Studying the Characteristics of SQL-related Development Tasks: An Empirical Study
Daniel Alencar da Costa, Natalie Grattan, Nigel Stanger, Sherlock A., Licorish

TL;DR
This empirical study analyzes SQL-related development tasks in 20 Apache projects, revealing they take longer, involve more code changes, and require more effort in reviews and documentation, highlighting unique challenges in SQL development.
Contribution
The paper provides the first empirical characterization of SQL development tasks, showing their distinct challenges and requirements compared to non-SQL tasks.
Findings
SQL tasks have longer time-to-completion.
SQL tasks require more code changes.
SQL tasks involve more effort in reviews and documentation.
Abstract
A key function of a software system is its ability to facilitate the manipulation of data, which is often implemented using a flavour of the Structured Query Language (SQL). To develop the data operations of software (i.e, creating, retrieving, updating, and deleting data), developers are required to excel in writing and combining both SQL and application code. The problem is that writing SQL code in itself is already challenging (e.g., SQL anti-patterns are commonplace) and combining SQL with application code (i.e., for SQL development tasks) is even more demanding. Meanwhile, we have little empirical understanding regarding the characteristics of SQL development tasks. Do SQL development tasks typically need more code changes? Do they typically have a longer time-to-completion? Answers to such questions would prepare the community for the potential challenges associated with such…
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Taxonomy
TopicsCloud Computing and Resource Management · Scientific Computing and Data Management · Advanced Database Systems and Queries
