How to measure team productivity over time using consistent story sizes?
How do I measure team productivity over time using consistent story sizes?
Is there a metric that can be equated to complexity in laymens terms? [closed]
Closed 10 years ago.
Does it make sense to express reliability as a ratio of number of tests and system failures? [closed]
Closed 9 years ago.
Why in cyclomatic complexity we add 1 for operators within a condition?
I know that basically, CC can be computed as number of decision + 1. In addition, every logical operator in the condition causes CC to increase by 1. But why?
Summarizing time spent on UI tests
I was working with a team on a web-based software. We have written ~70-80 Selenium test for the product. Mainly happy-path tests with some regression ones for bugs reported by users.
Summarizing time spent on UI tests
I was working with a team on a web-based software. We have written ~70-80 Selenium test for the product. Mainly happy-path tests with some regression ones for bugs reported by users.
Summarizing time spent on UI tests
I was working with a team on a web-based software. We have written ~70-80 Selenium test for the product. Mainly happy-path tests with some regression ones for bugs reported by users.
Summarizing time spent on UI tests
I was working with a team on a web-based software. We have written ~70-80 Selenium test for the product. Mainly happy-path tests with some regression ones for bugs reported by users.
What is an appropriate metric for these variables?
For a test suite I have, each test has a failure rate (from 0 to 1), where 1 means it fails every time and 0 means it never fails, and a duration in ms (this is unbounded). I want a metric (I think either multiplication or division) that will capture the knowledge that tests with a low duration have a high value, and tests that have a high failure rate have a high value.
calculate covering metric for evaluating performance of change point detection methods
I want to calculate the covering metric (CM) to evaluate the performance of change point detection methods on data segmentation for 10 realizations using r. To brief CM, let the true change locations τi for i=1,..,k define a partition P of the interval {1,2,…,T} into disjoint sets Si such that Si is the segment {τi−1 + 1,…,τi}. Similarly, the estimated change locations {τ’i} for i=1, k’i gives a partition P’ of
segments S’i. Then the covering metric is defined as
C(P’,P)=(1/T)sum{|S|*max{|SnS’|/|SuS’|},
where, T is the length of the data, n is intersection and u is union.