c34361d34361  cRiphah International University  a006.312bNOM  aNoman Khan (20929)  aA machine learning-based tool to predict playability for games  aIslamabadb(unpublished)c2021  ax, 36 p.b: ill., Col.,c; 30 cm.e+CD  aSubmitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing.  aIncludes bibliographical references  aThesis supervisor: Dr. Adeel Zafar  aThesis (MS)--Riphah International University, 2021  aEnglish  aMachine learningvGames methodsvGames descriptionvGames playabilityvVideo games vPlayability measuresvSoftware engineeringvFC  cTH