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Assessing effort estimation models for corrective maintenance through empirical studies
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Monitoring and measuring the change-prediction process at different granularity levels: an empirical study
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Robust Regression and Outlier Detection
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Automating the management of software maintenance workflows in a large software enterprise: a case study
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Software Engineering Economics
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Cost models for future software life cycle processes: COCOMO 2.0
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Software engineering metrics and models
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Statistical Computer Performance Evaluation
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Software Cost Estimation: A Review of Models, Process, and Practice
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Assessing the maintenance processes of a software organization: an empirical analysis of a large industrial project
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A comparative study of two software development cost modeling techniques using multi-organizational and company-specific data
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A comparison of techniques for developing predictive models of software metrics
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Understanding Statistical Process Control
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A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
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Classical and Modern Regression With Applications
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Robust Regression and Outlier Detection
inferredcites →https://doi.org/10.1109/2.303623openalex-snapshot
Using metrics to evaluate software system maintainability
inferredcites →https://doi.org/10.1109/2.312036openalex-snapshot
Modeling the relationship between source code complexity and maintenance difficulty
inferredcites →https://doi.org/10.1109/32.135775openalex-snapshot
The detection of fault-prone programs
inferredcites →https://doi.org/10.1109/32.177363openalex-snapshot
A pattern recognition approach for software engineering data analysis
inferredcites →https://doi.org/10.1109/32.403791openalex-snapshot
Experience with the accuracy of software maintenance task effort prediction models
inferredcites →https://doi.org/10.1109/32.799945openalex-snapshot
An empirical approach to studying software evolution
inferredcites →https://doi.org/10.1109/32.799947openalex-snapshot
A controlled experiment to assess the benefits of estimating with analogy and regression models
inferredcites →https://doi.org/10.1109/32.815326openalex-snapshot
A critique of software defect prediction models
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Does code decay? Assessing the evidence from change management data
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An empirical study using task assignment patterns to improve the accuracy of software effort estimation
inferredcites →https://doi.org/10.1109/32.917523openalex-snapshot
A vector-based approach to software size measurement and effort estimation
inferredcites →https://doi.org/10.1109/32.962560openalex-snapshot
Software cost estimation with incomplete data
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Comparing software prediction techniques using simulation
inferredcites →https://doi.org/10.1109/32.988708openalex-snapshot
Estimation and prediction metrics for adaptive maintenance effort of object-oriented systems
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How to staff business-critical maintenance projects
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Predicting maintenance effort with function points
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Two case studies in measuring software maintenance effort
inferredcites →https://doi.org/10.1109/icsm.2001.972734openalex-snapshot
Software renewal process comprehension using dynamic effort estimation
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A decisional framework for legacy system management
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Software complexity and maintenance costs
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A replicated assessment and comparison of common software cost modeling techniques
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Algorithmic cost estimation for software evolution
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Software-Effort Estimation: An Exploratory Study of Expert Performance
inferredcites →https://doi.org/10.2307/1268993openalex-snapshot
Understanding Statistical Process Control
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Classical and Modern Regression With Applications.
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Statistical Analysis With Missing Data
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Kendall's Advanced Theory of Statistics.
inferredcites →https://doi.org/10.2307/2982783openalex-snapshot
Statistical Analysis with Missing Data.
inferredcites →https://doi.org/10.5555/227726.227758openalex-snapshot
Effort estimation using analogy
inferredcites →https://doi.org/10.5555/227726.227834openalex-snapshot
Understanding and predicting the process of software maintenance releases
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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