Integrated Software Quality Evaluation: A Fuzzy Multi-Criteria Approach

  • Challa, Jagat Sesh (M.E. Software Systems, Birla Institute of Technology and Science) ;
  • Paul, Arindam (M.E. Software Systems, Birla Institute of Technology and Science) ;
  • Dada, Yogesh (M.E. Software Systems, Birla Institute of Technology and Science) ;
  • Nerella, Venkatesh (M.E. Software Systems, Birla Institute of Technology and Science) ;
  • Srivastava, Praveen Ranjan (Department of Computer Science and Information Systems, Birla Institute of Technology and Science) ;
  • Singh, Ajit Pratap (Department of Civil Engineering, Birla Institute of Technology and Science)
  • Received : 2011.02.23
  • Accepted : 2011.07.30
  • Published : 2011.09.30


Software measurement is a key factor in managing, controlling, and improving the software development processes. Software quality is one of the most important factors for assessing the global competitive position of any software company. Thus the quantification of quality parameters and integrating them into quality models is very essential. Software quality criteria are not very easily measured and quantified. Many attempts have been made to exactly quantify the software quality parameters using various models such as ISO/IEC 9126 Quality Model, Boehm's Model, McCall's model, etc. In this paper an attempt has been made to provide a tool for precisely quantifying software quality factors with the help of quality factors stated in ISO/IEC 9126 model. Due to the unpredictable nature of the software quality attributes, the fuzzy multi criteria approach has been used to evolve the quality of the software.


Software Quality Parameters;ISO/IEC 9126;Fuzzy Software Quality Quantification Tool (FSQQT);Fuzzy Membership Function;Triangular Fuzzy Sets;KLOC;GUI;CUI


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