• DocumentCode
    3275678
  • Title

    A systematic approach for web engineering practices by integrating data mining technique with requirement change management

  • Author

    Naz, Humera ; Motla, Yasir Hafeez ; Asghar, S. ; Ahmed, Mariwan ; Shabbir Hassan, M. ; Mukhtar, Mohsin ; Javed, Azhar

  • Author_Institution
    Univ. Inst. of Inf. Technol., Arid Agric. Univ., Rawalpindi, Pakistan
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    373
  • Lastpage
    376
  • Abstract
    Web engineering practices are used to build Web based software developments. To successfully develop web based application developers need a systematic model. To manage the changes in requirements is a challenging task for Web application development. We presents a model for improved version of web engineering practice using Data Mining technique along with the effective usage of requirement change management. Structured and semi structured research methods are used to interview as reputed organization experts. Control experiment is also used for evaluating the Data Mining technique with requirement change management. This model improves the existing web development practices using AI technique. Expert´s reviews are used to evaluate this study. The model provides a guideline to the team of developers for developing any web based application.
  • Keywords
    Internet; data mining; software engineering; AI technique; Web application development; Web based software developments; Web engineering systematic approach; data mining technique integration; requirement change management; semistructured research method; structured research method; Artificial Intelligence; Case Based Reasoning; Requirement Change Management; Web Engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4673-4997-0
  • Type

    conf

  • DOI
    10.1109/ICSESS.2013.6615327
  • Filename
    6615327