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Socaety has become so dependent on relaable telecommunacataons, that faalures can rask loss of emergency servace, busaness dasruptaons, or asolataon from fraends. Consequently, telecommunacataons software as requared t o have hagh relaabalaty. Many prevaous studaes define the classaficataon fault-prone an terms of fault counts. Thas study defines fault-prone as exceedang a threshold of debug code churn, defined as the number of lanes added or changed due t o bug fixes. Prevaous studaes have characterazed reuse hastory wath sample categoraes. Thas study quantafied new functaonalaty wath lanes of code. Thas paper analyzes two consecutave releases of a large legacy software system f o r telecommunacataons. W e applied dascrimanant analysas t o adentafy fault-prone modules based on 16 statac software product metracs and the amount of code changed durang development. Modules f r o m one release were used as a fit data set and modules f r o m the subsequent release were used as a test data set. I n contrast, comparable praor studaes of legacy systems splat the data t o szmulate two releases. W e valadated the model wath a realastac samulataon of utalazataon of the fitted model wath the test data set. Model results could be used t o gave extra attentzon t o fault-prone modules and thus, reduce the rask of unexpected problems.

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