Wyszukiwanie zaawansowane ?

Obiekt

Pobierz

Tytuł: A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm, Journal of Telecommunications and Information Technology, 2016, nr 1

Autor:

Khuat, Thanh Tung ; Le, Hanh Le

Data wydania:

2016, nr 1

Typ zasobu:

artykuł

Opis:

Software cost estimation is a critical activity in the development life cycle for controlling risks and planning project schedules. Accurate estimation of the cost before the start-up of a project is essential for both the developers and the customers. Therefore, many models were proposed to address this issue, in which COCOMO II has been being widely employed in actual software projects. Good estimation models, such as COCOMO II, can avoid insufficient resources being allocated to a project. However, parameters for estimation formula in this model have not been optimized yet, and so the estimated results are not close to the actual results. In this paper, a novel technique to optimize the coefficients for COCOMO II model by using teaching-learning-based optimization (TLBO) algorithm is proposed. The performance of the model after optimizing parameters was tested on NASA software project dataset. The obtained results indicated that the improvement of parameters provided a better estimation capabilities compared to the original COCOMO II model.

Wydawca:

National Institute of Telecommunications

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1908

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

optimization teaching-learning-based optimization algorithm COCOMO II NASA software cost estimation

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

18 paź 2016

Data dodania obiektu:

18 paź 2016

Liczba wyświetleń treści obiektu:

169

Wszystkie dostępne wersje tego obiektu:

https://ribes-54.man.poznan.pl/publication/2182

Wyświetl opis w formacie RDF:

RDF

Wyświetl opis w formacie OAI-PMH:

OAI-PMH

Nazwa wydania Data
Khuat, Thanh Tung; Le, Hanh Le, A Novel Technique of Optimization for the COCOMO II Model Parameters using Teaching-Learning-Based Optimization Algorithm, Journal of Telecommunications and Information Technology, 2016, nr 1 18 paź 2016

Obiekty Podobne
Parallel Mutant Execution Techniques in Mutation Testing Process for Simulink Models, Journal of Telecommunications and Information Technology, 2017, nr 4

Tung, Khuat Thanh Hanh, Le Thi My Binh, Nguyen Thanh

2017, nr 4
artykuł
Forecasting Stock Price using Wavelet Neural Network Optimized by Directed Arti ficial Bee Colony Algorithm, Journal of Telecommunications and Information Technology, 2016, nr 2

Khuat, Thanh Tung Le, Quang Chanh Le, My Hanh Nguyen, Bich Loan

2016, nr 2
artykuł
New approach to computer aided design of coupled resonator filters, Journal of Telecommunications and Information Technology, 2003, nr 1

Mrozowski, Michał Kozakowski, Piotr

2003, nr 1
artykuł
Evolutionary Computation for Global Optimization – Current Trends, Journal of Telecommunications and Information Technology, 2011, nr 4

Arabas, Jarosław

2011, nr 4
artykuł
Journal of Telecommunications and Information Technology, Load Balancing Based on Optimization Algorithms: An Overview, 2019, nr 4

Mbarek, Fatma Mosorov, Volodymyr

2019, nr 4
artykuł
2023, nr 3, JTIT-artykuły
2023, nr 3, JTIT-artykuły
Minimized Group Delay FIR Low Pass Filter Design Using Modified Differential Search Algorithm, Journal of Telecommunications and Information Technology, 2023, nr 3

Dwivedi, Atul Kumar Tiwari, Manish Prajapati, Sonelal Rai, Sanjeev

2023, nr 3
artykuł
FTTH Network Optimization, Journal of Telecommunications and Information Technology, 2014, nr 4

Le, Hoang Nghia

2014, nr 4
artykuł
Benchmarking Procedures for Continuous Optimization Algorithms, Journal of Telecommunications and Information Technology, 2011, nr 4

Arabas, Jarosław Opara, Karol

2011, nr 4
artykuł
Więcej
×

Cytowanie

Styl cytowania:

Dane kontaktowe

Adres

Instytut Łączności – Państwowy Instytut Badawczy ul. Szachowa 1 04-894 Warszawa

Telefon

(+48) 5128 696

E-Mail

biblioteka@il-pib.pl

Odwiedź nas!

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji