@article{Yang2018, 
author = {Xi Yang and Gul Jabeen and Ping Luo and Xiao-Ling Zhu and Mei-Hua Liu},
title = {A Unified Measurement Solution of Software Trustworthiness Based on Social-to-Software Framework},
year = {2018},
journal = {Journal of Computer Science and Technology},
volume = {33},
number = {3},
pages = {603-620},
keywords = {loss, software trustworthiness, measurement solution, social-to-software (S2S) framework, generalized indicator},
url = {https://www.sciopen.com/article/10.1007/s11390-018-1843-2},
doi = {10.1007/s11390-018-1843-2},
abstract = {As trust becomes increasingly important in software domain, software trustworthiness — as a complex high-composite concept, has developed into a big challenge people have to face, especially in the current open, dynamic and ever-changing Internet environment. Furthermore, how to recognize and define trust problem from its nature and how to measure software trustworthiness correctly and effectively play a key role in improving users’ trust in choosing software. Based on trust theory in the field of humanities and sociology, this paper proposes a measurable S2S (Social-to-Software) software trustworthiness framework, introduces a generalized indicator loss to unify three parts of trustworthiness result, and presents a whole metric solution for software trustworthiness, including the advanced J-M model based on power function and time-loss rate for ability trustworthiness measurement, the fuzzy comprehensive evaluation advanced-model considering effect of multiple short boards for basic standard trustworthiness, and the identity trustworthiness measurement method based on the code homology detecting tools. Finally, it provides a case study to verify that the solution is applicable and effective.}
}