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Analyzing and handling local bias for calibrating parametric cost estimation models
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/archneur.1987.00520170006010openalex-snapshot
Regression Toward the Mean?
inferredcites →https://doi.org/10.1007/978-0-387-21736-9openalex-snapshot
All of Statistics: A Concise Course in Statistical Inference
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-3-642-48354-7_5openalex-snapshot
Software Engineering Economics
inferredcites →https://doi.org/10.1007/s10664-011-9182-8openalex-snapshot
On the dataset shift problem in software engineering prediction models
inferredcites →https://doi.org/10.1007/s11219-004-5262-yopenalex-snapshot
Preliminary Data Analysis Methods in Software Estimation
inferredcites →https://doi.org/10.1016/j.infsof.2011.09.002openalex-snapshot
Systematic literature review of machine learning based software development effort estimation models
inferredcites →https://doi.org/10.1016/s0164-1212(02)00160-7openalex-snapshot
Better sure than safe? Over-confidence in judgement based software development effort prediction intervals
inferredcites →https://doi.org/10.1016/s0164-1212(03)00066-9openalex-snapshot
Software effort estimation by analogy and “regression toward the mean”
inferredcites →https://doi.org/10.1016/s0950-5849(00)00153-1openalex-snapshot
A comparative study of two software development cost modeling techniques using multi-organizational and company-specific data
inferredcites →https://doi.org/10.1023/a:1009872202035openalex-snapshot
An Empirical Study of Analogy-based Software Effort Estimation
inferredcites →https://doi.org/10.1109/32.677185openalex-snapshot
A procedure for analyzing unbalanced datasets
inferredcites →https://doi.org/10.1109/32.799958openalex-snapshot
Bayesian analysis of empirical software engineering cost models
inferredcites →https://doi.org/10.1109/icse.1998.671610openalex-snapshot
Calibrating the COCOMO II Post-Architecture model
inferredcites →https://doi.org/10.1109/ms.2006.99openalex-snapshot
Evidence-based cost estimation better-quality for software
inferredcites →https://doi.org/10.1109/tse.2005.128openalex-snapshot
Evidence-based guidelines for assessment of software development cost uncertainty
inferredcites →https://doi.org/10.1109/tse.2006.114openalex-snapshot
Selecting Best Practices for Effort Estimation
inferredcites →https://doi.org/10.1109/tse.2007.1001openalex-snapshot
Cross versus Within-Company Cost Estimation Studies: A Systematic Review
inferredcites →https://doi.org/10.1109/tse.2011.27openalex-snapshot
Exploiting the Essential Assumptions of Analogy-Based Effort Estimation
inferredcites →https://doi.org/10.1111/j.1467-985x.2004.00347_18.xopenalex-snapshot
All of Statistics: A Concise Course in Statistical Inference
inferredcites →https://doi.org/10.1145/1414004.1414015openalex-snapshot
Comparative studies of the model evaluation criterions mmre and pred in software cost estimation research
inferredcites →https://doi.org/10.1145/1414004.1414040openalex-snapshot
A constrained regression technique for cocomo calibration
inferredcites →https://doi.org/10.1145/2020390.2020404openalex-snapshot
Local bias and its impacts on the performance of parametric estimation models
inferredcites →https://doi.org/10.1145/502512.502568openalex-snapshot
A streaming ensemble algorithm (SEA) for large-scale classification
inferredcites →https://doi.org/10.1198/jasa.2004.s339openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.3233/ida-2004-8305openalex-snapshot
Learning drifting concepts: Example selection vs. example weighting
inferredcites →https://doi.org/10.5555/302163.302218openalex-snapshot
Calibrating the COCOMO II post-architecture model
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0080openalex-snapshot
Correcting Sample Selection Bias by Unlabeled Data
inferredcites →https://doi.org/10.7551/mitpress/8996.003.0015openalex-snapshot
The Tradeoffs of Large-Scale Learning
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.2176openalex-snapshot
Investigating the use of duration‐based windows and estimation by analogy for COCOMO
inferred← citeshttps://doi.org/10.1007/978-3-030-46054-9_20-1openalex-snapshot
Engineering Systems Integration, Testing, and Validation
inferred← citeshttps://doi.org/10.1007/978-3-030-46054-9_20-2openalex-snapshot
Engineering Systems Integration, Testing, and Validation
inferred← citeshttps://doi.org/10.1007/978-3-030-81159-4_20openalex-snapshot
Engineering Systems Integration, Testing, and Validation
inferred← citeshttps://doi.org/10.1007/978-3-642-55035-5_3openalex-snapshot
Cost Prediction and Software Project Management
inferred← citeshttps://doi.org/10.1007/s00521-015-2003-zopenalex-snapshot
Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects
inferred← citeshttps://doi.org/10.1007/s10664-016-9469-xopenalex-snapshot
Are delayed issues harder to resolve? Revisiting cost-to-fix of defects throughout the lifecycle
inferred← citeshttps://doi.org/10.1016/b978-0-12-417295-1.00013-8openalex-snapshot
Cross-Company Learning
inferred← citeshttps://doi.org/10.1016/j.asoc.2014.10.033openalex-snapshot
Predictive accuracy comparison between neural networks and statistical regression for development effort of software projects
inferred← citeshttps://doi.org/10.1016/j.infsof.2014.10.005openalex-snapshot
Using Bayesian regression and EM algorithm with missing handling for software effort prediction
inferred← citeshttps://doi.org/10.1016/j.infsof.2017.06.002openalex-snapshot
Research patterns and trends in software effort estimation
inferred← citeshttps://doi.org/10.1016/j.jss.2014.12.002openalex-snapshot
Neural networks for predicting the duration of new software projects
inferred← citeshttps://doi.org/10.1016/j.jss.2018.10.019openalex-snapshot
Determining relevant training data for effort estimation using Window-based COCOMO calibration
inferred← citeshttps://doi.org/10.1109/itng.2015.73openalex-snapshot
A Fuzzy Logic Model for Predicting the Development Schedule of Software Projects
inferred← citeshttps://doi.org/10.1109/nafosted.2017.8108067openalex-snapshot
A k-Nearest Neighbors approach for COCOMO calibration
inferred← citeshttps://doi.org/10.1109/softwaremining.2017.8100851openalex-snapshot
Competition-aware task routing for contest based crowdsourced software development
inferred← citeshttps://doi.org/10.1145/2970276.2970300openalex-snapshot
Local-based active classification of test report to assist crowdsourced testing
inferred← citeshttps://doi.org/10.1145/3185089.3185152openalex-snapshot
Evaluation of Software Quality for Competition-based Software Crowdsourcing Projects
inferred← citeshttps://doi.org/10.21917/ijsc.2015.0149openalex-snapshot
SOFTWARE EFFORT ESTIMATION FRAMEWORK TO IMPROVE ORGANIZATION PRODUCTIVITY USING EMOTION RECOGNITION OF SOFTWARE ENGINEERS IN SPONTANEOUS SPEECH
inferred← citeshttps://doi.org/10.3390/math8101819openalex-snapshot
Particle Swarm Optimization for Predicting the Development Effort of Software Projects
inferred← citeshttps://doi.org/10.9790/0661-162122940openalex-snapshot
Organizational Strategies and Social Interaction Influence in Software Development Effort Estimation
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