RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models

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Veröffentlicht in:The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2022)
1. Verfasser: Bao, Tianshu
Weitere Verfasser: Yang, Jing, Yin, Yongfeng
Veröffentlicht:
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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024 7 |a 10.1109/ICSE-Companion55297.2022.9793770  |2 doi 
035 |a 2676786423 
045 2 |b d20220101  |b d20221231 
084 |a 228229  |2 nlm 
100 1 |a Bao, Tianshu  |u Guizhou University,School of Computer Science and Technology,Guiyang,China 
245 1 |a RM2Doc: A Tool for Automatic Generation of Requirements Documents from Requirements Models 
260 |b The Institute of Electrical and Electronics Engineers, Inc. (IEEE)  |c 2022 
513 |a Conference Proceedings 
520 3 |a Conference Title: 2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)Conference Start Date: 2022, May 22 Conference End Date: 2022, May 24 Conference Location: Pittsburgh, PA, USAAutomatic generation of requirements documents is an essential feature of the model-driven CASE tools such as UML and SysML designers. However, the quality of the generated documents from the current tools highly depends on the attached descriptions of models but not the quality of the model itself. Besides, if the stockholders ask to generate ISO/IEC/IEEE 29148-2018 conformed documents, extra templates are required. In this paper, we propose a CASE tool named RM2Doc, which can automatically generate ISO/IEC/IEEE 29148-2018 conformed requirements documents from UML models without any templates. In addition, the flow description can be generated from a use case without additional information. Moreover, it can automatically generate the semantic description of system operations only based on the formal expression of OCL. We have conducted four case studies with over 50 use cases. Overall, the result is satisfactory. The 95% requirements documents can be generated from the requirements model without any human interactions in 1 second. The proposed tools can be further developed for the industry of software engineering.The tool can be downloaded at http://rm2pt.com/rm2doc, and a demo video casting its features is at https://youtu.be/4z0Z5mrLfBc 
653 |a Industrial development 
653 |a Software engineering 
653 |a Software 
653 |a Documents 
653 |a Economic 
700 1 |a Yang, Jing  |u Guizhou University,School of Computer Science and Technology,Guiyang,China 
700 1 |a Yin, Yongfeng  |u Beihang University,School of Software,Beijing,China 
773 0 |t The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings  |g (2022) 
786 0 |d ProQuest  |t Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2676786423/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch