This paper presents an analysis of the evolution of an open source software system, JFreeChart, which is an open source charting library [1], based on its size, fan-in/out coupling, and cohesion metrics. We developed JamTool, a Java Automated Measurement Tool [4] to obtain the metrics and to observe the quality change along the evolution of the twenty-two released versions of JFreeChart. The empirical study clearly indicates that there are positive relations between the number of classes and the fan-in/out coupling, and the added class group has better software quality than the removed class group. Moreover, the experimental results follow Lehman's 1 st , 2 nd , 6 th laws but against 7 th law of software evolution.

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Wilson's disease (WD), an autosomal recessive disorder of copper transport, is one of the most common inherited metabolic disorders in Korea. Despite its frequency, the incidence and carrier frequency of WD has not yet been estimated in the Korean population. We therefore screened for four major missense mutations (p.Arg778Leu, p.Ala874Val, p.Leu1083Phe, and p.Asn1270Ser) of the ATP7B gene in 476 newborn filter papers by real-time multiplex PCR and melting curve analysis using the SYBR Green intercalator method based on the amplification refractory mutation system test. Newborn filter papers with abnormal melting curves were subjected to subsequent sequence analysis. Three mutated alleles, one p.Arg778Leu and two p.Ala874Val, were detected among the 476 newborn filter papers (952 alleles). The carrier frequency and incidence of WD in the Korean population were determined as 1 in 88.2 and 30,778, respectively, by reversely calculating based on the Hardy-Weinberg law.

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