mel- model extractor language for extracting facts from models

Authors: Robert Hackman Joanne M. Atlee Alistair Finn Hackett Michael W. Godfrey

Venue: 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems , pp. 200–210, 2020

Year: 2020

Abstract: There is a large body of research on extracting models from code-related artifacts to enable model-based analyses of large software systems. However, engineers do not always have access to the entire code base of a system: some components may be procured from third-party suppliers based on a Model specification or their code may be generated automatically from Models.

BibTeX:

@inproceedings{roberthackman2020mmelfeffm,
    author = "Robert Hackman and Joanne M. Atlee and Alistair Finn Hackett and Michael W. Godfrey",
    title = "mel- model extractor language for extracting facts from models",
    year = "2020",
    pages = "200–210",
    booktitle = "Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and
            Systems
        "
}

Plain Text:

Robert Hackman, Joanne M. Atlee, Alistair Finn Hackett, and Michael W. Godfrey, "mel- model extractor language for extracting facts from models," 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
        , pp. 200–210