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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 9, 2021.
Abstract: The black box-based requirements specification models representative by the use case model focus on specifying system behaviors exposed outside. While these models are sufficiently effective in specifying requirements for business applications behavior, they are limited in specifying requirements for embedded systems with relatively very short interaction sequences with users. To solve this problem, we have proposed a gray box-based requirements specification method to specify the inner logic of an embedded system, including a tool for automatic generation of requirements specification from some analysis models in our previous work. This study proves the benefits of the proposed software requirements specification method by applying it to a robot patrol system and showing the possibility of general use of the proposed method in the embedded system domain. Compared with our previous work, we enhance the tool for automatic generation of requirements specification, called SpecGen, and prove the benefit of the proposed method from multiple aspects. The application result on the robot patrol system case is quantitatively demonstrating that our proposed requirements specification method improves development productivity and enhances overall software product quality, including code quality.
Soojin Park, “A Gray Box-based Approach to Automatic Requirements Specification for a Robot Patrol System” International Journal of Advanced Computer Science and Applications(IJACSA), 12(9), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120971
@article{Park2021,
title = {A Gray Box-based Approach to Automatic Requirements Specification for a Robot Patrol System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120971},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120971},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {9},
author = {Soojin Park}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.