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A comparative analysis of software architecture recovery techniques

https://doi.org/10.1109/ase.2013.6693106
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What this work says

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

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Architecture Reconstruction
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Software architecture recovery based on pattern matching
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System Structure Analysis: Clustering with Data Bindings
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Information-theoretic software clustering
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On the automatic modularization of software systems using the Bunch tool
inferredcites →https://doi.org/10.1109/tse.2007.70732openalex-snapshot
Hierarchical Clustering for Software Architecture Recovery
inferredcites →https://doi.org/10.1109/tse.2009.19openalex-snapshot
Software Architecture Reconstruction: A Process-Oriented Taxonomy
inferredcites →https://doi.org/10.1109/tse.2010.26openalex-snapshot
Software Module Clustering as a Multi-Objective Search Problem
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ACCD: an algorithm for comprehension-driven clustering
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A Framework for Obtaining the Ground-Truth in Architectural Recovery
inferredcites →https://doi.org/10.1109/wicsa.2001.948429openalex-snapshot
Focus: a light-weight, incremental approach to software architecture recovery and evolution
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The anatomy and physiology of the grid revisited
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Software Framework for Topic Modelling with Large Corpora
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The EM Algorithm and Extensions
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Scikit-learn: Machine Learning in Python
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Obtaining ground-truth software architectures
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An intelligent tool for re-engineering software modularity
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Latent dirichlet allocation
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation

What points at this work

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

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Code anomalies flock together
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CLUE: Customizing clustering techniques using machine learning for software modularization
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Microservice Decomposition Techniques: An Independent Tool Comparison
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From Triumph to Uncertainty: The Journey of Software Engineering in the AI Era
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Semantic-Enhanced Automatic Refinement of Architecture Recovery Results Using LLMs
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SSAR: A Novel Software Architecture Recovery Approach Enhancing Accuracy and Scalability
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Scaling Software Architecture Data: A Vision for Leveraging Architecture Recovery on Open-Source Projects
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GAER: Graph Auto-encoders for Unsupervised Software Architecture Recovery
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A New Metaheuristic-Based Hierarchical Clustering Algorithm for Software Modularization
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On the identification of design problems in stinky code: experiences and tool support
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Product line architecture recovery with outlier filtering in software families: the Apo-Games case study
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On the relationship of code-anomaly agglomerations and architectural problems
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An Empirical Study of the Interplay between Architecture and Software Quality using Evolutionary History of Software
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Modularizing Legacy System through an Improved Bunch Clustering Method in Cloud Migration
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Uma abordagem para apoio à decisão de refatoração em sistemas de software
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Key classes in object-oriented systems
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Adaptive Weighting of Structural Dependency and Textual Similarity in Software Architecture Recovery
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An incremental software architecture recovery technique driven by code changes
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SYNTHESIS OF CODE ANOMALIES: REVEALING DESIGN PROBLEMS IN THE SOURCE CODE
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GLOBAL-AWARE RECOMMENDATIONS FOR REPAIRING EXCEPTION HANDLING VIOLATIONS
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UNDERSTANDING HOW DEVELOPERS IDENTIFY DESIGN PROBLEMS IN PRACTICE
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ON THE PRIORITIZATION OF DESIGN-RELEVANT SMELLS
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IDENTIFICATION AND REFACTORING OF DESIGN PROBLEMS IN SOFTWARE SYSTEMS
inferred← citeshttps://doi.org/10.17771/pucrio.acad.65736openalex-snapshot
UNVEILING DESIGN PROBLEMS IDENTIFICATION: COMBINING MULTIPLE SYMPTOMS
inferred← citeshttps://doi.org/10.18174/544468openalex-snapshot
Model-driven software architecture conformance analysis
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SIRA: An energy-efficiency and technical debt oriented process for software architecture reconstruction
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Supervised Learning For Orphan Adoption Problem In Software Architecture Recovery
inferred← citeshttps://doi.org/10.25100/iyc.v26i1.12840openalex-snapshot
Ingeniería inversa aplicada en función del contexto
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Understanding software maintenance in the context of software architecture evolution.
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/10.4018/ijismd.297060openalex-snapshot
Software Architecture Recovery Using Integrated Dependencies Based on Structural, Semantic, and Directory Information
inferred← citeshttps://doi.org/10.48550/arxiv.1508.04044openalex-snapshot
Supporting Developers in Porting Software via Combined Textual and Structural Analysis of Software Artifacts
inferred← citeshttps://doi.org/10.48550/arxiv.1704.04798openalex-snapshot
Uncovering Architectural Design Decisions
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The Value of Software Architecture Recovery for Maintenance
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Recovery and Analysis of Architecture Descriptions using Centrality Measures
inferred← citeshttps://doi.org/10.48550/arxiv.2109.00659openalex-snapshot
Semantic Slicing of Architectural Change Commits: Towards Semantic Design Review
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An Analysis System for Mobile Applications MVC Software Architectures
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First-Class Concepts: Reified Architectural Knowledge Beyond Dominant Decompositions.
inferred← citeshttps://doi.org/10.5555/2819009.2819022openalex-snapshot
Comparing software architecture recovery techniques using accurate dependencies
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Clustering Similarity Measures for Architecture Recovery of Evolving Software
inferred← citeshttps://doi.org/10.62036/isd.2022.31openalex-snapshot
On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers?
inferred← citeshttps://doi.org/10.70675/9642586fz9700z41bcz8d19z1026ef18e6acopenalex-snapshot
Support à la rénovation d'une architecture logicielle patrimoniale : un cas réel chez Thales Land and Air Systems
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Reengineering Object Oriented Software Systems for a better Maintainability
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