The DOI matches its Crossref record.
N degrees of separation: multi-dimensional separation of concerns
Open accessAbstract
Done well, separation of concerns can provide many software engineering benefits, including reduced complexity, improved reusability, and simpler evolution.The choice of boundaries for separate concerns depends on both requirements on the system and on the kind(s) of decompositionand composition a given formalism supports.The predominant methodologies and formalisms available, however, support only orthogonal separations of concerns, along sdngle dimensions of composition and decomposition.These characteristics lead to a number of well-known and difficult problems.This paper describes a new paradigm for modeling and implementing software artifacts, one that permits separation of overlapping concerns along multiple dimensions of composition and decomposition.This approach addresses numerous problems throughout the software lifecycle in achieving wellengineered, evolvable, flexible software artifacts and traceability across artifacts.
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
Kiczales, G., Hilsdale, E., Hugunin, J., Kersten, M., Palm, J., & Griswold, W. G. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45337-7_18 · Cited by 2,767
An Empirical Study of RefactoringChallenges and Benefits at Microsoft
Kim, M., Zimmermann, T., & Nagappan, N. (2014) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2014.2318734 · Cited by 231
Understanding understanding source code with functional magnetic resonance imaging
Siegmund, J., Kästner, C., Apel, S., Parnin, C., Bethmann, A., Leich, T., Saake, G., & Brechmann, A. (2014) · Proceedings of the 36th International Conference on Software Engineering · doi:10.1145/2568225.2568252 · Cited by 219
A systematic review of comparative evidence of aspect-oriented programming
Ali, M. S., Ali Babar, M., Chen, L., & Stol, K.-J. (2010) · Information and Software Technology · doi:10.1016/j.infsof.2010.05.003 · Cited by 89
The Emergent Structure of Development Tasks
Murphy, G. C., Kersten, M., Robillard, M. P., & Čubranić, D. (2005) · Lecture Notes in Computer Science · doi:10.1007/11531142_2 · Cited by 69
Metadata
- Authors
- Tarr, P., Ossher, H., Harrison, W., & Sutton, S. M.
- Venue
- Proceedings of the 21st international conference on Software engineering
- Publisher
- ACM
- Published
- 1999-05-16
- Pages
- 107-119
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W1991604845
- Cited by
- 1,245
- References
- 0
- FWCI
- 42.73
- Type
- conference paper
- Language
- en
- Open access
- bronze
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: N degrees of separation: multi-dimensional separation of concerns. https://app.cochat.ai/papers/10.1145/302405.302457
- The paper
- Tarr, P., Ossher, H., Harrison, W., & Sutton, S. M. (1999). N degrees of separation: multi-dimensional separation of concerns. Proceedings of the 21st international conference on Software engineering. https://doi.org/10.1145/302405.302457
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.
