Results 11 to 20 of about 150,276 (218)

Extreme Learning Machine Applied to Software Development Effort Estimation

open access: yesIEEE Access, 2021
The project management process has been used in the area of Software Engineering to support project managers to keep projects under control. One of the essential processes in Software Engineering is to conduct an accurate and reliable estimation of the ...
Halcyon Davys Pereira De Carvalho   +2 more
doaj   +1 more source

Metaheuristic Algorithms in Optimizing Deep Neural Network Model for Software Effort Estimation

open access: yesIEEE Access, 2021
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 on software effort estimation are twofold. First, this
Muhammad Sufyan Khan   +5 more
doaj   +1 more source

A Novel Model for Software Services Development Effort Estimation [PDF]

open access: yesمجله مدل سازی در مهندسی, 2017
Accurate estimation of software service development effort is a great challenge both in industry and for academia. The concept of effort is an important and effective parameter in process development and software service management.
Amid khatibi bardsiri   +2 more
doaj   +1 more source

Web-Based Parametric Effort Estimation for Mobile Application Development

open access: yesProceedings, 2022
Estimation methods are continuously being adapted to obtain better and clearer estimations needed to achieve development goals. Some estimation methods were invented before the modern mobile application technology that is currently available. Thus, these
Nur Ida Aniza Rusli   +3 more
doaj   +1 more source

Adjusting effort estimation using micro-productivity profiles; pp. 71–80 [PDF]

open access: yesProceedings of the Estonian Academy of Sciences, 2013
We investigate a phenomenon we call micro-productivity decrease, which is expected to be found in most development or maintenance projects and has a specific profile that depends on the project, the development model, and the team.
Gabriella Tóth   +5 more
doaj   +1 more source

Blockchain-Based Software Effort Estimation: An Empirical Study

open access: yesIEEE Access, 2022
Context: The success or failure of any software development project significantly depends on the accuracy of its effort estimates. Software development effort estimation is the foundation for project bidding, budgeting, planning, and cost control ...
Mansoor Ahmed   +6 more
doaj   +1 more source

Optimized COCOMO parameters using hybrid particle swarm optimization

open access: yesIJAIN (International Journal of Advances in Intelligent Informatics), 2021
Software effort and cost estimation are crucial parts of software project development. It determines the budget, time, and resources needed to develop a software project.
Noor Azura Zakaria   +4 more
doaj   +1 more source

DevOps Project Management Tools for Sprint Planning, Estimation and Execution Maturity

open access: yesCybernetics and Information Technologies, 2020
The goal of DevOps is to cut down the project timelines, increase the productivity, and manage rapid development-deployment cycles without impacting business and quality. It requires efficient sprint management.
Angara Jayasri   +2 more
doaj   +1 more source

Estimate Programmatic Effort using the Traditional COCOMO Model and Neural Networks [PDF]

open access: yesAl-Rafidain Journal of Computer Sciences and Mathematics, 2013
Estimation models in software engineering are used to predict some important and future features for software project such as effort estimation for developing software projects.
Jamal Al-Din Sayed Majeed   +1 more
doaj   +1 more source

Applying Machine Learning to Estimate the Effort and Duration of Individual Tasks in Software Projects

open access: yesIEEE Access, 2023
Software estimation is a vital yet challenging project management activity. Various methods, from empirical to algorithmic, have been developed to fit different development contexts, from plan-driven to agile.
Andre O. Sousa   +8 more
doaj   +1 more source

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