Towards Evaluating the Quality of a Spreadsheet: The Case of the Analytical Spreadsheet Model

TL;DR

This paper proposes principles and a framework for evaluating the quality of analytical spreadsheet models across various domains, aiming to develop guidelines and checklists for evaluators and developers.

Contribution

It introduces a set of principles and a generalized framework for assessing spreadsheet quality, extending previous work on financial models to broader analytical models.

Findings

Defined principles for evaluating spreadsheet quality.

Proposed a framework and terminology for assessment.

Extended evaluation guidelines beyond financial models.

Abstract

We consider the challenge of creating guidelines to evaluate the quality of a spreadsheet model. We suggest four principles. First, state the domain-the spreadsheets to which the guidelines apply. Second, distinguish between the process by which a spreadsheet is constructed from the resulting spreadsheet artifact. Third, guidelines should be written in terms of the artifact, independent of the process. Fourth, the meaning of "quality" must be defined. We illustrate these principles with an example. We define the domain of "analytical spreadsheet models", which are used in business, finance, engineering, and science. We propose for discussion a framework and terminology for evaluating the quality of analytical spreadsheet models. This framework categorizes and generalizes the findings of previous work on the more narrow domain of financial spreadsheet models. We suggest that the ultimate goal is a set of guidelines for an evaluator, and a checklist for a developer.