A Survey Report on Clustering of Software Frameworks

No abstract is available for this paper.

• Publication year

  2017

• Venue

  Unknown venue

• Publication date

  2017-06-30

• Fields of study

  Computer Science

• Identifiers
  DOI 10.23956/ijarcsse/V7I6/0208
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Data Mining Practical Machine Learning Tools And Techniques With Java Implementations

  2016cited by this paper
• Comparative Study of Software Module Clustering Algorithms: Hill-Climbing, MCA and ECA

  2012cited by this paper
• Multi-Objective Approach for Software Module Clustering

  2012cited by this paper
• Software Module Clustering as a Multi-Objective Search Problem

  2011cited by this paper
• Lossless Comparison of Nested Software Decompositions

  2007cited by this paper
• Spectral and meta-heuristic algorithms for software clustering

  2005cited by this paper
• Comparison of clustering algorithms in the context of software evolution

  2005cited by this paper
• Evaluating similarity measures for software decompositions

  2004cited by this paper
• An optimal algorithm for MoJo distance

  2003influential reference
• Assessing the Applicability of Fault-Proneness Models Across Object-Oriented Software Projects

  2002cited by this paper
• Self organizing maps as a tool for software analysis

  2001cited by this paper
• A comparison of abstract data types and objects recovery techniques

  2000cited by this paper
• ACCD: an algorithm for comprehension-driven clustering

  2000influential reference
• On the stability of software clustering algorithms

  2000cited by this paper
• 'Neural-gas' network for vector quantization and its application to time-series prediction

  1993cited by this paper
• Approaches for measuring the stability of clustering methods

  1982cited by this paper

• No citing papers are available for this paper.