Automated Code Refactoring upon Database-Schema Changes in Web Applications

Modern web applications manipulate a large amount of user data and undergo frequent data-schema changes. These changes bring up a unique refactoring task: updating application code to be consistent with data schema. Previous study and our own investigation show that this type of refactoring is error...

Full description

Saved in:
Bibliographic Details
Published in:IEEE/ACM International Conference on Automated Software Engineering : [proceedings] pp. 1262 - 1265
Main Authors: Xie, Sophie, Yang, Junwen, Lu, Shan
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2021
Subjects:
Codes
correctness
Open source software
Rails
schema change
Static analysis
Task analysis
Tutorials
Visualization
web applications
ISSN:2643-1572
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Modern web applications manipulate a large amount of user data and undergo frequent data-schema changes. These changes bring up a unique refactoring task: updating application code to be consistent with data schema. Previous study and our own investigation show that this type of refactoring is error-prone and time-consuming for developers. This paper presents EvolutionSaver, a static code analysis and transformation tool that automates schema-related code refactoring and consistency checking. EvolutionSaver is implemented as an IDE plugin that works for both Rails and Django applications. The source code of EvolutionSaver is available on Github [1] and the plugin can be downloaded from Visual Studio Marketplace [2], with its tutorial available at https://www.youtube.com/watch?v=qBiMkLFIjbE and DOI 10.5281/zenodo.5276127.
ISSN:2643-1572
DOI:10.1109/ASE51524.2021.9678934