References of Configuration_Structures

    CPP Denotational Semantics and its Application to Software Maintenance, Jean-Marie Favre
    @InProceedings{	  favre:cpp,
      author	= {Jean-Marie Favre},
      title		= {CPP Denotational Semantics and its Application to Software
    		  Maintenance},
      booktitle	= {1st  European Conference on Software Maintenance and
    		  Reengineering 97},
      month		= mar,
      year		= {1997},
      publisher	= {IEEE Computer Society Press},
      abstract	= {Very often, portability of large software products is
    		  achieved via the empirical use of old tools like CPP, the
    		  preprocessor of the C language. Though powerful low level
    		  features like conditional compilation cause serious
    		  maintenance problems. There is a lack of adequate tools to
    		  support such activities. This paper presents our approach
    		  to this problem. We introduce APP, an abstract language
    		  semantically equivalent to CPP but based on traditional
    		  programming-in-the-small concepts. A rigorous description
    		  of the semantics of this language makes it possible to
    		  develop reliable reverse engineering tools. },
      class		= {Software_Reverse_Engineering, Reverse_Design,
    		  Configuration_Structures}
    }
    
    
    Improved Maintenance Support by Multi-Version Visualizations, Bjorn Gulla
    @InProceedings{	  gulla:improved,
      author	= {Bjorn Gulla},
      title		= {Improved Maintenance Support by Multi-Version
    		  Visualizations},
      pages		= {376-383},
      booktitle	= {Proceedings of the  International Conference on Software
    		  Maintenance ~1992},
      year		= {1992},
      publisher	= {IEEE Computer Society Press},
      month		= nov,
      abstract	= {Software repositories are becoming increasingly more
    		  popular. Multiple versions of software components and
    		  systems and associated information are stored and managed.
    		  Such integrated systems aim for supporting the whole life
    		  cycle, including specification, design, development and
    		  maintenance.
    		  
    		  However, current systems exhibit only limited support for
    		  software maintenance tasks. The main problem is the lack of
    		  powerful and easily accessible user facilities. In this
    		  paper we propose a set of visualization techniques intended
    		  to improve the support for maintenance of large software
    		  systems. The novel contribution is the active use of
    		  version information. We will use the term multi-version
    		  visualization, since visual representation containing
    		  information aggregated from several versions of the
    		  software are computed.},
      class		= {Software_Reverse_Engineering, Reverse_Design,
    		  Configuration_Structures}
    }
    
    
    On the inference of configuration structures from source code, M. Krone and G. Snelting
    @InProceedings{	  krone.snelting:on,
      author	= {M. Krone and G. Snelting},
      title		= {On the inference of configuration structures from source
    		  code},
      pages		= {49--58},
      booktitle	= {Proceedings of the 16th  International Conference on
    		  Software Engineering },
      year		= {1994},
      publisher	= {IEEE Computer Society Press},
      month		= may,
      abstract	= {The authors apply mathematical concept analysis to the
    		  problem of infering configuration structures from existing
    		  source code. Concept analysis has been developed by German
    		  mathematicans over the last years; it can be seen as a
    		  discrete analogon to Fourier analysis. Based on this
    		  theory, the authors' tool will accept source code, where
    		  configuration-specific statements are controlled by the
    		  preprocessor. The algorithm will compute a so-called
    		  concept lattice, which - when visually displayed - allows
    		  remarkable insight into the structure and properties of
    		  possible configurations. The lattice not only displays
    		  fine-grained dependencies between configuration threads,
    		  but also visualizes the overall quality of configuration
    		  structures according to software engineering principles.
    		  The paper presents a short introduction to concept
    		  analysis, as well as experimental results on various
    		  programs. },
      key		= {Concept Analysis},
      class		= {Software_Reverse_Engineering, Reverse_Design,
    		  Configuration_Structures}
    }
    
    
    Reengineering of configurations based on mathematical concept analysis, G. Snelting
    @Article{	  snelting:reengineering,
      author	= {G. Snelting},
      title		= {Reengineering of configurations based on mathematical
    		  concept analysis},
      journal	= {ACM Transactions on Software Engineering and Methodology},
      year		= {1986},
      volume	= {5},
      number	= {2},
      pages		= {146-189},
      month		= {April},
      key		= {Concept Analysis},
      class		= {Configuration_Structures Software_Reverse_Engineering
    		  Reverse_Design }
    }
    

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