The DOI matches its Crossref record.
Design recovery for maintenance and reuse
Abstract
Software maintenance and harvesting reusable components from software both require that an analyst reconstruct the software's design. Design recovery recreates design abstractions from a combination of code, existing design documentation (if available), personal experience and general knowledge about problem and application domains. The author shows how to extend the automated assistance available to the software engineer for this process. He explains the concept of design recovery, proposes an architecture to implement the concept, illustrates how the architecture operates, describes progress toward implementing it, and compares this work with other similar work such as reverse engineering and program understanding. Much of the discussion is based on a model-based design recovery system called Desire.>
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Cited by
Design science research contributions: Finding a balance between artifact and theory
Georgia State University, Baskerville, R., Baiyere, A., University of Turku, F., Gergor, S., Australian National University, Hevner, A., University of South Florida, Rossi, M., & Aalto University (2018) · Journal of the Association for Information Systems · doi:10.17705/1jais.00495 · Cited by 437
LaSSIE: a knowledge-based software information system
Devanbu, P., Brachman, R., Selfridge, P. G., & Ballard, B. W. (1991) · Communications of the ACM · doi:10.1145/103167.103172 · Cited by 340
A Proposed Taxonomy of Teaching Models in STEM Education: Robotics as an Example
Zhong, B., Liu, X., Xia, L., & Sun, W. (2022) · Sage Open · doi:10.1177/21582440221099525 · Cited by 44
Metadata
- Authors
- Biggerstaff, T. J.
- Venue
- Computer
- Published
- 1989-07
- Volume
- 22
- Issue
- 7
- Pages
- 36-49
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2021481978
- Cited by
- 359
- References
- 0
- FWCI
- 79.35
- 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: Design recovery for maintenance and reuse. https://app.cochat.ai/papers/10.1109/2.30731
- The paper
- Biggerstaff, T. J. (1989). Design recovery for maintenance and reuse. Computer. https://doi.org/10.1109/2.30731
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.
