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- W2497767303 abstract "The most critical problem facing the developers and maintainers of large software systems is overwhelming complexity. Abstraction is a mechanism that limits details that must be considered to those that are most relevant. Abstraction is a powerful tool for dealing with complexity. Programming languages have evolved to provide high level constructs called modules, classes, clusters, or packages. These constructs support abstraction by allowing the encapsulation of details and enforcing information hiding. Programs written in these languages should be designed to use these constructs to produce programs that are easy to understand, modify, and test. Specific guidelines are needed for users of these programming languages and for managers who control and monitor the development and maintenance processes. This research involved the creation of guidelines for cohesion and coupling that served as the basis for metrics for information hiding at the module level. The relationship between the information hiding metrics and the maintainability of programs written in modular programming languages was examined. Three approaches were used: subjective validation with expert opinion, experiments involving maintenance assignments on programs written in Ada, and a case study involving releases of a large Ada program." @default.
- W2497767303 created "2016-08-23" @default.
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- W2497767303 date "1992-01-01" @default.
- W2497767303 modified "2023-09-27" @default.
- W2497767303 title "Information hiding metrics for modular programming languages" @default.
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