What is it about?

The paper develops the method for forecasting the level of software quality based on quality attributes. So, the proposed method makes it possible to compare the software requirements specifications (SRSs), to immediately refuse the realization of a software based on unsuccessful SRS (saving money and time, reducing the probability of failed and challenged projects), and to make a reasonable choice of the specification for the further implementation of a software with the highest quality (of course, if errors will not be introduced at subsequent stages of the soft-ware life cycle).

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Why is it important?

The developed method differs from the known ones in that it provides forecasting the quality level of future software based on the processing the software quality attributes' values, which are available in the software requirements specification (SRS).


The directions of future research of the authors will be the design and implementation of software quality prediction technology based on quality at-tributes, which will be based on the above-described method for evaluating the quality level of the devel-oped software, as well as on Quality Function Deployment method and Latent Dirichlet Allocation-Interval Grey Number Quality Function Deployment method for the mining the text of software quality requirements specifications and for building data-driven quality function deployment.

Tetiana Hovorushchenko
Khmel'nitskiy natsional'nij universitet

Read the Original

This page is a summary of: Method for forecasting the level of software quality based on quality attributes, Journal of Intelligent & Fuzzy Systems, March 2023, IOS Press, DOI: 10.3233/jifs-222394.
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