The measurement of inheritance metrics and some testing criteria thus can be formed based on the proposed mechanism.doi:10.1016/s0020-0255(96)00154-5Chi-Ming ChungTimothy K. ShihChun-Chia WangInformation SciencesChung C,Shih T,Wang C.Object-Oriented Software Testing and Metrics in Z Specification...
A metric for software readability In this paper, we explore the concept of code readability and investigate its relation to software quality. With data collected from human annotators, we d... RPL Buse,WR Weimer - International Symposium on Software Testing & Analysis 被引量: 153发表: 2008年...
It has been generally accepted in skeletal sex determination that the use of metric methods is limited due to the populationdependence of the multivariate algorithms. The aim of the study was to verify the applicability of software-based sex estimationsoutside the reference population group for which...
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geometric distribution, revealing that in the worst case scenario, the sampling distribution for adaptive random testing is very similar to random testing. Ou... TY Chen,FC Kuo,R Merkel - International Conference on Quality Software 被引量: 61发表: 2004年 Adaptive Random Testing with Enlarged Inp...
We, at Appmetrics Software, are a group of highly qualified and enthusiastic individuals who have been an integral part of the most massive and first roll-out of smart metering in the UK. A reckoning entity in the competitive field of software services and business process outsourcing, our sol...
you don’t observe any statistically significant movements in the metrics. This can occur for one of two reasons: either the change tested doesn’t have an impact on the user, or the change does have an effect but the metrics computed are unable to detect the...
in an A/B test, so that the metric can be properly designed to measure their effect. A good example would be a revenue estimate metric that is computed using the historical averages of revenue made per action type. This metric works well for testing changes where the revenue made per ...
A/B testingis the golden standard to causally measure the impact of any change to the product. As mentioned in the intro, this is even more critical for LLM features, both at launch time as well as subsequent improvements. The metrics we share above are then ...
The questions above are fundamentally hard. There are many approaches an A/B testing team can take to address them. In this blog post, we will describe one of thekey engineering componentsthat we use to address these questions. It has been fourteen years of developing and it...