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Empirical Analysis of the Influence of Developer Experience on the Degradation of Software Architecture in Open-Source Development
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Case Study Research in Software Engineering
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Experimentation in Software Engineering
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How changes affect software entropy: an empirical study
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The cathedral and the bazaar
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On the usefulness of ownership metrics in open-source software projects
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Investigating Architectural Technical Debt accumulation and refactoring over time: A multiple-case study
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A survey on software coupling relations and tools
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A systematic mapping study on technical debt and its management
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Software sustainability: Research and practice from a software architecture viewpoint
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Design erosion: problems and causes
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Does code decay? Assessing the evidence from change management data
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Software Architecture Degradation in Open Source Software: A Systematic Literature Review
inferredcites →https://doi.org/10.1109/ase.2017.8115622openalex-extracted
Are developers aware of the architectural impact of their changes?
inferredcites →https://doi.org/10.1109/concapan.2017.8278488openalex-extracted
Refactoring improving the design of existing code
inferredcites →https://doi.org/10.1109/csmr.2009.59openalex-extracted
Identifying Architectural Bad Smells
inferredcites →https://doi.org/10.1109/csmr.2012.35openalex-extracted
On the Relevance of Code Anomalies for Identifying Architecture Degradation Symptoms
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A Comparison of Three Algorithms for Computing Truck Factors
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An Empirical Study of Architectural Decay in Open-Source Software
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Arcan: A Tool for Architectural Smells Detection
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Detecting and Quantifying Architectural Debt: Theory and Practice
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Influence of Developer Factors on Code Quality: A Data Study
inferredcites →https://doi.org/10.1109/qrs.2017.36openalex-extracted
Towards Better Understanding of Software Quality Evolution through Commit-Impact Analysis
inferredcites →https://doi.org/10.1109/seaa.2014.65openalex-extracted
Architecture Technical Debt: Understanding Causes and a Qualitative Model
inferredcites →https://doi.org/10.1109/seaa.2016.18openalex-extracted
Identifying Developers' Expertise in Social Coding Platforms
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Architectural Smells Detected by Tools: a Catalogue Proposal
inferredcites →https://doi.org/10.1109/tse.2021.3060068openalex-extracted
Forecasting Architectural Decay From Evolutionary History
inferredcites →https://doi.org/10.1109/wcre.2013.6671309openalex-extracted
Empirical evidence of code decay: A systematic mapping study
inferredcites →https://doi.org/10.1109/wicsa.2016.15openalex-extracted
Relating Architectural Decay and Sustainability of Software Systems
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The promises and perils of mining GitHub
inferredcites →https://doi.org/10.1145/2745802.2745822openalex-extracted
Software metrics for measuring the understandability of architectural structures
inferredcites →https://doi.org/10.1145/2884781.2884852openalex-extracted
Revisiting code ownership and its relationship with software quality in the scope of modern code review
inferredcites →https://doi.org/10.1145/3120459.3120464openalex-extracted
Who is producing more technical debt?
inferredcites →https://doi.org/10.1145/3194164.3194165openalex-extracted
An exploratory study on the influence of developers in technical debt
inferredcites →https://doi.org/10.1145/3267183.3267192openalex-extracted
Mining Software Repositories to Identify Library Experts
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Metrics to quantify software developer experience
inferredcites →https://doi.org/10.14569/ijacsa.2017.080327openalex-extracted
An Empirical Investigation of the Correlation between Package-Level Cohesion and Maintenance Effort
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Software Architecture Metrics: a literature review
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Toward an understanding of the motivation of open source software developers
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