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Christos Tjortjis: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Christos Tjortjis, Paul J. Layzell
    Expert Maintainers' Strategies and Needs when Understanding Software: A Case Study Approach. [Citation Graph (0, 0)][DBLP]
    APSEC, 2001, pp:281-0 [Conf]
  2. Christos Tjortjis, Georgios A. Dafoulas, Paul J. Layzell, Linda A. Macaulay
    A Model for Selecting CSCW Technologies for Distributed Software Maintenance Teams in Virtual Organisations. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1104-1108 [Conf]
  3. Christos Tjortjis, Nicolas Gold, Paul J. Layzell, Keith H. Bennett
    From System Comprehension to Program Comprehension. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:427-434 [Conf]
  4. Dimitris Rousidis, Christos Tjortjis
    Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study. [Citation Graph (0, 0)][DBLP]
    CSMR, 2005, pp:276-279 [Conf]
  5. James Marchant, Christos Tjortjis, Michael Turega
    A Metric of Confidence in Requirements Gathered from Legacy Systems: Two Industrial Case Studies. [Citation Graph (0, 0)][DBLP]
    CSMR, 2006, pp:355-361 [Conf]
  6. Spiridon C. Denaxas, Christos Tjortjis
    Building a Multi-level Database for Efficient Information Retrieval: A Framework Definition. [Citation Graph (0, 0)][DBLP]
    IASTED Conf. on Software Engineering, 2005, pp:282-286 [Conf]
  7. L. Dong, Christos Tjortjis
    Experiences of Using a Quantitative Approach for Mining Association Rules. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:693-700 [Conf]
  8. Maybin K. Muyeba, M. Sulaiman Khan, Zarrar Malik, Christos Tjortjis
    Towards Healthy Association Rule Mining (HARM): A Fuzzy Quantitative Approach. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:1014-1022 [Conf]
  9. Christos Tjortjis, John Keane
    T3: A Classification Algorithm for Data Mining. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:50-55 [Conf]
  10. Chuan Wang, Christos Tjortjis
    PRICES: An Efficient Algorithm for Mining Association Rules. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2004, pp:352-358 [Conf]
  11. Yiannis Kanellopoulos, Christos Tjortjis
    Data Mining Source Code to Facilitate Program Comprehension: Experiments on Clustering Data Retrieved from C++ Programs. [Citation Graph (0, 0)][DBLP]
    IWPC, 2004, pp:214-225 [Conf]
  12. Christos Tjortjis, Loukas Sinos, Paul J. Layzell
    Facilitating Program Comprehension by Mining Association Rules from Source Code. [Citation Graph (0, 0)][DBLP]
    IWPC, 2003, pp:125-0 [Conf]
  13. Yiannis Kanellopoulos, Christos Makris, Christos Tjortjis
    An improved methodology on information distillation by mining program source code. [Citation Graph (0, 0)][DBLP]
    Data Knowl. Eng., 2007, v:61, n:2, pp:359-383 [Journal]
  14. Yiannis Kanellopoulos, Thimios Dimopulos, Christos Tjortjis, Christos Makris
    Mining source code elements for comprehending object-oriented systems and evaluating their maintainability. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2006, v:8, n:1, pp:33-40 [Journal]

  15. Interpretation of Source Code Clusters in Terms of the ISO/IEC-9126 Maintainability Characteristics. [Citation Graph (, )][DBLP]


  16. Code4Thought Project: Employing the ISO/IEC-9126 Standard for Software Engineering-Product Quality Assessment. [Citation Graph (, )][DBLP]


  17. 3rd International Workshop on Software Quality and Maintainability. [Citation Graph (, )][DBLP]


  18. k-Attractors: A Clustering Algorithm for Software Measurement Data Analysis. [Citation Graph (, )][DBLP]


  19. Agent-Based Digital Networking in Furniture Manufacturing Enterprises. [Citation Graph (, )][DBLP]


  20. Code Quality Evaluation Methodology Using The ISO/IEC 9126 Standard [Citation Graph (, )][DBLP]


  21. Clustering for Monitoring Software Systems Maintainability Evolution. [Citation Graph (, )][DBLP]


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