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Potential and limitations of the ISBSG dataset in enhancing software engineering research: A mapping review
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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The IT Measurement Compendium: Estimating and Benchmarking Success with Functional Size Measurement
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An Investigation of Software Development Productivity in China
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Software Engineering Economics
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On the value of outlier elimination on software effort estimation research
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Handling imprecision and uncertainty in software development effort prediction: A type-2 fuzzy logic based framework
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Software development effort prediction: A study on the factors impacting the accuracy of fuzzy logic systems
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Function points analysis: an empirical study of its measurement processes
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A Visual Text Mining approach for Systematic Reviews
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An Empirical Analysis of Software Productivity over Time
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Software Function, Source Lines of Code, and Development Effort Prediction: A Software Science Validation
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An empirical validation of software cost estimation models
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The value of mapping studies – A participant-observer case study
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Systematic reviews in the social sciences: a practical guide
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bayesian Data Analysis in Empirical Software Engineering: The Case of Missing Data
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Using Nonlinear Quantile Regression for the Estimation of Software Cost
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Software Development Productivity in Different Sourcing Arrangements
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Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects
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Application of mutual information-based sequential feature selection to ISBSG mixed data
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Machine learning techniques for software testing effort prediction
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Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects
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Research patterns and trends in software effort estimation
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Neural networks for predicting the duration of new software projects
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The usage of ISBSG data fields in software effort estimation: A systematic mapping study
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An alternative software benchmarking dataset: effort estimation with machine learning
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Rethinking data selection strategies for more accurate software effort prediction using the ISBSG dataset
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Analysis of factors of software development effort and productivity
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Software Cost Attributes in Global Software Development Projects
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Performance Calculation and Benchmarking using the ISBSG Dataset Release 12 Data Repository: Empirical Study
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