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Using Decision Trees to Predict the Certification Result of a Build

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What this work says

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

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Continuous Integration
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On the Criteria to Be Used in Decomposing Systems into Modules
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On the Criteria To Be Used in Decomposing Systems into Modules
inferredcites →https://doi.org/10.1007/bf02249047openalex-snapshot
Measurement and defect modeling for a legacy software system
inferredcites →https://doi.org/10.1080/01621459.1983.10477973openalex-snapshot
Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
inferredcites →https://doi.org/10.1097/00005053-199102000-00025openalex-snapshot
Case Study Research: Design and Methods
inferredcites →https://doi.org/10.1109/2.666844openalex-snapshot
Using process history to predict software quality
inferredcites →https://doi.org/10.1109/32.859533openalex-snapshot
Predicting fault incidence using software change history
inferredcites →https://doi.org/10.1109/52.50773openalex-snapshot
Empirically guided software development using metric-based classification trees
inferredcites →https://doi.org/10.1109/icse.1998.671134openalex-snapshot
Parallel changes in large scale software development: an observational case study
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Supporting software maintenance by mining software update records
inferredcites →https://doi.org/10.1109/issre.1997.630869openalex-snapshot
Building software quality classification trees: approach, experimentation, evaluation
inferredcites →https://doi.org/10.1109/tse.1976.233837openalex-snapshot
A Complexity Measure
inferredcites →https://doi.org/10.1109/wcre.2003.1287243openalex-snapshot
Studying the chaos of code development
inferredcites →https://doi.org/10.1109/wpc.1999.777740openalex-snapshot
Reconstructing ownership architectures to help understand software systems
inferredcites →https://doi.org/10.1142/s0218194099000309openalex-snapshot
DATA MINING FOR PREDICTORS OF SOFTWARE QUALITY
inferredcites →https://doi.org/10.1145/1137983.1138012openalex-snapshot
Predicting defect densities in source code files with decision tree learners
inferredcites →https://doi.org/10.1145/390016.808439openalex-snapshot
The Mythical Man-Month

What points at this work

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

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Identifying and understanding header file hotspots in C/C++ build processes
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A study of build inflation in 30 million CPAN builds on 13 Perl versions and 10 operating systems
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Characterizing and predicting blocking bugs in open source projects
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Why do builds fail?—A conceptual replication study
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Systematic Literature Review on Application of Learning-Based Approaches in Continuous Integration
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TE-TCP-Net: Parallel Transformer-Encoders for Test Case Prioritization
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Understanding Build Errors in Agile Software Development Project-Based Learning
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GHA-BFP: Framework for Automated Build Failure Prediction in GitHub Actions
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Rechecking Recheck Requests in Continuous Integration: An Empirical Study of OpenStack
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Preventing and Repairing Build Breakage
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Why Do Automated Builds Break? An Empirical Study
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Mining Co-change Information to Understand When Build Changes Are Necessary
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Forecasting the Duration of Incremental Build Jobs
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In Industrial Embedded Software, are Some Compilation Errors Easier to Localize and Fix than Others?
inferred← citeshttps://doi.org/10.1109/issre.2016.42openalex-snapshot
Experience Report: An Empirical Study of API Failures in OpenStack Cloud Environments
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A Research on Predicting the Operation Function for the Workflow-Based Knowledge Management Software
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Should I contribute to this discussion?
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Cost-Effective Build Outcome Prediction Using Cascaded Classifiers
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Analyzing the Impact of Social Attributes on Commit Integration Success
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An Empirical Analysis of Build Failures in the Continuous Integration Workflows of Java-Based Open-Source Software
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Could We Predict the Result of a Continuous Integration Build? An Empirical Study
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An Empirical Study of Highly Impactful Bugs in Mozilla Projects
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Modern Release Engineering in a Nutshell -- Why Researchers Should Care
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Predicting Build Co-changes with Source Code Change and Commit Categories
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Learning CI Configuration Correctness for Early Build Feedback
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Supplementary Bug Fixes vs. Re-opened Bugs
inferred← citeshttps://doi.org/10.1109/tse.2019.2897300openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tse.2019.2941880openalex-snapshot
Studying the Impact of Noises in Build Breakage Data
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A Machine Learning Approach to Improve the Detection of CI Skip Commits
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Characterizing and Mitigating Self-Admitted Technical Debt in Build Systems
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The Why, When, What, and How About Predictive Continuous Integration: A Simulation-Based Investigation
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Predicting Re-opened Bugs: A Case Study on the Eclipse Project
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What are the Factors Impacting Build Breakage?
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An Empirical Study on the Cross-Project Predictability of Continuous Integration Outcomes
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Predicting build outcome with developer interaction in Jazz
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Studying the fix-time for bugs in large open source projects
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Understanding and improving software build teams
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Characterizing and predicting blocking bugs in open source projects
inferred← citeshttps://doi.org/10.1145/2642937.2643013openalex-snapshot
Tracing software build processes to uncover license compliance inconsistencies
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Factors impacting rapid releases
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An Empirical Study of Crash-inducing Commits in Mozilla Firefox
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ACONA
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A multi-year analysis of students' build errors in agile software development educational projects
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Noise and heterogeneity in historical build data: an empirical study of Travis CI
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BuildFast
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An Experimental Evaluation of Imbalanced Learning and Time-Series Validation in the Context of CI/CD Prediction
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Continuous test suite failure prediction
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Predicting build outcomes in continuous integration using textual analysis of source code commits
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HybridCISave : A Combined Build and Test Selection Approach in Continuous Integration
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Resource Usage and Optimization Opportunities in Workflows of GitHub Actions
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Accelerating Continuous Integration with Parallel Batch Testing
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Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact
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RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction
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Commit Artifact Preserving Build Prediction
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A Machine Learning Approach for Predicting Nicotine Dependence
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Exploring the utility of artificial intelligence of intrapartum cardiotocography: a systematic review
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Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization
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A Comprehensive Taxonomy for Prediction Models in Software Engineering
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How The Social Construction of Disciplinary Boundaries and Disciplinary Hierarchies Shapes What Computer Science Gets Done
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