Item Infomation


Title: 
Mining domain-specific edit operations from model repositories with applications to semantic lifting of model differences and change profiling
Authors: 
Christof, Tinnes
Timo, Kehrer
Mitchell, Joblin
Issue Date: 
2023
Publisher: 
Springer
Abstract: 
Model transformations are central to model-driven software development. Applications of model transformations include creating models, handling model co-evolution, model merging, and understanding model evolution. In the past, various (semi-)automatic approaches to derive model transformations from meta-models or from examples have been proposed. These approaches require time-consuming handcrafting or the recording of concrete examples, or they are unable to derive complex transformations. We propose a novel unsupervised approach, called OCKHAM, which is able to learn edit operations from model histories in model repositories. OCKHAM is based on the idea that meaningful domain-specific edit operations are the ones that compress the model differences.
Description: 
CC BY
URI: 
https://link.springer.com/article/10.1007/s10515-023-00381-1
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8338
Appears in Collections
OER - Công nghệ thông tin
ABSTRACTS VIEWS

22

FULLTEXT VIEWS

60

Files in This Item: