Agile Software Development works as the bridge that establishes the path to handle changes in the composite task of Software Development. In this research, we present a hybrid model which has been introduced for evolution of the Agile Software Development Practices by using Artificial Intelligence (AI) technique. The methods we used in this research are published reports, articles and existing case studies. Expert's response method is applied to accomplish the appraisal of this model. This model has resulted in improving the Agile Practices by using the concept of Case Based Reasoning (CBR). The model provides a guideline to the Agile Software Development regarding enhancement of Agile Practices incorporated with CBR.
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.
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