|Title||Product metrics for spreadsheets: A systematic review|
|Authors||Birgit Hofer, Dietmar Jannach, Patrick Koch, Konstantin Schekotihin, & Franz Wotawa|
|Publication||The Journal of Systems & Software|
|Series||Volume 175, May|
Software product metrics allow practitioners to improve their products and to optimize development processes based on quantifiable characteristics of source code. To facilitate similar benefits for spreadsheet programs, researchers proposed various product metrics for spreadsheets over the last decades. However, to our knowledge, no comprehensive overview of those efforts is currently available.
In this paper, we close this gap by conducting a literature review of research works that either inherently or explicitly define product metrics for spreadsheets. We scanned five major digital libraries for scientific papers that define or use spreadsheet product metrics. Based on the identified 37 papers, we created a novel catalog of product metrics for spreadsheets. The catalog can be used by practitioners and researchers as a central reference for spreadsheet product metrics.
In the paper, we (i) describe the proposed metrics in detail, (ii) report how often and for what purposes the metrics are used, (iii) identify significant discrepancies in the naming and definition of the metrics, and (iv) investigate how the appropriateness of the metrics was evaluated.
We defined the following five product metric categories to structure our catalog. Our categorization is based on organizing the metrics in terms of what they measure: