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Bayesian statistical effort prediction models for data-centred 4GL software development

https://doi.org/10.1016/j.infsof.2006.01.001

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What this work says

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

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Software Engineering Economics

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Approaches to measuring size of application products with CASE tools

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Establishing relationships between specification size and software process effort in CASE environments

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An application of Bayesian network for predicting object-oriented software maintainability

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A study of the relationships among Albrecht and Mark II Function Points, lines of code 4GL and effort

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On the use of Bayesian belief networks for the prediction of software productivity

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Building large-scale Bayesian networks

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On Building Prediction Systems for Software Engineers

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What accuracy statistics really measure

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Bayesian Statistical Modelling

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A software size model

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Bayesian analysis of empirical software engineering cost models

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A critique of software defect prediction models

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A validation of the component-based method for software size estimation

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An empirical validation of the relationship between the magnitude of relative error and project size

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Frequently forgotten fundamental facts about software engineering

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Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation

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Disaggregating and calibrating the CASE tool variable in COCOMO II

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A Primer on Markov Chain Monte Carlo

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What points at this work

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

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The state‐of‐the‐art in software development effort estimation

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A study of the non-linear adjustment for analogy based software cost estimation

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A study of mutual information based feature selection for case based reasoning in software cost estimation

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Functional networks as a novel data mining paradigm in forecasting software development efforts

inferred← citeshttps://doi.org/10.1016/j.ijproman.2012.02.003openalex-snapshot

Forecasting enterprise resource planning software effort using evolutionary support vector machine inference model

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GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation

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Research patterns and trends in software effort estimation

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Software cost estimation for component-based fourth-generation-language software applications

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A 20‐year mapping of Bayesian belief networks in software project management

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Handling Estimation Uncertainty with Bootstrapping: Empirical Evaluation in the Context of Hybrid Prediction Methods

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Bayesian Inference Approach for Probabilistic Analogy Based Software Maintenance Effort Estimation

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An experimental comparison of software effort estimation methods of ORM based 4GL software applications

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New Computational Intelligence Paradigm for Estimating the Software Project Effort

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Mind the gaps: increasing the impact of IS research on ISD performance improvement

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The Application of Meta-Heuristic Algorithms to Improve the Performance of Software Development Effort Estimation Models

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Lean engineering logistics: load leveling of design jobs with capacity considerations

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