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 …

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 design an optimized fuzzy adaptive proportional-integral-derivative controller for anti-lock braking systems

A Kanungo, P Kumar, V Gupta, NK Saxena - Engineering Applications of …, 2024 - Elsevier
This paper introduces a new control theory for optimizing anti-lock braking systems (ABS) in
automotive applications. Anti-lock systems play a critical role in ensuring vehicle safety …

Propose-specific information related to prediction level at X and mean magnitude of relative error: A case study of software effort estimation

H Huynh Thai, P Silhavy, M Fajkus, Z Prokopova… - Mathematics, 2022 - mdpi.com
The prediction level at x (PRED (x)) and mean magnitude of relative error (MMRE) are
measured based on the magnitude of relative error between real and predicted values. They …

Improving software effort estimation models using grey wolf optimization algorithm

NM Alsheikh, NM Munassar - IEEE Access, 2023 - ieeexplore.ieee.org
One of the Software Development Life Cycle phases is planning the software project.
Estimating the software effort is another task in this project planning phase. Software effort …

A study on mechanical and tribological properties of aluminium 6061-SiC-B4C-GO hybrid nanocomposites with a novel optimized mix selection approach

PSVNB Gupta, PSV Ramana Rao - International Journal of Cast …, 2024 - Taylor & Francis
This research deals with the mechanical and tribological behaviour of different weight
percentages of reinforcements (coated silicon carbide, boron carbide, and graphene oxide) …

Gradient boosting optimized through differential evolution for predicting the testing effort of software projects

AJ Sánchez-García, C López-Martín, A Abran - IEEE Access, 2023 - ieeexplore.ieee.org
Software testing (ST) is one of the most important software development life cycle (SDLC)
phases and ST effort is often expressed as a percentage of SDLC effort. Unfortunately, in the …

Automated software effort estimation for agile development system by heuristically improved hybrid learning

N Gupta, RP Mahapatra - Concurrency and Computation …, 2022 - Wiley Online Library
In the process of modern software development, an important role is played by software
effort estimation. The failure or success of the projects is mostly based on the schedule …

Enhancing the performance of software effort estimation through boosting ensemble learning

IG Chelaru - 2023 25th International Symposium on Symbolic …, 2023 - ieeexplore.ieee.org
Software effort estimation is a major component of the software development cycle, playing a
crucial role in the outcome of a project. Comprehending the volume and effort of a software …

Developing a Cost of Delay (CoD) framework for the DoD & analyzing the current state of Air Force agile cost estimation

J Goljan - 2021 - scholar.afit.edu
The study has two research objectives. The first research objective develops a proof of
concept for a Cost of Delay (CoD) framework to evaluate the Air Forces Kessel Run Software …