Software projects capture information in artifacts that include production code, test suites, and documentation. Because different artifacts serve different purposes, some artifacts can include redundant information, ...
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ISBN:
(纸本)9781728117645
Software projects capture information in artifacts that include production code, test suites, and documentation. Because different artifacts serve different purposes, some artifacts can include redundant information, encoded in different formats. To mitigate this redundancy, we propose an approach to explicitly encode in unit tests information that will be automatically extracted and added to the documentation of the software. We implemented this approach in the form of an Eclipse plug-in that binds unit tests written with JUnit to the header comments of the tested methods.
Nowadays communities are enabled to write and share their health experiences by Internet media, and a considerable number of experts and general public alike utilize them in the knowledge of medical analysis. Therefor...
详细信息
ISBN:
(纸本)9781479965274
Nowadays communities are enabled to write and share their health experiences by Internet media, and a considerable number of experts and general public alike utilize them in the knowledge of medical analysis. Therefore, there are increasing needs to process some human handwriting in medical environment. This research, we applied the algorithm used to make a documentation extraction of the human handwriting automatically. The documentation category of this paper made for the research is about diabetics disease. We conducted an extraction of documents by using a term frequency - inversed document frequency method and measured the levels of resemblance by using a vector space model. The result of percentage found from 56 human handwritings was 81.818% and the unsuitable was 18.181%.
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