Requirements Engineering For Distraction-Free Software : Systematic Literature Review and Survey

Abstract: Context and Motivation: Technology play a vital role in the people’s present life. These technology has different types of softwares and devices. Now a days people mostly live around the digital devices and involve with them. These softwares when using causes digital distraction. Mostly digital distraction occurs only when using digital devices. For the development of software and devices requirements play a major role in the development in an organization. Question/Problem: The requirements are developed into the features of software. These features when using can cause distraction. So to manage these digital distraction causing by the software, we considered requirements engineering, by introducing the requirements engineering process at the beginning of the development of software, so to develop a distraction-free software. This can be helpful for the developers to develop the distraction-free software from early stages for the user. Principal Ideas/Objectives: Our thesis mainly focus on the identification of quality factors requirements contributing to the digital distraction and analyse them and we also tried to identify feature usage and user experience of software to identify distraction of software and a mind-map is designed for the study of digital distraction. So that these can provide useful information for future studies. Methods/Contributions: In our thesis study, we conducted Systematic Literature Review using snowballing process for the identification of the literature about the digital distraction and analysed the SLR. Further an online survey is conducted on Instagram users to extract distraction features and reasons for distraction and then we used this data to plan a mind-map of different categories contributing to digital distraction. Results: The main findings and observations in our research are observed through SLR and survey results. For research question 1, the data that is extracted through SLR gives quality factor requirements that contribute to the digital distraction. An understanding of digital distraction among software and feature and also the causes are observed. For the research question 2, the data from the survey is collected from the users of Instagram are observed. The results from the survey are extracted to know about the distraction of software using the feature usage which is extracted from the survey and also the user experience. From these results of SLR and survey data, a mind map is designed to know about the study of the digital distraction. Conclusions: Finally, we come up with a idea by planning mind-map that helps the software developers and requirement engineers to build a distraction-free software. The results of this study can be helpful to all the software developers and also to the ones who want to carry our the research on requirements connection with digital distraction, this can be a start point for them.