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Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation
المؤلفون المشاركون
Elish, Mahmoud O.
Helmy, Tarek
Hussain, Muhammad Imtiaz
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-07-11
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص EN
Accurate estimation of software development effort is essential for effective management and control of software development projects.
Many software effort estimation methods have been proposed in the literature including computational intelligence models.
However, none of the existing models proved to be suitable under all circumstances; that is, their performance varies from one dataset to another.
The goal of an ensemble model is to manage each of its individual models’ strengths and weaknesses automatically, leading to the best possible decision being taken overall.
In this paper, we have developed different homogeneous and heterogeneous ensembles of optimized hybrid computational intelligence models for software development effort estimation.
Different linear and nonlinear combiners have been used to combine the base hybrid learners.
We have conducted an empirical study to evaluate and compare the performance of these ensembles using five popular datasets.
The results confirm that individual models are not reliable as their performance is inconsistent and unstable across different datasets.
Although none of the ensemble models was consistently the best, many of them were frequently among the best models for each dataset.
The homogeneous ensemble of support vector regression (SVR), with the nonlinear combiner adaptive neurofuzzy inference systems-subtractive clustering (ANFIS-SC), was the best model when considering the average rank of each model across the five datasets.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Elish, Mahmoud O.& Helmy, Tarek& Hussain, Muhammad Imtiaz. 2013. Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-21.
https://search.emarefa.net/detail/BIM-1008996
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Elish, Mahmoud O.…[et al.]. Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation. Mathematical Problems in Engineering No. 2013 (2013), pp.1-21.
https://search.emarefa.net/detail/BIM-1008996
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Elish, Mahmoud O.& Helmy, Tarek& Hussain, Muhammad Imtiaz. Empirical Study of Homogeneous and Heterogeneous Ensemble Models for Software Development Effort Estimation. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-21.
https://search.emarefa.net/detail/BIM-1008996
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1008996
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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