Software Development Effort Estimation Using Regression Fuzzy Models
المؤلفون المشاركون
Abran, Alain
Nassif, Ali Bou
Azzeh, Mohammad
Idri, Ali
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-17، 17ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-20
دولة النشر
مصر
عدد الصفحات
17
التخصصات الرئيسية
الملخص EN
Software effort estimation plays a critical role in project management.
Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources.
Machine-learning techniques are increasingly popular in the field.
Fuzzy logic models, in particular, are widely used to deal with imprecise and inaccurate data.
The main goal of this research was to design and compare three different fuzzy logic models for predicting software estimation effort: Mamdani, Sugeno with constant output, and Sugeno with linear output.
To assist in the design of the fuzzy logic models, we conducted regression analysis, an approach we call “regression fuzzy logic.” State-of-the-art and unbiased performance evaluation criteria such as standardized accuracy, effect size, and mean balanced relative error were used to evaluate the models, as well as statistical tests.
Models were trained and tested using industrial projects from the International Software Benchmarking Standards Group (ISBSG) dataset.
Results showed that data heteroscedasticity affected model performance.
Fuzzy logic models were found to be very sensitive to outliers.
We concluded that when regression analysis was used to design the model, the Sugeno fuzzy inference system with linear output outperformed the other models.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Nassif, Ali Bou& Azzeh, Mohammad& Idri, Ali& Abran, Alain. 2019. Software Development Effort Estimation Using Regression Fuzzy Models. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129618
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Nassif, Ali Bou…[et al.]. Software Development Effort Estimation Using Regression Fuzzy Models. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-17.
https://search.emarefa.net/detail/BIM-1129618
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Nassif, Ali Bou& Azzeh, Mohammad& Idri, Ali& Abran, Alain. Software Development Effort Estimation Using Regression Fuzzy Models. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-17.
https://search.emarefa.net/detail/BIM-1129618
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1129618
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر