Lecture-21

# Lecture-21 - CEN4021 CEN4021 Monitoring(POMA Analysis and...

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CEN 4021  CEN 4021   Software Engineering II  Software Engineering II Instructor: Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/ [email protected] Monitoring (PO M A) Analysis and Evaluation of Information

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21 Lecture CEN 4021: Software Engineering II Acknowledgements Acknowledgements Dr. Onyeka Ezenwoye Dr. Peter Clarke 2
21 Lecture CEN 4021: Software Engineering II Agenda Agenda Monitoring (PO M A) Analysis and Evaluation of Information

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21 Lecture CEN 4021: Software Engineering II Analysis and Evaluation of Information Analysis and Evaluation of Information Any data collected must be reliable , accurate and valid . Reliable data – Data that are collected and recorded according to the defined rules of measurement and metric . Accurate data – Data that are collected and tabulated according to the defined level of precision of measurement and metric. Valid data – Data that are collected, tabulated, and applied according to the defined intention of applying the measurement.
21 Lecture CEN 4021: Software Engineering II Analysis and Evaluation cont Analysis and Evaluation cont The level of data accuracy includes rounding and specifying the number of significant figures. Validity addresses the applicability of the data to assess the particular issue or to measure the particular attribute .

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21 Lecture CEN 4021: Software Engineering II Analysis and Evaluation cont Analysis and Evaluation cont Consider the following computed measurement of average problem level: Avg. problem level = [SUM(# of severity k problems x severity k) / n] Where: n = total # of problems found SUM = the summation function k = a discrete value between 1 and 4 2 < 2.7 > 3 (2.7 can be rounded up to 3)
21 Lecture

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