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User-Driven Applications for Research and Science



User-Driven Applications for Research and Science
User-Driven Applications for Research and Science: Building Programs for Fields with Open Scenarios and Unpredictable User Actions
by Sergey Andreyev

English | 2020 | ISBN: 1484264878 | 527 Pages | PDF EPUB | 25 MB


Over the last couple of decades, there has been an ongoing quandary in the developer world. Developers are enlisted to build applications to meet users' demands; users get applications that meet the criteria from the developers' point of view, but they are far from what the users envisioned. The difference is often wide and nearly catastrophic in fields where users' actions are nearly impossible to predict, such as science, research work, financial analysis, and others. End users get frustrated with the applications because they were not built with their use cases in mind. For a long time, it was assumed that the developers who created the code should drive their programs and be responsible for all scenarios. While generally not an issue in simple programs, this view is wrong for complex applications in the field of science. These end users are the best specialists in their respective fields and need applications to work beyond the scenarios prepared and allowed for by developers.


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