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Cognitive complexity as a quantifier of version to version Java-based source code change: An empirical probe
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/smr.1549openalex-snapshot
A suite of metrics for quantifying historical changes to predict future change‐prone classes in object‐oriented software
inferredcites →https://doi.org/10.1002/smr.343openalex-snapshot
The process of software maintenance: a comparison of object‐oriented and third‐generation development languages
inferredcites →https://doi.org/10.1007/11902140_109openalex-snapshot
Modified Cognitive Complexity Measure
inferredcites →https://doi.org/10.1007/978-3-540-85565-1_109openalex-snapshot
A Model for Measuring Cognitive Complexity of Software
inferredcites →https://doi.org/10.1007/s10664-011-9170-zopenalex-snapshot
The ability of object-oriented metrics to predict change-proneness: a meta-analysis
inferredcites →https://doi.org/10.1007/s10664-017-9508-2openalex-snapshot
Evaluating code complexity triggers, use of complexity measures and the influence of code complexity on maintenance time
inferredcites →https://doi.org/10.1007/s13042-012-0095-7openalex-snapshot
Investigation of relationship between object-oriented metrics and change proneness
inferredcites →https://doi.org/10.1016/0164-1212(93)90077-bopenalex-snapshot
Object-oriented metrics that predict maintainability
inferredcites →https://doi.org/10.1016/0950-5849(95)91491-hopenalex-snapshot
A conceptual model of cognitive complexity of elements of the programming process
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1016/j.bjoms.2007.09.002openalex-snapshot
Which is the correct statistical test to use?
inferredcites →https://doi.org/10.1016/j.jss.2007.12.794openalex-snapshot
The effectiveness of software metrics in identifying error-prone classes in post-release software evolution process
inferredcites →https://doi.org/10.1016/s0164-1212(98)10019-5openalex-snapshot
How well do experienced software developers predict software change?
inferredcites →https://doi.org/10.1016/s0164-1212(99)00142-9openalex-snapshot
Coupling measures and change ripples in C++ application software
inferredcites →https://doi.org/10.1016/s0167-6423(02)00058-8openalex-snapshot
A change impact model for changeability assessment in object-oriented software systems
inferredcites →https://doi.org/10.1016/s0950-5849(03)00125-3openalex-snapshot
The impact of cognitive complexity on project leadership performance
inferredcites →https://doi.org/10.1049/iet-sen.2011.0206openalex-snapshot
Framework for evaluation and validation of software complexity measures
inferredcites →https://doi.org/10.1109/32.135774openalex-snapshot
Methodology for validating software metrics
inferredcites →https://doi.org/10.1109/32.295895openalex-snapshot
A metrics suite for object oriented design
inferredcites →https://doi.org/10.1109/coginf.2003.1225955openalex-snapshot
Measurement of the cognitive functional complexity of software
inferredcites →https://doi.org/10.1109/coginf.2004.1327464openalex-snapshot
Evaluating cognitive complexity measure with Weyuker properties
inferredcites →https://doi.org/10.1109/coginf.2006.365702openalex-snapshot
Adopting the Cognitive Complexity Measure for Business Process Models
inferredcites →https://doi.org/10.1109/csie.2009.713openalex-snapshot
Structuring Cognitive Information for Software Complexity Measurement
inferredcites →https://doi.org/10.1109/icgec.2012.145openalex-snapshot
The Study of Plagiarism Detection for Object-Oriented Programming
inferredcites →https://doi.org/10.1109/icse.2004openalex-snapshot
Proceedings. 26th International Conference on Software Engineering
inferredcites →https://doi.org/10.1109/icsm.1999.792645openalex-snapshot
Using coupling measurement for impact analysis in object-oriented systems
inferredcites →https://doi.org/10.1109/icsm.2000openalex-snapshot
Proceedings 2000 International Conference on Software Maintenance
inferredcites →https://doi.org/10.1109/icsm.2007.4362613openalex-snapshot
The Inevitable Stability of Software Change
inferredcites →https://doi.org/10.1109/icsm.2011.6080797openalex-snapshot
Using source code metrics to predict change-prone Java interfaces
inferredcites →https://doi.org/10.1109/icstw.2011.43openalex-snapshot
