| Goal | Find routine parameters that based on the name seem to hold truth values. Find parameters that name starts with "is_" or "has_" or "can_" or "on_" and that do not have Boolean type. |
|---|---|
| Notes | The query does not consider objects that are a part of an extension. There could be multiple routines with the same name but with different parameters in the same schema (overloading). Thus, for the unique identification of the routine it is necessary to present also its parameters in addition to the schema name and routine name. |
| Type | Problem detection Each row in the result could represent a flaw in the design |
| Reliability | Medium Medium number of false-positive results |
| License | MIT (opens in new tab) |
| Data Source | INFORMATION_SCHEMA+system catalog |
| SQL Query |
|
Collections
This query belongs to the following collections:
Find problems automatically
Queries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not .
Lexicon bad smells and linguistic antipatterns
Queries made to find the occurrences of lexicon bad smells and linguistic antipatterns
| Name | Description |
|---|---|
| Find problems automatically | Queries, that results point to problems in the database. Each query in the collection produces an initial assessment. However, a human reviewer has the final say as to whether there is a problem or not . |
| Lexicon bad smells and linguistic antipatterns | Queries made to find the occurrences of lexicon bad smells and linguistic antipatterns |
Categories
This query is classified under the following categories:
Boolean data
Queries of this category provide information about truth-values data that is kept in the database.
Data types
Queries of this category provide information about the data types and their usage.
Result quality depends on names
Queries of this category use names (for instance, column names) to try to guess the meaning of a database object. Thus, the goodness of names determines the number of false positive and false negative results.
User-defined routines
Queries of this category provide information about the user-defined routines
| Name | Description |
|---|---|
| Boolean data | Queries of this category provide information about truth-values data that is kept in the database. |
| Data types | Queries of this category provide information about the data types and their usage. |
| Result quality depends on names | Queries of this category use names (for instance, column names) to try to guess the meaning of a database object. Thus, the goodness of names determines the number of false positive and false negative results. |
| User-defined routines | Queries of this category provide information about the user-defined routines |
Further reading and related materials:
| Reference |
|---|
| Linguistic antipattern "D.2 Name suggests boolean but type is not": Arnaoudova, V., Di Penta, M., Antoniol, G., 2016. Linguistic antipatterns: What they are and how developers perceive them. Empirical Software Engineering, 21(1), pp.104-158. |