The DOI matches its Crossref record.
Legacy systems: coping with success
Abstract
Legacy systems may be defined informally as “large software systems that we don't know how to cope with but that are vital to our organization”. Legacy software was written years ago using outdated techniques, yet it continues to do useful work. Migrating and updating this baggage from our past has technical and nontechnical challenges, ranging from justifying the expense in dealing with outside contractors to using program understanding and visualization techniques.
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Citations
Cited by
How do professionals perceive legacy systems and software modernization?
Khadka, R., Batlajery, B. V., Saeidi, A. M., Jansen, S., & Hage, J. (2014) · Proceedings of the 36th International Conference on Software Engineering · doi:10.1145/2568225.2568318 · Cited by 111
Metadata
- Authors
- Bennett, K.
- Venue
- IEEE Software
- Published
- 1995-01
- Volume
- 12
- Issue
- 1
- Pages
- 19-23
- ISSN
- 0740-7459 (ISSN-L)
- 1937-4194
- OpenAlex
- W2092013815
- Cited by
- 290
- References
- 0
- FWCI
- 14.38
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Legacy systems: coping with success. https://app.cochat.ai/papers/10.1109/52.363157
- The paper
- Bennett, K. (1995). Legacy systems: coping with success. IEEE Software. https://doi.org/10.1109/52.363157
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.
