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Metrics for assessing a software system's maintainability
Abstract
It is noted that the factors of software that determine or influence maintainability can be organized into a hierarchical structure of measurable attributes. For each of these attributes the authors show a metric definition consistent with the published definitions of the software characteristic being measured. The result is a tree structure of maintainability metrics which can be used for purposes of evaluating the relative maintainability of the software system. The authors define metrics for measuring the maintainability of a target software system and discuss how those metrics can be combined into a single index of maintainability.>
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Research works printed but not linked: 28
- hagemeister, 1992, HP-SMES Software Maintainability Estimation Spreadsheet
- halstead, 1977, Elements of Software Science
- 0, IEEE Standard Guide for Software Requirements Specifications
- 0, IEEE Standard Dictionary of Measures to Produce Reliable Software
- 1983, IEEE Standard Glossary of Software Engineering Terminology
- 10.1109/TSE.1987.233164 · DOI · Paper page
- kemerer, 1990, Reliability of Function Points Measurement A field experiment
- khoshgoftaar, 1992, An Aggregate Measure of Program Module Complexity, the Fourth Annual Oregon Workshop on Software Metrics
- 10.1109/6.17360 · doi:10.1109/6.17360
- 10.1145/78607.78611 · DOI
- zuse, 1991, Software Complexity Measures and Methods, 10.1515/9783110866087 · DOI · Paper page
- beizer, 1990, Software Testing Techniques
- 10.1109/TSE.1985.232544 · DOI
- 1978, Analysis of software maintainability evaluation process
- boehm, 1981, Software Engineering Economics
- 10.1145/69605.357965 · doi:10.1145/69605.357965
- grady, 1987, Software Metrics Establishing a Company-wide Policy
- emerson, 1984, A Discriminant Metric for Module Cohesion, Proceeding of 7th International Conference on Software Engineering, 294
- 10.1109/TSE.1983.235431 · DOI
- grady, 1992, Practical Software Metrics For Project Management and Process Improvement
- 1989, Software Maintainability Evaluation Guide
- 10.1016/0164-1212(91)90044-7 · doi:10.1016/0164-1212(91)90044-7
- oman, 1992, Construction and Validation of Polynomials for Predicting Software Maintainability
- oman, 0, A Definition and Taxonomy for Software Maintainability
- peercy, 1981, a software maintainability evaluation methodology, IEEE Transactions on Software Engineering, se 7, 343, 10.1109/TSE.1981.234534 · doi:10.1109/tse.1981.234534
- oman, 1992, HP-MAS A Tool for Software Maintainability Assessment
- 10.1109/ICSM.1989.65202 · doi:10.1109/icsm.1989.65202
- pehrson, 1990, CPE Centre Product Entry Process
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“Furthermore, we include the Maintainability Index [37, 38] as a metric, which combines multiple static code metrics, like Cyclomatic Complexity and Halstead Volume [37, 63].”
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Metadata
- Authors
- Oman, P., & Hagemeister, J.
- Venue
- Proceedings Conference on Software Maintenance 1992
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2003-01-02
- Pages
- 337-344
- ISSN
- 1063-6773 (ISSN-L)
- OpenAlex
- W2114728368
- Cited by
- 272
- References
- 0
- FWCI
- 4.58
- Type
- conference paper
- Language
- en
- Open access
- closed
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