The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Metrics and laws of software evolution-the nineties view
Abstract
The process of E-type software development and evolution has proven most difficult to improve, possibly due to the fact that the process is a multi-input, multi-output system involving feedback at many levels. This observation, first recorded in the early 1970s during an extended study of OS/360 evolution, was recently captured in a FEAST (Feedback, Evolution And Software Technology) hypothesis: a hypothesis being studied in on-going two-year project, FEAST/1. Preliminary conclusions based on a study of a financial transaction system-Logica's Fastwire (FW)-are outlined and compared with those reached during the earlier OS/360 study. The new analysis supports, or better does not contradict, the laws of software evolution, suggesting that the 1970s approach to metric analysis of software evolution is still relevant today. It is hoped that FEAST/1 will provide a foundation for mastering the feedback aspects of the software evolution process, opening up new paths for process modelling and improvement.
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Cites
Time Series Analysis: Forecasting and Control
Geurts, M., Box, G. E. P., & Jenkins, G. M. (1977) · Journal of Marketing Research · doi:10.2307/3150485 · Cited by 19,186
Time Series Analysis, Forecasting and Control.
Kendall, M. G., Box, G. E. P., & Jenkins, G. M. (1971) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344246 · Cited by 2,771
Software Metrics: A Rigorous and Practical Approach
Fenton, N., & Pfleeger, S. L. (2013) · Cited by 2,509
Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I
Gödel, K. (1931) · Monatshefte für Mathematik und Physik · doi:10.1007/bf01700692 · Cited by 2,395 · cited 1×
“This is of course mathematically intractable posing a fundamental ultimate obstacle to the investigation [ god31 , leh85].”
BackgroundÜber formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I
Gödel, K. (2006) · Monatshefte für Mathematik · doi:10.1007/s00605-006-0423-7 · Cited by 2,077
The Statistical Analysis of Series of Events.
Huitson, A., Cox, D. R., & Lewis, P. A. W. (1966) · The Statistician · doi:10.2307/2986878 · Cited by 1,884
The Statistical Analysis of Series of Events
Cox, D. R., & Lewis, P. A. W. (1966) · Springer eBooks · doi:10.1007/978-94-011-7801-3 · Cited by 1,460
Programs, life cycles, and laws of software evolution
Lehman, M. M. (1980) · Proceedings of the IEEE · doi:10.1109/proc.1980.11805 · Cited by 1,181
Self-citationMeasuring application development productivity
Albrecht, A. (1979) · Medical Entomology and Zoology · Cited by 1,119
A discipline for software engineering
(1995) · Control Engineering Practice · doi:10.1016/0967-0661(95)90062-4 · Cited by 1,018
Cited by
(2005) · Cited by 70
On the Relationship between Program Evolution and Fault-Proneness: An Empirical Study
Jaafar, F., Hassaine, S., Gueheneuc, Y., Hamel, S., & Adams, B. (2013) · 2013 17th European Conference on Software Maintenance and Reengineering · doi:10.1109/csmr.2013.12 · Cited by 5
Metadata
- Authors
- Lehman, M. M., Ramil, J. F., Wernick, P. D., Perry, D. E., & Turski, W. M.
- Venue
- Proceedings Fourth International Software Metrics Symposium
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-22
- Pages
- 20-32
- OpenAlex
- W2159682002
- Cited by
- 561
- References
- 27
- FWCI
- 24.24
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Lehman, M. M., Ramil, J. F., Wernick, P. D., Perry, D. E., & Turski, W. M. (2002). Metrics and laws of software evolution-the nineties view. Proceedings Fourth International Software Metrics Symposium. https://doi.org/10.1109/metric.1997.637156
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