Software cost and effort estimation: Current approaches and future trends

CH Rashid, I Shafi, J Ahmad, EB Thompson… - IEEE …, 2023 - ieeexplore.ieee.org
Software cost and effort estimation is one of the most significant tasks in the area of software
engineering. Research conducted in this field has been evolving with new techniques that …

A hybrid seasonal mechanism with a chaotic cuckoo search algorithm with a support vector regression model for electric load forecasting

Y Dong, Z Zhang, WC Hong - Energies, 2018 - mdpi.com
Providing accurate electric load forecasting results plays a crucial role in daily energy
management of the power supply system. Due to superior forecasting performance, the …

Metaheuristic algorithms in optimizing deep neural network model for software effort estimation

MS Khan, F Jabeen, S Ghouzali, Z Rehman… - Ieee …, 2021 - ieeexplore.ieee.org
Effort estimation is the most critical activity for the success of overall solution delivery in
software engineering projects. In this context, the paper's main contributions to the literature …

Software cost estimation based on dolphin algorithm

AA Fadhil, RGH Alsarraj, AM Altaie - IEEE Access, 2020 - ieeexplore.ieee.org
Accurate Software Effort Estimation is of high importance with regard to Software Project
Management. It can be specified as the process for predicting Effort regarding costs, needed …

A multi-stage price forecasting model for day-ahead electricity markets

R Angamuthu Chinnathambi, A Mukherjee, M Campion… - Forecasting, 2018 - mdpi.com
Forecasting hourly spot prices for real-time electricity markets is a key activity in economic
and energy trading operations. This paper proposes a novel two-stage approach that uses a …

Optimizing Deep Learning Model for Software Cost Estimation Using Hybrid Meta‐Heuristic Algorithmic Approach

CA ul Hassan, MS Khan, R Irfan, J Iqbal… - Computational …, 2022 - Wiley Online Library
Effective software cost estimation significantly contributes to decision‐making. The rising
trend of using nature‐inspired meta‐heuristic algorithms has been seen in software cost …

A soft computing based multi-objective optimization approach for automatic prediction of software cost models

SP Singh, G Dhiman, P Tiwari, RH Jhaveri - Applied Soft Computing, 2021 - Elsevier
This paper tries to extend the idea of single-objective differential evolution (DE) algorithm to
a multi-objective algorithm. Most of the existing algorithms face the problem of diversity loss …

Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis

PV Terlapu, KK Raju, GK Kumar, GJ Rao… - IEEE …, 2024 - ieeexplore.ieee.org
Effort estimations are a crucial aspect of software development. The tasks should be
completed before the start of any software project. Accurate estimations increase the …

Hybridizing chaotic and quantum mechanisms and fruit fly optimization algorithm with least squares support vector regression model in electric load forecasting

MW Li, J Geng, WC Hong, Y Zhang - Energies, 2018 - mdpi.com
Compared with a large power grid, a microgrid electric load (MEL) has the characteristics of
strong nonlinearity, multiple factors, and large fluctuation, which lead to it being difficult to …

An effective nature inspired approach for the estimation of software development cost

CA ul Hassan, MS Khan - 2021 16th International Conference …, 2021 - ieeexplore.ieee.org
Accurate estimation of software cost and time is one of the important aspects of software
project development. Accurate cost and effort predictions for software projects have a …