Indian Journal of Science and Technology
Year: 2017, Volume: 10, Issue: 10, Pages: 1-10
Sasmita Pani1* and Jibitesh Mishra2
1Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar - 751003, Odisha, India; [email protected] 2Department of Computer Science and Application, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar - 751003, Odisha, India; [email protected]
*Author for correspondence
Department of Information Technology, College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar - 751003, Odisha, India; [email protected]
Objectives: This research study provides an analysis model which is used to analyze the requirements of mobile native apps contextually under any domain. Methods/Statistical Analysis: Based on the background study, the research process have taken three research approaches and also have identified various activities which are performed among a native mobile app user and mobile native apps and formed them into questionnaires which are sent to different mobile native app developers of different software industries. This research process has determined the requirements based on four contexts in mobile domain such as device context, mobility contexts, user context and social contexts. Findings: These activities are mapped into attributes and contexts for modeling the requirements under mobile domain and for developing the sub models of the analysis model. Finally the analysis model is built and composed of four sub models. These sub models are content analysis model, interaction analysis model, functional analysis model and configuration analysis model. Application/Improvements: This research study provides the analysis model where the requirements are analyzed in a mobile native app under any domain such as agriculture, learning or healthcare applications. This analysis model is significant as it determines the contexts and models the contexts which are not specified in any frameworks or process models.
Keywords: Configuration Analysis, Content Analysis, Functional Analysis, Interaction Analysis
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