Authors : J. Brindha and V. Vijayakumar
Abstract: The utilization of Web GIS has encountered a sensational resurgence over the previous decade while the question arranged models end up plainly essential in light of the fact that the social database displaying can’t store spatial information. Expandingunpredictability of programming is specifically web GIS posture new prerequisites on the nature of programming items. Quality estimation for protest arranged programming Web GIS turns out to be vital to guarantee the nature of Web GIS in the long haul. There are as of now many looks into that talk about protest arranged programming quality, yet no examines as of now concentrate on the quality estimation for question situated programming Web GIS. This exploration contributes in term of how to assess the nature of Web GIS utilizing object learning improvement technique in view of ISO 25010 by connecting the attributes of Web GIS and protest arranged with eight particular quality variable of ISO 25010. Objective Question-Metrics (OQM) is utilized to describe the measurements. The last aftereffect of this exploration is a quality estimation strategy for Web GIS utilizing object learning advancement in view of ISO 25010. This examination plans to propose a reference for engineers to enhance nature of Web GIS utilizing object-learning programming technique.
J. Brindha and V. Vijayakumar, 2017. Using Object Leaning Improvement in Superiority Measurement for Web GIS. Journal of Engineering and Applied Sciences, 12: 6749-6751.