Volume 7 Number 3 (Mar. 2012)
Home > Archive > 2012 > Volume 7 Number 3 (Mar. 2012) >
JSW 2012 Vol.7(3): 532-543 ISSN: 1796-217X
doi: 10.4304/jsw.7.3.532-543

Developing an Evaluation Approach for Software Trustworthiness Using Combination Weights and TOPSIS

Li Shi1, 2, Shan-lin Yang1, 2, 3, Kai Lia1, 3, Ben-gong Yu1, 2
1School of Management, Hefei University of Technology, Hefei 230009, China
2Institute of Computer Network System, Hefei University of Technology, Hefei 230009, China
3Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei 230009, China


Abstract—Software is everywhere. However, software is not always trustworthy. Confronting the demand of software trustworthiness evaluation, this paper proposes a novel software trustworthiness evaluation approach based on combination weights (CW) and improved TOPSIS methods. The determination of CW relies on experts' judgment and mathematical computation together. FAHP method is used to determine the importance of degree of criteria accordingexperts'judgment. To avoid the subjective onesidedness of weights, entropy weighting method is employed to calculate objective weights. Then, the paper adopts combination weighting method to obtain the CW of evaluation criterion. Next, the CW is applied to the improved TOPSIS method and the trustworthiness rating of software is calculated. The result contributes to provide decision makers more decision information. Finally, the proposed approach is demonstrated with the evaluation of PLM software for an aircraft equipment manufacturer in China, which is followed by the sensitivity analysis and the results illustrate the robustness of the presented evaluation approach.
 
Index Terms—trustworthy software; FAHP; entropy weighting method; TOPSIS; evaluation model; PLM software

[PDF]

Cite: Li Shi, Shan-lin Yanga, Kai Li, Ben-gong Yu, "Developing an Evaluation Approach for Software Trustworthiness Using Combination Weights and TOPSIS," Journal of Software vol. 7, no. 3, pp. 532-543, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Apr 26, 2021 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Sep 13, 2021 News!

    The papers published in Vol 16, No 6 have all received dois from Crossref    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2021, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Sep 13, 2021 News!

    Vol 16, No 6 has been published with online version     [Click]