Intelligent system for determining the sufficiency of metric information in the software requirements specifications

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Abstract

The paper is devoted to the developing the intelligent system for determining the sufficiency of metric information in the software requirements specifications (SRS), which provides on the basis of the natural language processing of SRS: conclusion about the sufficiency of metric information (indicators for metrics calculation) in SRS, numerical assessment of the sufficiency level of metric information in the SRS, visualization of missing indicators for metrics calculation. The developed intelligent system provides an increase in the sufficiency of information by 12.71-50.28% for the SRS of the information and analytical system for the accounting of therapeutic and diagnostic activities provided to the wounded during transportation. In general, the developed system provides an increase in the sufficiency of metric information in the SRS to 100% - if it's necessary (for critical software) or at the customer's request. The developed intelligent system for determining the sufficiency of metric information in the SRS can be used during the software development for government agencies, military formations and law enforcement agencies, commercial organizations (both for organizationsdevelopers of software and for organizations-customers of software).

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Hovorushchenko, T., & Pavlova, O. (2019). Intelligent system for determining the sufficiency of metric information in the software requirements specifications. In CEUR Workshop Proceedings (Vol. 2353, pp. 253–266). CEUR-WS. https://doi.org/10.32782/cmis/2353-20

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