The DOI matches its Crossref record.
How software process improvement helped Motorola
Abstract
Many organizations are using or considering the Capability Maturity Model as a vehicle for software process improvement. But does the CMM provide real benefits? The authors offer metrics and data that show the results of Motorola's CMM usage.
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Cited by
Organizational impact of system quality, information quality, and service quality
Gorla, N., Somers, T. M., & Wong, B. (2010) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2010.05.001 · Cited by 965
Using grounded theory to study the experience of software development
Adolph, S., Hall, W., & Kruchten, P. (2011) · Empirical Software Engineering · doi:10.1007/s10664-010-9152-6 · Cited by 235
Reconciling perspectives: A grounded theory of how people manage the process of software development
Adolph, S., Kruchten, P., & Hall, W. (2012) · Journal of Systems and Software · doi:10.1016/j.jss.2012.01.059 · Cited by 103
Using experience sampling to link software repositories with emotions and work well-being
Kuutila, M., Mäntylä, M. V., Claes, M., Elovainio, M., & Adams, B. (2018) · Proceedings of the 12th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement · doi:10.1145/3239235.3239245 · Cited by 28
Metadata
- Authors
- Diaz, M., & Sligo, J.
- Venue
- IEEE Software
- Published
- 1997
- Volume
- 14
- Issue
- 5
- Pages
- 75-81
- ISSN
- 0740-7459 (ISSN-L)
- OpenAlex
- W1966433245
- Cited by
- 255
- References
- 0
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: How software process improvement helped Motorola. https://app.cochat.ai/papers/10.1109/52.605934
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- Diaz, M., & Sligo, J. (1997). How software process improvement helped Motorola. IEEE Software. https://doi.org/10.1109/52.605934
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.