چکیده مقاله
Nowadays, development and production of software is considered as an essential affair To do so with a proper quality and an economic cost, a good estimation of the required time and cost is necessary; therefore, it can be said that Software Cost Estimation SCE , which is usually a difficult affair, plays an effective role in the efficiency of an organization The difficulty could be because of some reasons like incomprehensibility of software projects at the beginning of software production So that, a current provided estimation procedure does not SCE and makes us apply new approaches to estimate more exactly Therefore, in this paper, we have got a new approach based on the hybrid of both Genetic Algorithm GA and Artificial Bee Colony ABC algorithm to SCE In this procedure a collection of different datum has been applied to form the test and training data and evaluate the function of the provided approach, MMER, MMRE, MDMRE, PRED N , MSE, RMSE, MAE, MAPE, have been applied Afterward the results of this procedure were compared with those acquired by models of COCOMO II, other procedures and both GA and ABC algorithm; finally, the results signified the decrease of errors in SCE
کلیدواژهها
نویسندگان
Pegah Ahmadi
Department of Computer Engineering, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran
Farhad Soleymanian Gharechopogh
Department of Computer Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
شیوه ارجاع
Ahmadi, Pegah and Soleymanian Gharechopogh, Farhad,1396,A new approach in software cost estimation using Hybrid Genetic and Artificial Bee Clony Algorithms,Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge,Tehran
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی مهندسی برق و کامپیوتر با تاکید بر دانش بومی19 بهمن 1396 · تهران