@article{ART002439622},
author={Gi Hun Park and Kiwon Song},
title={A Propose and Design of Advanced Software Traceability Readability Opportunity Model},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2019},
volume={14},
number={1},
pages={63-70},
doi={10.34163/jkits.2019.14.1.007}
TY - JOUR
AU - Gi Hun Park
AU - Kiwon Song
TI - A Propose and Design of Advanced Software Traceability Readability Opportunity Model
JO - Journal of Knowledge Information Technology and Systems
PY - 2019
VL - 14
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 63
EP - 70
SN - 1975-7700
AB - This paper proposes ASTRO models that complement the problems of the existing S/W Stack Architecture. For the software stack architectures that are currently commonly used, it is not possible to provide much information about the increasing S/W complexity and progress in project development, which may lead to confusion in project progress. Therefore, this paper proposes ASTRO models that complement these problems and include all the information needed to develop S/W. For an intuitive understanding of the S/W project, the ASTRO Model visualizes and expresses IP information in more detail than the layers, subsystems, and existing Stack Architecture that are included in that S/W and uses different markers to easily determine whether the IP is an internal asset, an external asset, or an undecided one. In addition, this paper also implements systems for creating ASTRO models and managing projects. The system helps create ASTRO models and supports reuse of layers, subsystems, and IPs. It is also implemented to check detailed information such as resources allocated to each IP, core functions, defects and development period. Based on the current proposed model, future research plans to provide a reference model for each domain, reflecting the characteristics of various domains, and to develop Web-based ASTRO II considering the additional features, convenience and accessibility required for systems for integrated project management.
KW - S/W architecture;Reuse;Readability;Traceability;Opportunity;Android architecture;Internal property;S/W project management;3rd party;S/W development scope
DO - 10.34163/jkits.2019.14.1.007
ER -
Gi Hun Park and Kiwon Song. (2019). A Propose and Design of Advanced Software Traceability Readability Opportunity Model. Journal of Knowledge Information Technology and Systems, 14(1), 63-70.
Gi Hun Park and Kiwon Song. 2019, "A Propose and Design of Advanced Software Traceability Readability Opportunity Model", Journal of Knowledge Information Technology and Systems, vol.14, no.1 pp.63-70. Available from: doi:10.34163/jkits.2019.14.1.007
Gi Hun Park, Kiwon Song "A Propose and Design of Advanced Software Traceability Readability Opportunity Model" Journal of Knowledge Information Technology and Systems 14.1 pp.63-70 (2019) : 63.
Gi Hun Park, Kiwon Song. A Propose and Design of Advanced Software Traceability Readability Opportunity Model. 2019; 14(1), 63-70. Available from: doi:10.34163/jkits.2019.14.1.007
Gi Hun Park and Kiwon Song. "A Propose and Design of Advanced Software Traceability Readability Opportunity Model" Journal of Knowledge Information Technology and Systems 14, no.1 (2019) : 63-70.doi: 10.34163/jkits.2019.14.1.007
Gi Hun Park; Kiwon Song. A Propose and Design of Advanced Software Traceability Readability Opportunity Model. Journal of Knowledge Information Technology and Systems, 14(1), 63-70. doi: 10.34163/jkits.2019.14.1.007
Gi Hun Park; Kiwon Song. A Propose and Design of Advanced Software Traceability Readability Opportunity Model. Journal of Knowledge Information Technology and Systems. 2019; 14(1) 63-70. doi: 10.34163/jkits.2019.14.1.007
Gi Hun Park, Kiwon Song. A Propose and Design of Advanced Software Traceability Readability Opportunity Model. 2019; 14(1), 63-70. Available from: doi:10.34163/jkits.2019.14.1.007
Gi Hun Park and Kiwon Song. "A Propose and Design of Advanced Software Traceability Readability Opportunity Model" Journal of Knowledge Information Technology and Systems 14, no.1 (2019) : 63-70.doi: 10.34163/jkits.2019.14.1.007
