Incremental Execution of Rule-based Model Transformation: Using Dependency Injection and Standardized Model Changes
- Submitting institution
-
The University of Leicester
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2177
- Type
- D - Journal article
- DOI
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10.1007/s10009-020-00583-y
- Title of journal
- International Journal on Software Tools for Technology Transfer
- Article number
- -
- First page
- .
- Volume
- (Online First)
- Issue
- -
- ISSN
- 0945-8115
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2020
- URL
-
-
- Supplementary information
-
https://doi.org/10.1007/s10009-020-00583-y
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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0
- Research group(s)
-
-
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In special issue of STTT (a leading journal in technology transfer) devoted to the seven best publications at FASE'19. Model transformation is used to automate the building, modification, analysis, or synchronization of software engineering models. We provide a step-change in the performance of model transformations, paving the way for their use on models of the size and complexity seen in industry. This work has led to the most scalable award from the 2018 Tool Transformation Contest (TTC) and to the best performance award from TTC 2019. Fritsche et al. (STTT'2020) use an optimization technique similar to ours.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -