• DocumentCode
    3536058
  • Title

    A Clustered Approach to Analyze the Software Quality Using Software Defects

  • Author

    Dhiman, Puneet ; Manish ; Chawla, Rakesh

  • Author_Institution
    Dept. :-CSE/IT, Lovely Prof. Univ., Phagwara, India
  • fYear
    2012
  • fDate
    7-8 Jan. 2012
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    As the software development begins there also exists the probability of occurrence of some defect in the software system. Software defects plays important role to take the decision about when the testing will be stopped. Software defects are one of the major factors that can decide the time of software delivery. Not only has the number of defects also the type of defect as well the criticality of a software defect affected the software quality. Software cannot be presented with software defects. All the Software Quality estimation approaches like CMM etc. follow the software defects as a parameter to estimate the software quality. The proposed work is also in the same direction. We are trying to categorize the software defects using some clustering approach and then the software defects will be measured in each clustered separately. The proposed system will analyze the software defect respective the software criticality and its integration with software module.
  • Keywords
    integrated software; pattern clustering; software fault tolerance; software quality; clustered approach; parameter estimation; probability; software criticality; software defects; software delivery; software development; software integration; software module; software quality; Algorithm design and analysis; Clustering algorithms; Educational institutions; Inspection; Software quality; Vectors; CMeans; Clustered; Kmeans; Quality; Software Defect;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing & Communication Technologies (ACCT), 2012 Second International Conference on
  • Conference_Location
    Rohtak, Haryana
  • Print_ISBN
    978-1-4673-0471-9
  • Type

    conf

  • DOI
    10.1109/ACCT.2012.1
  • Filename
    6168329