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Improving the reliability of transaction identification in use cases
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11499053_34openalex-snapshot
UC Workbench – A Tool for Writing Use Cases and Generating Mockups
inferredcites →https://doi.org/10.1007/3-540-45441-1_35openalex-snapshot
Estimating Software Development Effort Based on Use Cases — Experiences from Industry
inferredcites →https://doi.org/10.1007/978-3-322-99929-0_4openalex-snapshot
Mapping the OO-Jacobson Approach to Function Point Analysis
inferredcites →https://doi.org/10.1007/978-3-540-85279-7_5openalex-snapshot
Automatic Transactions Identification in Use Cases
inferredcites →https://doi.org/10.1007/s10270-004-0060-3openalex-snapshot
Use cases – Yesterday, today, and tomorrow
inferredcites →https://doi.org/10.1007/s11334-007-0043-yopenalex-snapshot
Employing use cases to early estimate effort with simpler metrics
inferredcites →https://doi.org/10.1016/0950-5849(92)90126-aopenalex-snapshot
Object-oriented software engineering: a use case driven approach
inferredcites →https://doi.org/10.1016/j.infsof.2005.02.008openalex-snapshot
Automated software size estimation based on function points using UML models
inferredcites →https://doi.org/10.1016/j.infsof.2010.10.005openalex-snapshot
Simplifying effort estimation based on Use Case Points
inferredcites →https://doi.org/10.1080/00401706.2000.10486067openalex-snapshot
Practical Nonparametric Statistics
inferredcites →https://doi.org/10.1080/01621459.1952.10483441openalex-snapshot
Use of Ranks in One-Criterion Variance Analysis
inferredcites →https://doi.org/10.1093/biomet/52.3-4.591openalex-snapshot
An Analysis of Variance Test for Normality (Complete Samples)
inferredcites →https://doi.org/10.1093/biomet/55.1.1openalex-snapshot
Probability plotting methods for the analysis for the analysis of data
inferredcites →https://doi.org/10.1109/32.489070openalex-snapshot
Towards a framework for software measurement validation
inferredcites →https://doi.org/10.1109/metric.2004.1357878openalex-snapshot
Proceedings 10th International Symposium on Software Metrics
inferredcites →https://doi.org/10.1109/metrics.2004.21openalex-snapshot
Estimating effort by use case points: method, tool and case study
inferredcites →https://doi.org/10.1111/1467-8721.ep10768783openalex-snapshot
Statistical Power Analysis
inferredcites →https://doi.org/10.1145/1118537.1118540openalex-snapshot
Software estimation in the maintenance context
inferredcites →https://doi.org/10.1145/1218776.1218780openalex-snapshot
Use cases modeling and software estimation
inferredcites →https://doi.org/10.2307/2334448openalex-snapshot
Probability Plotting Methods for the Analysis of Data
inferredcites →https://doi.org/10.3115/1608858.1608859openalex-snapshot
The Stanford typed dependencies representation
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.1882openalex-snapshot
Analyzing the relationship between project productivity and environment factors in the use case points method
inferred← citeshttps://doi.org/10.1002/smr.2110openalex-snapshot
Project productivity evaluation in early software effort estimation
inferred← citeshttps://doi.org/10.1007/978-3-319-04298-5_5openalex-snapshot
Agile Requirements Engineering: A Research Perspective
inferred← citeshttps://doi.org/10.1007/978-3-319-18473-9_2openalex-snapshot
Applied Least Square Regression in Use Case Estimation Precision Tuning
inferred← citeshttps://doi.org/10.1007/978-3-319-43606-7_2openalex-snapshot
Sketching Use-Case Scenarios Based on Use-Case Goals and Patterns
inferred← citeshttps://doi.org/10.1007/978-3-319-48523-2_13openalex-snapshot
Factors Affecting the Accuracy of Use Case Points
inferred← citeshttps://doi.org/10.1007/978-3-319-57141-6_1openalex-snapshot
Improving Algorithmic Optimisation Method by Spectral Clustering
inferred← citeshttps://doi.org/10.1007/978-3-319-57141-6_52openalex-snapshot
Evaluation of Data Clustering for Stepwise Linear Regression on Use Case Points Estimation
inferred← citeshttps://doi.org/10.1007/s11219-021-09547-0openalex-snapshot
Empirical analysis on productivity prediction and locality for use case points method
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.05.008openalex-snapshot
A hybrid model for estimating software project effort from Use Case Points
inferred← citeshttps://doi.org/10.1016/j.infsof.2014.09.011openalex-snapshot
Automated events identification in use cases
inferred← citeshttps://doi.org/10.1016/j.infsof.2016.08.007openalex-snapshot
Functional size approximation based on use-case names
inferred← citeshttps://doi.org/10.1016/j.infsof.2017.12.009openalex-snapshot
Evaluating subset selection methods for use case points estimation
inferred← citeshttps://doi.org/10.1016/j.infsof.2018.06.009openalex-snapshot
An empirical study on catalog of non-functional requirement templates: Usefulness and maintenance issues
inferred← citeshttps://doi.org/10.1016/j.infsof.2020.106310openalex-snapshot
Deep learning model for end-to-end approximation of COSMIC functional size based on use-case names
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.scico.2020.102596openalex-snapshot
Predicting software effort from use case points: A systematic review
inferred← citeshttps://doi.org/10.1016/j.scico.2022.102819openalex-snapshot
On the Value of Project Productivity for Early Effort Estimation
inferred← citeshttps://doi.org/10.1109/access.2023.3329369openalex-snapshot
Evaluating Kernel Functions in Software Effort Estimation: A Comparative Study of Moving Window and Spectral Clustering Models Across Diverse Datasets
inferred← citeshttps://doi.org/10.1109/empire.2012.6347684openalex-snapshot
Investigating the usefulness of notations in the context of requirements engineering
inferred← citeshttps://doi.org/10.1109/jiot.2023.3281614openalex-snapshot
More Accurate Cost Estimation for Internet of Things Projects by Adaptation of Use Case Points Methodology
inferred← citeshttps://doi.org/10.1134/s0361768816030087openalex-snapshot
Algorithmic optimization method for effort estimation
inferred← citeshttps://doi.org/10.1371/journal.pone.0141887openalex-snapshot
Algorithmic Optimisation Method for Improving Use Case Points Estimation
inferred← citeshttps://doi.org/10.17013/risti.21.18-32openalex-snapshot
Factores que Afectan la Precisión de la Estimación del Esfuerzo en Proyectos de Software Usando Puntos de Caso de Uso
inferred← citeshttps://doi.org/10.17485/ijst/2017/v10i21/112822openalex-snapshot
Method to Estimate Size of Multimedia Software
inferred← citeshttps://doi.org/10.23919/eecsi56542.2022.9946456openalex-snapshot
Optimizing SVM Hyperparameters using Predatory Swarms Algorithms for Use Case Points Estimation
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/10.31501/rgcti.v1i1.7824openalex-snapshot
Guia de apoio de análise de ponto de função: uma proposta para interpretação de processo elementar
inferred← citeshttps://doi.org/10.3390/electronics10050592openalex-snapshot
Using Actors and Use Cases for Software Size Estimation
inferred← citeshttps://doi.org/10.48550/arxiv.2012.07005openalex-snapshot
Predicting Software Effort from Use Case Points: A Systematic Review
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