Assessment for Spreadsheets

Spreadsheets are tools to model personal, business and scientific data and to support decision-making based on such models. Moreover, spreadsheets are used for communicating data, models, and decisions, which makes the interpretability of spreadsheet intents an important consideration in the design of spreadsheet interaction. In this paper we will focus on the problem of model assessment, i.e., the process of passing judgements on a situation based on modeled spreadsheet data, for instance, the development of profit over time represented in a controlling spreadsheet. We introduce a framework for specifying, documenting and personalizing assessments semi-formally and a set of plugins for the Semantic Alliance Architecture that can visualize assessments to assist the (spreadsheet) user in her decision-making.