### Table 4. Complexity Metrics

2001

"... In PAGE 9: ...061 + 0.00895 * SizeCFSU Table4 - Prediction Models using Linear and Stepwise Regression The metrics used to generate the prediction models were measured on a ratio scale. In relation to Length, both prediction models included Page Count and Total Reused Code Length.... In PAGE 10: ... Connectivity presented the best statistical correlation with effort, when compared to Connectivity Density and Cyclomatic Complexity. As shown in Table4 , both regression models for Complexity included Connectivity only. In relation to functionality, both prediction models included SizeCFSU.... ..."

Cited by 9

### Table 3 - Complexity Metrics

2001

Cited by 7

### Table II. Complexity Metrics for Matchers

2004

Cited by 2

### Table 1 - Size and Complexity Metrics

"... In PAGE 3: ...1: Dataset Description The analysis presented in this paper was based on a dataset containing information from 37 Web hypermedia applications developed by postgraduate students. Each Web hypermedia application provided 46 variables [3], from which we identified 8 (see Table1 ), to characterise a Web hypermedia application and its development process. These form a basis for our data analysis.... ..."

### TABLE 1 Software complexity metrics.

in UBIQUITOUS SYSTEM SOFTWARE Automatic Partitioning for Prototyping Ubiquitous Computing Applications

### Table 3: Interval Measurement Chart of Product Options.

"... In PAGE 11: ... For each objective, the remaining options are now ranked, scaling o the base point in proportion to the deviation of the metric. The results are shown in Table3 . For example, on the cleanliness objective, the backstop length adjustment option allows for more contaminants to enter the product, and so is assigned a (?).... In PAGE 11: ... quot; To do this when using the maximum impact normalization, multiply each value by the maximum allowed e ect, and divide by the di erence between the highest and lowest score. For example, the third row in Table3 is multiplied by 2 0 ? ?4 to give the values in the third row of Table 5. The complete modulated results for the entire evaluation are shown in Table 5.... In PAGE 18: ... Similarly, with QFD and small sample sizes, the customer requirement importance factors can be determined with this question. Notice that this implies that importance ratings can only be constructed after the individual ratings are completed ( Table3 ), so that units of each objective are determined. 4.... ..."

### Table 2. complexity metrics for software and BPM

2006

"... In PAGE 9: ... This metric can be used in the same way for analyzing BPMs: If a sub- model of a BPM has a high structural complexity according to the fan-in/fan-out metric, they will be difficult to use and are most likely poorly designed. 7 Conclusion and Directions for Future Research Table2 summarizes the results from the past chapters: Metrics for measuring the complexity of software are compared with corresponding metrics for business process models. Also, we assess the significance of these metrics for BPM.... ..."

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