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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| Online-Zugang: | https://arxiv.org/abs/2505.23296 |
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| _version_ | 1866909626969096192 |
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| author | Heltweg, Philip Riehle, Dirk Schwarz, Georg-Daniel |
| author_facet | Heltweg, Philip Riehle, Dirk Schwarz, Georg-Daniel |
| contents | Selecting a subset of cells is a common task in data engineering, for example, to remove errors or select only specific parts of a table. Multiple approaches to express this selection exist. One option is numeric indexing, commonly found in general programming languages, where a tuple of numbers identifies the cell. Alternatively, the separate dimensions can be referred to using different enumeration schemes like "A1" for the first cell, commonly found in software such as spreadsheet systems.
In a large-scale controlled experiment with student participants as proxy for data practitioners, we compare the two options with respect to speed and correctness of reading and writing code.
The results show that, when reading code, participants make less mistakes using spreadsheet-style syntax. Additionally, when writing code, they make fewer mistakes and are faster when using spreadsheet syntax compared to numeric syntax.
From this, a domain-specific syntax, such as spreadsheet syntax for data engineering, appears to be a promising alternative to explore in future tools to support practitioners without a software engineering background. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_23296 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Is spreadsheet syntax better than numeric indexing for cell selection? Heltweg, Philip Riehle, Dirk Schwarz, Georg-Daniel Programming Languages Selecting a subset of cells is a common task in data engineering, for example, to remove errors or select only specific parts of a table. Multiple approaches to express this selection exist. One option is numeric indexing, commonly found in general programming languages, where a tuple of numbers identifies the cell. Alternatively, the separate dimensions can be referred to using different enumeration schemes like "A1" for the first cell, commonly found in software such as spreadsheet systems. In a large-scale controlled experiment with student participants as proxy for data practitioners, we compare the two options with respect to speed and correctness of reading and writing code. The results show that, when reading code, participants make less mistakes using spreadsheet-style syntax. Additionally, when writing code, they make fewer mistakes and are faster when using spreadsheet syntax compared to numeric syntax. From this, a domain-specific syntax, such as spreadsheet syntax for data engineering, appears to be a promising alternative to explore in future tools to support practitioners without a software engineering background. |
| title | Is spreadsheet syntax better than numeric indexing for cell selection? |
| topic | Programming Languages |
| url | https://arxiv.org/abs/2505.23296 |