TY - GEN
T1 - Function Points Method in Game Casual Context
AU - Dewi, Renny Sari
AU - Andari, Trias Widha
AU - Subriadi, Apol Pribadi
AU - Sholiq,
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2019/1/7
Y1 - 2019/1/7
N2 - Function Points (FP) method has been trusty and proven to be effective to estimate the effort of thousands of software development projects. Nowadays, the mobile game development-especially in a casual genre-is growing. Therefore, the researcher is excited to test the FP method whether it can also be applied to estimating the game development effort. FP method usually consists of 3 main stages: weighing 5 parameters of Unadjusted FP, calculating 14 complexity factors, and calculating Adjusted FP. Survey to 8 casual games was conducted and the value of effort for each one of them has been estimated. So, we conclude that FP is not suitable to forecast the effort of mobile casual games. There are 376 percent deviation between effort estimations and actual effort. The authors suspect, for mobile game development, the game's point of view needs to be re-adjusted to 5 input parameters, complexity factors, conversion of programming languages, and productivity rate.
AB - Function Points (FP) method has been trusty and proven to be effective to estimate the effort of thousands of software development projects. Nowadays, the mobile game development-especially in a casual genre-is growing. Therefore, the researcher is excited to test the FP method whether it can also be applied to estimating the game development effort. FP method usually consists of 3 main stages: weighing 5 parameters of Unadjusted FP, calculating 14 complexity factors, and calculating Adjusted FP. Survey to 8 casual games was conducted and the value of effort for each one of them has been estimated. So, we conclude that FP is not suitable to forecast the effort of mobile casual games. There are 376 percent deviation between effort estimations and actual effort. The authors suspect, for mobile game development, the game's point of view needs to be re-adjusted to 5 input parameters, complexity factors, conversion of programming languages, and productivity rate.
KW - effort estimation
KW - function points
KW - game effort
KW - mobile game
UR - http://www.scopus.com/inward/record.url?scp=85061910458&partnerID=8YFLogxK
U2 - 10.1109/ICECOS.2018.8605188
DO - 10.1109/ICECOS.2018.8605188
M3 - Conference contribution
AN - SCOPUS:85061910458
T3 - Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018
SP - 367
EP - 372
BT - Proceedings of 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Electrical Engineering and Computer Science, ICECOS 2018
Y2 - 2 October 2018 through 4 October 2018
ER -