Results 31 to 40 of about 173,318 (310)

A New Optimized Hybrid Model Based On COCOMO to Increase the Accuracy of Software Cost Estimation [PDF]

open access: yesJournal of Advances in Computer Engineering and Technology, 2018
The literature review shows software development projects often neither meet time deadlines, nor run within the allocated budgets. One common reason can be the inaccurate cost estimation process, although several approaches have been proposed in this ...
Ramin Saljoughinejad, Vahid Khatibi
doaj  

Analogy-Based Approaches to Improve Software Project Effort Estimation Accuracy

open access: yesJournal of Intelligent Systems, 2019
In the discipline of software development, effort estimation renders a pivotal role. For the successful development of the project, an unambiguous estimation is necessitated.
Resmi V, Vijayalakshmi S
doaj   +1 more source

Causal-Effect Analysis using Bayesian LiNGAM Comparing with Correlation Analysis in Function Point Metrics and Effort [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2018
Software effort estimation is a critical task for successful software development, which is necessary for appropriately managing software task assignment and schedule and consequently producing high quality software.
Masanari Kondo   +2 more
doaj   +1 more source

An Improved COCOMO based Model to Estimate the Effort of Software Projects [PDF]

open access: yesJournal of Advances in Computer Engineering and Technology, 2016
One of important aspects of software projects is estimating the cost and time required to develop projects. Nowadays, this issue has become one of the key concerns of project managers.
Vahid Khatibi Bardsiri   +1 more
doaj  

An Empirical Analysis on Software Development Efforts Estimation in Machine Learning Perspective

open access: yesAdvances in Distributed Computing and Artificial Intelligence Journal, 2021
The prediction of effort estimation is a vital factor in the success of any software development project. The available of expert systems for the software effort estimation supports in minimization of effort and cost for every software project at same ...
Zulfiqar Ali   +2 more
doaj   +1 more source

Hyperparameter Optimization for Effort Estimation

open access: yesCoRR, 2018
Software analytics has been widely used in software engineering for many tasks such as generating effort estimates for software projects. One of the "black arts" of software analytics is tuning the parameters controlling a data mining algorithm. Such hyperparameter optimization has been widely studied in other software analytics domains (e.g.
Tianpei Xia   +5 more
openaire   +2 more sources

Advanced Bayesian Network for Task Effort Estimation in Agile Software Development

open access: yesApplied Sciences, 2023
Effort estimation is always quite a challenge, especially for agile software development projects. This paper describes the process of building a Bayesian network model for effort prediction in agile development.
Mili Turic   +3 more
doaj   +1 more source

Software Project Effort Estimation

open access: yes, 2022
Software effort estimation is one of the oldest and most important problems in software project management, and thus today there are a large number of models, each with its own unique strengths and weaknesses in general, and even more importantly, in ...
Jeffrey, Ross, Trendowicz, Adam
core   +1 more source

Improving Software Effort Estimation Models Using Grey Wolf Optimization Algorithm

open access: yesIEEE Access, 2023
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.
Nada Mohammed Alsheikh   +1 more
doaj   +1 more source

Estimating software project effort using analogies

open access: yes, 1997
Accurate project effort prediction is an important goal for the software engineering community. To date most work has focused upon building algorithmic models of effort, for example COCOMO. These can be calibrated to local environments. We describe an
Schofield, C, Shepperd, MJ
core   +1 more source

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