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Using Actors and Use Cases for Software Size Estimation

https://doi.org/10.3390/electronics10050592

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11754305_15openalex-snapshot

COCOMO-U: An Extension of COCOMO II for Cost Estimation with Uncertainty

inferredcites →https://doi.org/10.1007/978-1-4939-3295-5openalex-snapshot

Model-Based Systems Engineering with OPM and SysML

inferredcites →https://doi.org/10.1007/978-1-4939-3295-5_12openalex-snapshot

SysML: Foundations and Diagrams

inferredcites →https://doi.org/10.1007/978-3-319-18473-9_2openalex-snapshot

Applied Least Square Regression in Use Case Estimation Precision Tuning

inferredcites →https://doi.org/10.1007/978-3-319-18476-0_31openalex-snapshot

On the Value of Parameters of Use Case Points Method

inferredcites →https://doi.org/10.1007/978-3-319-57141-6_1openalex-snapshot

Improving Algorithmic Optimisation Method by Spectral Clustering

inferredcites →https://doi.org/10.1007/978-3-319-57141-6_52openalex-snapshot

Evaluation of Data Clustering for Stepwise Linear Regression on Use Case Points Estimation

inferredcites →https://doi.org/10.1007/978-3-540-48480-6_15openalex-snapshot

Literate Modelling — Capturing Business Knowledge with the UML

inferredcites →https://doi.org/10.1007/bf02919976openalex-snapshot

Use cases, UML visual modelling and the trivialisation of business requirements

inferredcites →https://doi.org/10.1007/s00521-015-2004-yopenalex-snapshot

Pareto efficient multi-objective optimization for local tuning of analogy-based estimation

inferredcites →https://doi.org/10.1007/s10664-013-9277-5openalex-snapshot

HAZOP-based identification of events in use cases

inferredcites →https://doi.org/10.1007/s10664-016-9446-4openalex-snapshot

Investigating the use of moving windows to improve software effort prediction: a replicated study

inferredcites →https://doi.org/10.1007/s11334-011-0177-9openalex-snapshot

On the refinement of use case models with variability support

inferredcites →https://doi.org/10.1016/b978-012373585-0/50006-4openalex-snapshot

OCUP intermediate

inferredcites →https://doi.org/10.1016/j.asoc.2010.08.006openalex-snapshot

Fuzzy Emotional COCOMO II Software Cost Estimation (FECSCE) using Multi-Agent Systems

inferredcites →https://doi.org/10.1016/j.infsof.2010.10.005openalex-snapshot

Simplifying effort estimation based on Use Case Points

inferredcites →https://doi.org/10.1016/j.infsof.2011.02.004openalex-snapshot

Improving the reliability of transaction identification in use cases

inferredcites →https://doi.org/10.1016/j.infsof.2011.12.008openalex-snapshot

Evaluating prediction systems in software project estimation

inferredcites →https://doi.org/10.1016/j.infsof.2014.07.013openalex-snapshot

Analogy-based software development effort estimation: A systematic mapping and review

inferredcites →https://doi.org/10.1016/j.infsof.2017.12.009openalex-snapshot

Evaluating subset selection methods for use case points estimation

inferredcites →https://doi.org/10.1016/j.jss.2009.10.044openalex-snapshot

Visual comparison of software cost estimation models by regression error characteristic analysis

inferredcites →https://doi.org/10.1016/j.jss.2012.07.050openalex-snapshot

Towards an early software estimation using log-linear regression and a multilayer perceptron model

inferredcites →https://doi.org/10.1016/j.jss.2016.11.029openalex-snapshot

Analysis and selection of a regression model for the Use Case Points method using a stepwise approach

inferredcites →https://doi.org/10.1109/32.637387openalex-snapshot

Estimating software project effort using analogies

inferredcites →https://doi.org/10.1109/access.2019.2891878openalex-snapshot

Categorical Variable Segmentation Model for Software Development Effort Estimation

inferredcites →https://doi.org/10.1109/aero.1996.496074openalex-snapshot

Cost modeling process maturity-COCOMO 2.0

inferredcites →https://doi.org/10.1109/cise.2009.5364706openalex-snapshot

Extended Use Case Points Method for Software Cost Estimation

inferredcites →https://doi.org/10.1109/compsac.2006.77openalex-snapshot

Software Effort Estimation Based on Use Cases

inferredcites →https://doi.org/10.1109/esem.2009.5316021openalex-snapshot

Transactions and paths: Two use case based metrics which improve the early effort estimation

inferredcites →https://doi.org/10.1109/fuzzy.2011.6007471openalex-snapshot

Improving estimation accuracy of the COCOMO II using an adaptive fuzzy logic model

inferredcites →https://doi.org/10.1109/icica.2014.79openalex-snapshot

Regression Techniques in Software Effort Estimation Using COCOMO Dataset

inferredcites →https://doi.org/10.1109/icmla.2012.138openalex-snapshot

Estimating Software Effort Using an ANN Model Based on Use Case Points

inferredcites →https://doi.org/10.1109/icmla.2018.00232openalex-snapshot

Ensemble of Learning Project Productivity in Software Effort Based on Use Case Points

inferredcites →https://doi.org/10.1109/ictai.2011.64openalex-snapshot

Estimating Software Effort Based on Use Case Point Model Using Sugeno Fuzzy Inference System

inferredcites →https://doi.org/10.1145/1062455.1062516openalex-snapshot

Effort estimation of use cases for incremental large-scale software development

inferredcites →https://doi.org/10.1145/1218776.1218780openalex-snapshot

Use cases modeling and software estimation

inferredcites →https://doi.org/10.1155/2019/8367214openalex-snapshot

Software Development Effort Estimation Using Regression Fuzzy Models

inferredcites →https://doi.org/10.1371/journal.pone.0141887openalex-snapshot

Algorithmic Optimisation Method for Improving Use Case Points Estimation

inferredcites →https://doi.org/10.1504/ijcat.2016.076777openalex-snapshot

A case study for the software size estimation through MK II FPA and FP methods

inferredcites →https://doi.org/10.17632/2rfkjhx3cn.1openalex-snapshot

Use Case Points Benchmark Dataset

inferredcites →https://doi.org/10.4018/978-1-4666-4785-5.ch006openalex-snapshot

Fuzzy Rules for Risk Assessment and Contingency Estimation within COCOMO Software Project Planning Model

