A new approach to software effort estimation using different artificial neural network architectures and Taguchi orthogonal arrays
In this article, two different architectures of Artificial Neural Networks (ANN) are proposed as
an efficient tool for predicting and estimating software effort. Artificial Neural Networks, as a …
an efficient tool for predicting and estimating software effort. Artificial Neural Networks, as a …
Intelligent alerting for fruit-melon lesion image based on momentum deep learning
W Tan, C Zhao, H Wu - Multimedia Tools and Applications, 2016 - Springer
Sensors and Internet of things (IoT) have been widely used in the digitalized orchards.
Traditional disease-pest recognition and early warning systems, which are based on …
Traditional disease-pest recognition and early warning systems, which are based on …
Software effort estimation based on the optimal Bayesian belief network
In this paper, we present a model for software effort (person-month) estimation based on
three levels Bayesian network and 15 components of COCOMO and software size. The …
three levels Bayesian network and 15 components of COCOMO and software size. The …
Optimizing software effort estimation models using firefly algorithm
Software development effort estimation is considered a fundamental task for software
development life cycle as well as for managing project cost, time and quality. Therefore …
development life cycle as well as for managing project cost, time and quality. Therefore …
A CAD system for software effort estimation
P Bhambri - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
The mentioned article investigates the use of approaches and techniques of machine
learning especially the unsupervised learning ways in order to compute effort of software …
learning especially the unsupervised learning ways in order to compute effort of software …
RETRACTED ARTICLE: Ensemble learning with recursive feature elimination integrated software effort estimation: A novel approach
KE Rao, GA Rao - Evolutionary Intelligence, 2021 - Springer
To develop software, estimating actual effort is important for any organization as there is no
chance of getting either overestimation or underestimation. Due to the overestimation of …
chance of getting either overestimation or underestimation. Due to the overestimation of …
Software cost estimation using environmental adaptation method
Environmental adaptation method (EAM) is one of the evolutionary algorithms for solving
single objective optimization problems. After the first proposal of EAM, other variants have …
single objective optimization problems. After the first proposal of EAM, other variants have …
Software cost estimation using homeostasis mutation based differential evolution
SP Singh, A Kumar - … on Intelligent Systems and Control (ISCO), 2017 - ieeexplore.ieee.org
The main concern in the field of software development is estimation of the cost of software at
its initial phase of development. The cost estimation usually depends upon the size of the …
its initial phase of development. The cost estimation usually depends upon the size of the …
Applying soft computing techniques for software project effort estimation modelling
S Sharma, S Vijayvargiya - Nanoelectronics, Circuits and Communication …, 2021 - Springer
Software project development phase is a crucial one; under this, calculating the accurate
effort and cost is challenging and tedious task, and for that, one has to undergo several hit …
effort and cost is challenging and tedious task, and for that, one has to undergo several hit …
A novel technique of software cost estimation using flower pollination algorithm
A Ullah, B Wang, J Sheng, J Long… - … and Systems (ICICAS …, 2019 - ieeexplore.ieee.org
Estimating Cost of Software (ECS) is a very essential aspect of a software development life
cycle. Accurate estimations are needed in terms of person month and development time for …
cycle. Accurate estimations are needed in terms of person month and development time for …