sano-gakuwa/team1

AI Summary: Verify the functionality of a selection feature, specifically checking for multiple selection using shift key, handling of CSV files up to 1000 entries, and behavior with empty CSV files. Testing requires access to a local CSV file which is currently unavailable.

AI Summary: Refactor the Java CsvConverter class to improve code readability, handle exceptions properly (using try-with-resources), and fix identified bugs. Specific improvements include correcting spelling errors, improving variable naming, in-lining code where appropriate, enhancing logging, preventing infinite recursion in file creation, and modifying the future date validation and selection information output methods.

AI Summary: Refactor the EmployeeUpdater code to improve readability, reduce code duplication, and handle errors more effectively. Specific tasks include converting to try-with-resources, extracting common methods, fixing spelling errors (e.g., ENPLOYEE_CSV), correcting log levels, and improving the structure of validation and deletion methods. The `edit` method needs to be added to the class and reviewed.

AI Summary: Fix a spelling error in the `EMPLOYEE_CSV` variable (line 23) and add author information to the JavaDoc for the stack trace output method (lines 136-141) in the EmployeeManager code.

AI Summary: Refactor the Java code of the EmployeeListOperator class. This involves adding info and error logging, generating JavaDoc, improving variable and method naming (e.g., changing `normalize` to `normalizeInputText`, `s` to `input`, etc.), removing unused imports and variables, and adding an author tag to the SearchCallback method's documentation.