Software testing document generating method and system based on static model and storage medium

Abstract

The invention discloses a software testing document generating method and system based on a static model. The method comprises the steps of formulating a document template with a Freemarker grammatical marker; adopting an embedding mechanism among a state flow diagram, a fault tree, a cause and effect diagram, a decision table and a graph and extended semantics of the diagram to construct the static model of embedded software, planning testing items according to a graphic model, generating testing examples corresponding to the testing items, adopting a database mode to store the testing itemsand a testing example set and automatically generating a testing document based on the static model. Static testing requirements are achieved in the static model, static testing requirement tracking can be very easily achieved, the normative and standardized testing requirements and a testing introduction document are automatically generated, the problems that the relevant contents of the documents are not consistent and the integrity is lacking are solved, and the work efficiency is improved.

Description

technical field [0001] The invention relates to the field of graphical modeling, in particular to a static model-based embedded software test document generation method, system and storage medium. Background technique [0002] At present, the research and development, testing and process management of embedded software are still dominated by traditional document-driven software development methods, using a lot of manpower to write requirements and design documents, and manually writing codes and test cases. A large amount of manpower reviews, walks through and tests the documents and codes generated at each stage of software development. The effect of software quality assurance depends on the accuracy of the requirements and design description of the document and the meticulousness of the reviewers' inspection of the document. However, the inaccuracy of natural language and the shortcomings of manual management make it difficult to avoid omissions. The specific, non-automate...

AI Technical Summary

Problems solved by technology

[0004] (1) Incomplete documentation, inconsistent relevant content, and lack of completeness;

[0005] (2) Human negligence, resulting in human errors;

[0006] (3) The information stored in the document cannot provide continuous, mandatory, complete and regular constraints and guidance on the "man-made" testing activities;

[0007] (5) The information stored in the document does not make maximum use of the output results of the previous stage, etc.

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