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• W2110367707 abstract "Regression testing is a major cost driver during software maintenance. An important approach to reduce maintenance costs is therefore to improve software testability The improvement efforts should concentrate on those parts of a software system that cause the most severe problems during testing and maintenance. This paper describes a new approach to testability improvement focusing on system structure. We identify dependencies that are critical for testing, i.e. test-critical dependencies, based on a set of testability metrics. The results of four case studies show that (1) a small subset of the dependencies within a system has an exceedingly high impact on particular testability metrics, (2) conventional coupling metrics are not good predictors of these test-critical dependencies, (3) dependencies automatically identified to be test-critical are good indicators of design that needs improvement." @default.
• W2110367707 created "2016-06-24" @default.
• W2110367707 creator A5076886602 @default.
• W2110367707 date "2003-06-26" @default.
• W2110367707 modified "2023-09-25" @default.
• W2110367707 title "Identifying test-critical dependencies" @default.
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• W2110367707 doi "https://doi.org/10.1109/icsm.2002.1167797" @default.
• W2110367707 hasPublicationYear "2003" @default.
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