Results 11 to 20 of about 105,241 (264)
Categorical Variable Segmentation Model for Software Development Effort Estimation [PDF]
IEEE Access, 2019 This paper proposes a new software development effort estimation model. The new model's design is based on the function point analysis, categorical variable segmentation (CVS), and stepwise regression.
Petr Silhavy +2 more
doaj +3 more sources
Software Development Effort Estimation Using Regression Fuzzy Models. [PDF]
Comput Intell Neurosci, 2019 Software effort estimation plays a critical role in project management. Erroneous results may lead to overestimating or underestimating effort, which can have catastrophic consequences on project resources. Machine-learning techniques are increasingly popular in the field.
Nassif AB, Azzeh M, Idri A, Abran A.
europepmc +4 more sources
Estimating Efforts for Various Activities in Agile Software Development: An Empirical Study
IEEE Access, 2022 Effort estimation is an important practice in agile software development. The agile community believes that developers’ estimates get more accurate over time due to the cumulative effect of learning from short and frequent feedback. However, there
Lan Cao
doaj +1 more source
Spectral Clustering Effect in Software Development Effort Estimation
Symmetry, 2021 Software development effort estimation is essential for software project planning and management. In this study, we present a spectral clustering algorithm based on symmetric matrixes as an option for data processing. It is expected that constructing an estimation model on more similar data can increase the estimation accuracy.
Petr Silhavy +2 more
openaire +2 more sources
A Novel Model for Software Services Development Effort Estimation [PDF]
مجله 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
SEffEst: Effort estimation in software projects using fuzzy logic and neural networks [PDF]
International Journal of Computational Intelligence Systems, 2012 Academia and practitioners confirm that software project effort prediction is crucial for an accurate software project management. However, software development effort estimation is uncertain by nature.
Israel González-Carrasco +3 more
doaj +1 more source
Optimized COCOMO parameters using hybrid particle swarm optimization
IJAIN (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
An Empirical Analysis on Software Development Efforts Estimation in Machine Learning Perspective
Advances 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
Ciencias Administrativas Teoría y Praxis, 2022 Effort estimation (EE) is crucial for planning software projects since it contributes to delivery goals. Nevertheless, even in agile methodologies, EE is a complex process due to environmental and structural factors surrounding the interaction between ...
María Guadalupe Medina-Barrera +2 more
doaj +1 more source
GKRR: A gravitational-based kernel ridge regression for software development effort estimation [PDF]
Journal of Mahani Mathematical Research, 2022 Software Development Effort Estimation (SDEE) can be interpreted as a set of efforts to produce a new software system. To increase the estimation accuracy, the researchers tried to provide various machine learning regressors for SDEE.
Mohammad Bagher Dowlatshahi +3 more
doaj +1 more source