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Users of enterprise software are multiple, and their requirements are diverse. Often their specifications are masked by mundane details and at times are vague too. Acknowledging these complexities in requirements engineering, the paper proposes a multistage methodological approach based on Apriori algorithm, a data mining technique. It extracts useful information from the given data on the criteria of mutual association and sufficient frequency. The user requirements captured through interviews and brainstorming are pre-processed for eliminating unnecessary stop words and developing a uniform structure of small stories. Mutual association and occurrence of the requirements are represented through association rules and rule metrics, for example, ‘Lift', ‘Support', and ‘Confidence'. The requirements having strong and moderate association are placed in ‘Top Priority List'; those with nominal, weak, or nil association are placed in ‘Low Priority List'. Gap analysis is employed to validate the defined requirements with respect to stakeholders' expectations. The complete and correct lists of requirements significantly influence the client satisfaction, software development process, and its eventual success.

The purpose of this study is to find out the impact of awareness, privacy & safety, cost, convenience, social influence, and habits on the adoption of IoT in Indian banks. The sample size of 467 Indian customers has been taken for the study. The Confirmatory Factor Analysis (CFA) is applied for testing the reliability and validity as well as the suitability of the questionnaire for the research. Moreover, the Structural Equation Modeling (SEM) model is used for testing the hypotheses of the study, both CFA model fit and SEM model indices are found satisfactory in comparison with recommended values. The results reveal that convenience, social influence, privacy & safety, and awareness have a significant impact on the adoption of the internet of things in Indian banks. On the other hand, the results show that cost & habits do not have an influencing impact on the adoption of IoT. The current study is an attempt to examine the adoption of the internet of things in Indian banks. In India, there is a huge scope of application of IoT in different sectors as India is aiming at being a developed country and no doubt, such kind of ABOUT THE AUTHORS

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