A flexible effort estimator model based on ASO algorithm

Name: A flexible effort estimator model based on ASO algorithm
Author: Amin Moradbeiky, Vahid Khatibi, Mehdi Jafari

İsim	A flexible effort estimator model based on ASO algorithm
Yazar	Amin Moradbeiky, Vahid Khatibi, Mehdi Jafari
Basım Tarihi:	1378
Basım Yeri	- Semnan University, 1378.
Konu	atom search optimization, development effort estimation, machine learning, software project, Engineering design, TA174
Tür	Süreli Yayın
Dil	Farsça
Dijital	Evet
Yazma	Hayır
Fiziksel Boyutlar	electronic resource
Kütüphane:	Bursa Uludağ Üniversitesi Kütüphanesi
Demirbaş Numarası	edsdoj.8d9258297a0404084733dd392169cf1
Kayıt Numarası	locbqprsjr
Lokasyon	LCC:Engineering design
Tarih	1378
Örnek Metin	Accurate estimation of required effort for software development plays an important role in the success of the software project. This is always a challenging issue due to the intangible nature of the software project. Therefore, a large category of researches have been performed to develop accurate tools to estimate the required efforts for software development. According to the presented papers in related works, the adoption of methods to identify the types of relationship between software project features and features affecting the required effort for software development have a significant impact on effort estimation accuracy increment. In addition, the effectiveness of various features on the software development effort estimation is different. So, the feature effectiveness determination is advantageous in increasing the effort estimation accuracy. This paper presents a new model consisting of sub-models for project features analyzing and it uses a new and accurate heuristic algorithm called Atom Search Optimization (ASO) Algorithm to configure tools and data modeling methods. The presented model in this article is designed in multiple layers and the sub-models are organized in separate layers. The organizations of sub-models are in such a way to increase performance of other layers and ultimately increase the final estimate accuracy. In accuracy evaluation of the proposed model, 3 data sets from real projects are used and the comparisons of the results with different methods are presented. Based on the results, the proposed model leads to significant improvement of final effort estimation accuracy.
DOI	10.22075/jme.2022.25440.2185
ISSN	2008-4854, 2783-2538
İlişki	https://modelling.semnan.ac.ir/article_7089_e7628b285fee02e2345176581bdaa498.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538

Kaynağa git Bursa Uludağ Üniversitesi Kütüphanesi

Diğer Nüshalar

Bursa Uludağ Üniversitesi Kütüphanesi

Kaynağa git

A flexible effort estimator model based on ASO algorithm

Yazar Amin Moradbeiky, Vahid Khatibi, Mehdi Jafari

Basım Tarihi 1378

Basım Yeri - Semnan University, 1378.

Konu atom search optimization, development effort estimation, machine learning, software project, Engineering design, TA174

Tür Süreli Yayın

Dil Farsça

Dijital Evet

Yazma Hayır

Fiziksel Boyutlar electronic resource

Kütüphane Bursa Uludağ Üniversitesi Kütüphanesi

Demirbaş Numarası edsdoj.8d9258297a0404084733dd392169cf1

Kayıt Numarası locbqprsjr

Lokasyon LCC:Engineering design

Tarih 1378

Örnek Metin Accurate estimation of required effort for software development plays an important role in the success of the software project. This is always a challenging issue due to the intangible nature of the software project. Therefore, a large category of researches have been performed to develop accurate tools to estimate the required efforts for software development. According to the presented papers in related works, the adoption of methods to identify the types of relationship between software project features and features affecting the required effort for software development have a significant impact on effort estimation accuracy increment. In addition, the effectiveness of various features on the software development effort estimation is different. So, the feature effectiveness determination is advantageous in increasing the effort estimation accuracy. This paper presents a new model consisting of sub-models for project features analyzing and it uses a new and accurate heuristic algorithm called Atom Search Optimization (ASO) Algorithm to configure tools and data modeling methods. The presented model in this article is designed in multiple layers and the sub-models are organized in separate layers. The organizations of sub-models are in such a way to increase performance of other layers and ultimately increase the final estimate accuracy. In accuracy evaluation of the proposed model, 3 data sets from real projects are used and the comparisons of the results with different methods are presented. Based on the results, the proposed model leads to significant improvement of final effort estimation accuracy.

DOI 10.22075/jme.2022.25440.2185

ISSN 2008-4854, 2783-2538

İlişki https://modelling.semnan.ac.ir/article_7089_e7628b285fee02e2345176581bdaa498.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538

A flexible effort estimator model based on ASO algorithm

Diğer Nüshalar