![]() Additionally, we compare the Squale model to both traditional aggregation techniques (e.g., the arithmetic mean), and to econometric inequality indices (e.g., the Gini or the Theil indices), recently applied to aggregation of software metrics. We empirically validate the adequacy of Squale through experiments on Eclipse. We then present a solution through the Squale model for metric aggregation, a model specifically designed to address the needs of practitioners. At the time that people began using SLOC as a metric, the most commonly used languages, such as FORTRAN and assembler, were line-oriented languages. In this paper we derive, from our experience on real industrial cases and from the scientific literature, requirements for an aggregation method. Advantages Using Sloc Software Metric Examples For example, most software systems reuse code, and determining which (if any) reused code to include is important when reporting a measure. Second, because a software evaluation requires the use of different metrics, with possibly widely varying output ranges, there is a need to combine these results into a unified quality assessment. We have measured the Chrome software architecture in terms of traditional software metrics source lines of code. First, because most software quality metrics are defined at the level of individual software components, there is a need for aggregation methods to summarize the results at the system level. ![]() ![]() With the growing need for quality assessment of entire software systems in the industry, new issues are emerging. ![]()
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