The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The next release problem
Abstract
Companies developing and maintaining complex software systems need to determine the features that should be added to their system as part of the next release. They will wish to select these features to ensure the demands of their client base are satisfied as much as possible while at the same time ensuring that they themselves have the resources to undertake the necessary development. This situation is modelled in this paper and the problem of selecting an optimal next release is shown to be NP-hard. The use of various modern heuristics to find a high quality but possibly suboptimal solution is described. Comparative studies of these heuristics are given for various test cases.
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Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Metadata
- Authors
- Bagnall, A. J., Rayward-Smith, V. J., & Whittley, I. M.
- Venue
- Information and Software Technology
- Publisher
- Elsevier BV
- Published
- 2001-12
- Volume
- 43
- Issue
- 14
- Pages
- 883-890
- ISSN
- 0950-5849 (ISSN-L)
- OpenAlex
- W2012007091
- Cited by
- 311
- References
- 1
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- closed
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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.