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/smr.2365openalex-snapshot

Effort prediction for the software project construction phase

inferred← citeshttps://doi.org/10.1002/smr.2588openalex-snapshot

Towards effective feature selection in estimating software effort using machine learning

inferred← citeshttps://doi.org/10.1002/smr.2611openalex-snapshot

Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation

inferred← citeshttps://doi.org/10.1007/978-3-030-90318-3_65openalex-snapshot

Analyzing Correlation of the Relationship Between Technical Complexity Factors and Environmental Complexity Factors for Software Development Effort Estimation

inferred← citeshttps://doi.org/10.1007/978-3-031-09070-7_35openalex-snapshot

Towards a Correction Factors-Based Software Productivity Using Ensemble Approach for Early Software Development Effort Estimation

inferred← citeshttps://doi.org/10.1007/978-3-031-70300-3_30openalex-snapshot

Evaluating Mean Squared Error as a Fitness Function in SOMA for Software Effort Estimation: Insights from the NASA Dataset

inferred← citeshttps://doi.org/10.1007/978-3-031-70595-3_29openalex-snapshot

Estimating Function Points of Development Project in IoT Systems Case Study

inferred← citeshttps://doi.org/10.1007/s10489-022-04160-5openalex-snapshot

Know-UCP: locally weighted linear regression based approach for UCP estimation

inferred← citeshttps://doi.org/10.1016/j.advengsoft.2022.103329openalex-snapshot

Prediction based cost estimation technique in agile development

inferred← citeshttps://doi.org/10.1016/j.daach.2026.e00527openalex-snapshot

Heritage BIM and City Information Modelling for the conservation and management of built heritage environments: Insights from the case of two historic centers in Cyprus

inferred← citeshttps://doi.org/10.1016/j.procs.2024.09.314openalex-snapshot

Enhancing Software Effort Estimation through Influencers-based Project Similarity Measurement

inferred← citeshttps://doi.org/10.1093/comjnl/bxac065openalex-snapshot

Construction and Validation of Early Software Size Estimation Models Based on ADAF-Adjusted ACD Metrics

inferred← citeshttps://doi.org/10.1109/access.2021.3085752openalex-snapshot

Improving the Accuracy of Early Software Size Estimation Using Analysis-to-Design Adjustment Factors (ADAFs)

inferred← citeshttps://doi.org/10.1109/access.2021.3139183openalex-snapshot

Parametric Software Effort Estimation Based on Optimizing Correction Factors and Multiple Linear Regression

inferred← citeshttps://doi.org/10.1109/access.2024.3399060openalex-snapshot

Enhancing Software Effort Estimation With Self-Organizing Migration Algorithm: A Comparative Analysis of COCOMO Models

inferred← citeshttps://doi.org/10.1109/access.2024.3510629openalex-snapshot

Integrating Emotional Requirements in Use-Case Point Model for Effort Estimation of Healthcare System

inferred← citeshttps://doi.org/10.1109/eecsi59885.2023.10295716openalex-snapshot

Research Trends in Software Development Effort Estimation

inferred← citeshttps://doi.org/10.1109/iceeie66203.2025.11254827openalex-snapshot

Explanation of a Simple Machine Learning Model for Software Effort Estimation using SHAP (SHapley Additive exPlanations)

inferred← citeshttps://doi.org/10.1109/icet59753.2023.10374977openalex-snapshot

Determining the Utility of Use Case Points and Class Points in Early Software Size Estimation

inferred← citeshttps://doi.org/10.1109/icic60109.2023.10381948openalex-snapshot

Software Effort Estimation with Use Case Point Approach on Website Builder Project: A Systematic Performance Evaluation

inferred← citeshttps://doi.org/10.1109/ubmk63289.2024.10773461openalex-snapshot

Estimation of Software Integration Test Duration via UML Statecharts

inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130687openalex-snapshot

Improved Data Segmentation Architecture for Early Size Estimation using Machine Learning

inferred← citeshttps://doi.org/10.20527/jtiulm.v7i1.125openalex-snapshot

INCOMING AND OUTGOING SERVICE FOR THE ACADEMIC SECTION OF LAMBUNG MANGKURAT UNIVERSITY

inferred← citeshttps://doi.org/10.26555/ijain.v10i1.1298openalex-snapshot

Optimization of use case point through the use of metaheuristic algorithm in estimating software effort

inferred← citeshttps://doi.org/10.26555/ijain.v8i2.811openalex-snapshot

Optimizing complexity weight parameter of use case points estimation using particle swarm optimization

inferred← citeshttps://doi.org/10.33899/edusj.2022.132274.1201openalex-snapshot

Software Development Effort Estimation Techniques: A Survey

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Neuro-Fuzzy System to Predict Timely Harvest in Stevia Crops

inferred← citeshttps://doi.org/10.3390/electronics10101195openalex-snapshot

Estimating Software Development Efforts Using a Random Forest-Based Stacked Ensemble Approach

inferred← citeshttps://doi.org/10.47577/technium.v4i9.7251openalex-snapshot

Software Size Estimation: A survey

inferred← citeshttps://doi.org/10.67458/re2024a10239246openalex-snapshot

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