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
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;
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-4997-0
DOI :
10.1109/ICSESS.2013.6615327