An Empirical Study on Object-Oriented Metrics and Software Evolution in Order to Reduce Testing Costs by Predicting Change-Prone Classes
inferredcites →https://doi.org/10.1109/isda.2006.128openalex-snapshot
Correlation-based Feature Selection Strategy in Neural Classification
inferredcites →https://doi.org/10.1109/prdc.2004.1276538openalex-snapshot
Proceedings 10th IEEE Pacific Rim International Symposium on Dependable Computing
inferredcites →https://doi.org/10.1109/prdc.2009.54openalex-snapshot
Comparing the Effectiveness of Penetration Testing and Static Code Analysis on the Detection of SQL Injection Vulnerabilities in Web Services
inferredcites →https://doi.org/10.1109/sai.2015.7237246openalex-snapshot
Identifying complex functions: By investigating various aspects of code complexity
inferredcites →https://doi.org/10.1109/tkde.2005.50openalex-snapshot
Using AUC and accuracy in evaluating learning algorithms
inferredcites →https://doi.org/10.1109/tse.1979.234165openalex-snapshot
Measuring the Psychological Complexity of Software Maintenance Tasks with the Halstead and McCabe Metrics
inferredcites →https://doi.org/10.1109/tse.2005.72openalex-snapshot
Mining version histories to guide software changes
inferredcites →https://doi.org/10.1109/tse.2005.89openalex-snapshot
Comparing high-change modules and modules with the highest measurement values in two large-scale open-source products
inferredcites →https://doi.org/10.1109/wcre.2013.6671290openalex-snapshot
Towards understanding how developers spend their effort during maintenance activities
inferredcites →https://doi.org/10.1145/1062455.1062492openalex-snapshot
Eliciting design requirements for maintenance-oriented IDEs
inferredcites →https://doi.org/10.1145/1108768.1108775openalex-snapshot
Robustness analysis of cognitive information complexity measure using Weyuker properties
inferredcites →https://doi.org/10.1145/1163514.1163533openalex-snapshot
Improved cognitive information complexity measure
inferredcites →https://doi.org/10.1145/1241572.1241583openalex-snapshot
Validating modified cognitive complexity measure
inferredcites →https://doi.org/10.2307/2581267openalex-snapshot
Regression Diagnostics -- Identifying Influential Data and Sources of Collinearity
inferredcites →https://doi.org/10.3745/jips.04.0013openalex-snapshot
Prediction & Assessment of Change Prone Classes Using Statistical & Machine Learning Techniques
inferredcites →https://doi.org/10.4018/jssci.2009040101openalex-snapshot
Exploring the Cognitive Foundations of Software Engineering
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-58793-2_5openalex-snapshot
Applying Machine Learning in Technical Debt Management: Future Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/978-981-96-8350-5_48openalex-snapshot
An Empirical Analysis on Investigating the Impact of Belief, Desire, Intention, and Commitment on Programmers’ Code Comprehension Proficiency
inferred← citeshttps://doi.org/10.1007/978-981-96-8350-5_55openalex-snapshot
Emotional Dynamics in Software Engineering: A Comprehensive Review of Cognitive Skills and Affective States
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112679openalex-snapshot
Complementarity in software code complexity metrics
inferred← citeshttps://doi.org/10.1109/access.2022.3144743openalex-snapshot
Automatizing Software Cognitive Complexity Reduction
inferred← citeshttps://doi.org/10.1109/tse.2024.3422427openalex-snapshot
Local and Global Explainability for Technical Debt Identification
inferred← citeshttps://doi.org/10.1145/3756681.3757053openalex-snapshot
NRevisit: A Cognitive Behavioral Metric for Code Understandability Assessment
inferred← citeshttps://doi.org/10.29130/dubited.905510openalex-snapshot
Discovering Sequential Source Code Patterns in Software Engineering
inferred← citeshttps://doi.org/10.3389/fnins.2022.1065366openalex-snapshot
On the accuracy of code complexity metrics: A neuroscience-based guideline for improvement
inferred← citeshttps://doi.org/10.3390/app10134624openalex-snapshot
Impact of Historical Software Metric Changes in Predicting Future Maintainability Trends in Open-Source Software Development
inferred← citeshttps://doi.org/10.34231/iuyd.888243openalex-snapshot
Comparison of Flutter and React Native Platforms
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