The DOI matches its Crossref record.
The Mobius framework and its implementation
Abstract
The Mobius framework is an environment for supporting multiple modeling formalisms and solution techniques. Models expressed in formalisms that are compatible with the framework are translated into equivalent models using Mobius framework components. This translation preserves the structure of the models, allowing efficient solutions. The framework is implemented in the tool by a well-defined abstract functional interface. Models and solution techniques interact with one another through the use of the standard interface, allowing them to interact with Mobius framework components, not formalism components. This permits novel combinations of modeling techniques, and will be a catalyst for new research in modeling techniques. This paper describes our approach, focusing on the "atomic model". We describe the formal description of the Mobius components as well as their implementations in our software tool.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A review of cyber security risk assessment methods for SCADA systems
Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., & Stoddart, K. (2016) · Computers & Security · doi:10.1016/j.cose.2015.09.009 · Cited by 606
“The tool, which is built upon the existing modelling tool Möbius ( Deavours et al., 2002), automates input of system and adversary data, and the generation of executable models.”
MethodModel-based Security Metrics Using ADversary VIew Security Evaluation (ADVISE)
LeMay, E., Ford, M. D., Keefe, K., Sanders, W. H., & Muehrcke, C. (2011) · 2011 Eighth International Conference on Quantitative Evaluation of SysTems · doi:10.1109/qest.2011.34 · Cited by 128
Self-citation
Metadata
- Authors
- Deavours, D. D., Clark, G., Courtney, T., Daly, D., Derisavi, S., Doyle, J. M., Sanders, W. H., & Webster, P. G.
- Venue
- IEEE Transactions on Software Engineering
- Published
- 2002-10
- Volume
- 28
- Issue
- 10
- Pages
- 956-969
- ISSN
- 0098-5589 (ISSN-L)
- OpenAlex
- W2161833190
- Cited by
- 275
- References
- 0
- FWCI
- 52.81
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Mobius framework and its implementation. https://app.cochat.ai/papers/10.1109/tse.2002.1041052
- The paper
- Deavours, D. D., Clark, G., Courtney, T., Daly, D., Derisavi, S., Doyle, J. M., Sanders, W. H., & Webster, P. G. (2002). The Mobius framework and its implementation. IEEE Transactions on Software Engineering. https://doi.org/10.1109/tse.2002.1041052
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
