On the public citation graph

Methods for selecting and improving software clustering algorithms

https://doi.org/10.1002/spe.2147
0 signed · 48 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/smr.4360050402openalex-snapshot
A reverse‐engineering approach to subsystem structure identification
inferredcites →https://doi.org/10.1007/10515.1573-7535openalex-snapshot
Automated Software Engineering
inferredcites →https://doi.org/10.1007/978-3-540-24741-8_9openalex-snapshot
LIMBO: Scalable Clustering of Categorical Data
inferredcites →https://doi.org/10.1016/j.infsof.2006.10.010openalex-snapshot
Clustering large software systems at multiple layers
inferredcites →https://doi.org/10.1109/52.43051openalex-snapshot
Extracting and restructuring the design of large systems
inferredcites →https://doi.org/10.1109/ase.1999.802296openalex-snapshot
Automatic software clustering via Latent Semantic Analysis
inferredcites →https://doi.org/10.1109/cit.2009.111openalex-snapshot
Clustering of Software Systems Using New Hybrid Algorithms
inferredcites →https://doi.org/10.1109/icsm.1990.131315openalex-snapshot
Composing subsystem structures using (k,2)-partite graphs
inferredcites →https://doi.org/10.1109/icsm.2001.972795openalex-snapshot
Comparing the decompositions produced by software clustering algorithms using similarity measurements
inferredcites →https://doi.org/10.1109/icsm.2002.1167741openalex-snapshot
Proceedings International Conference On Software Maintenance ICSM 2002
inferredcites →https://doi.org/10.1109/icsm.2003.1235399openalex-snapshot
Proceedings International Conference on Software Maintenance ICSM 2003
inferredcites →https://doi.org/10.1109/icsm.2005.31openalex-snapshot
Comparison of clustering algorithms in the context of software evolution
inferredcites →https://doi.org/10.1109/mis.2004.1274907openalex-snapshot
Analyzing software measurement data with clustering techniques
inferredcites →https://doi.org/10.1109/ms.1986.234074openalex-snapshot
The Journal of Systems and Software
inferredcites →https://doi.org/10.1109/tse.1985.232524openalex-snapshot
System Structure Analysis: Clustering with Data Bindings
inferredcites →https://doi.org/10.1109/tse.2005.25openalex-snapshot
Information-theoretic software clustering
inferredcites →https://doi.org/10.1109/tse.2010.26openalex-snapshot
Software Module Clustering as a Multi-Objective Search Problem
inferredcites →https://doi.org/10.1109/wcre.1995.514714openalex-snapshot
Toward experimental evaluation of subsystem classification recovery techniques
inferredcites →https://doi.org/10.1109/wcre.1997.624578openalex-snapshot
The Orphan Adoption problem in architecture maintenance
inferredcites →https://doi.org/10.1109/wcre.1999.806959openalex-snapshot
MoJo: a distance metric for software clusterings
inferredcites →https://doi.org/10.1109/wcre.1999.806964openalex-snapshot
Experiments with clustering as a software remodularization method
inferredcites →https://doi.org/10.1109/wcre.2000.891477openalex-snapshot
ACCD: an algorithm for comprehension-driven clustering
inferredcites →https://doi.org/10.1109/wcre.2001.957813openalex-snapshot
CRAFT: a framework for evaluating software clustering results in the absence of benchmark decompositions [Clustering Results Analysis Framework and Tools]
inferredcites →https://doi.org/10.1109/wcre.2003.1287264openalex-snapshot
Software clustering based on information loss minimization
inferredcites →https://doi.org/10.1109/wcre.2004.6openalex-snapshot
A framework for the comparison of nested software decompositions
inferredcites →https://doi.org/10.1109/wpc.2000.852494openalex-snapshot
A framework for experimental evaluation of clustering techniques
inferredcites →https://doi.org/10.1109/wpc.2003.1199206openalex-snapshot
An optimal algorithm for MoJo distance
inferredcites →https://doi.org/10.1109/wpc.2004.1311061openalex-snapshot
An effectiveness measure for software clustering algorithms
inferredcites →https://doi.org/10.1145/1068009.1068184openalex-snapshot
An empirical study of the robustness of two module clustering fitness functions
inferredcites →https://doi.org/10.1145/1409720.1409735openalex-snapshot
Cluster analysis of Java dependency graphs
inferredcites →https://doi.org/10.1145/1858996.1859024openalex-snapshot
A two-step technique for extract class refactoring
inferredcites →https://doi.org/10.1145/222124.222136openalex-snapshot
Software reflexion models
inferredcites →https://doi.org/10.1145/253228.253354openalex-snapshot
Assessing modular structure of legacy code based on mathematical concept analysis
inferredcites →https://doi.org/10.1145/302405.302691openalex-snapshot
Linux as a case study
inferredcites →https://doi.org/10.1145/75199.75223openalex-snapshot
Discovering, visualizing, and controlling software structure
inferredcites →https://doi.org/10.5555/256664.256688openalex-snapshot
An intelligent tool for re-engineering software modularity

What points at this work

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

inferred← citeshttps://doi.org/10.1002/smr.2121openalex-snapshot
Using reverse engineering techniques to infer a system use case model
inferred← citeshttps://doi.org/10.1007/978-3-319-51281-5_31openalex-snapshot
A New Binary Similarity Measure Based on Integration of the Strengths of Existing Measures: Application to Software Clustering
inferred← citeshttps://doi.org/10.1007/s10664-012-9226-8openalex-snapshot
Using structural and semantic measures to improve software modularization
inferred← citeshttps://doi.org/10.1007/s11219-019-09480-3openalex-snapshot
Mining Association Rules from Code (MARC) to support legacy software management
inferred← citeshttps://doi.org/10.1016/j.comcom.2020.12.022openalex-snapshot
Systematic review on next-generation web-based software architecture clustering models
inferred← citeshttps://doi.org/10.1080/02664763.2016.1169256openalex-snapshot
Statistics and recognition for software birthmark based on clustering analysis
inferred← citeshttps://doi.org/10.1109/compsac.2015.256openalex-snapshot
Adaptive Clustering Techniques for Software Components and Architecture
inferred← citeshttps://doi.org/10.1109/icccbda55098.2022.9778877openalex-snapshot
Software Module Clustering Using the Hierarchical Clustering Combination Method
inferred← citeshttps://doi.org/10.1109/inmic.2014.7097351openalex-snapshot
Software modularization using Combination of Multiple Clustering
inferred← citeshttps://doi.org/10.1587/transinf.2014edl8113openalex-snapshot
Split-Jaccard Distance of Hierarchical Decompositions for Software Architecture
inferred← citeshttps://doi.org/10.1631/fitee.1500373openalex-snapshot
Improved binary similarity measures for software modularization
inferred← citeshttps://doi.org/10.5815/ijieeb.2016.02.01openalex-snapshot
Design Migration from Procedural to Object Oriented Paradigm by Clustering Data Call Graph
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.