Abstract
According to the quality requirements and business characteristics of power grid dispatching automation system software, the author proposed a software quality evaluation model that suitable for power dispatching automation system, meanwhile combining with quality methods of the current common software. The quality model was decomposed into quality characteristics, quality sub-features and metric elements. The author used analytic hierarchy process to establish the evaluation index system and determined the index weight, and used the fuzzy evaluation method for quality evaluation. The technology provides an important basis for the quality control of power grid dispatching automation system products, and ensures the power grid dispatching automation system operating in a safe, stable and reliable way.
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References
Nair, T.R.G., Selvarani, R.: Defect proneness estimation and feedback approach for software design quality improvement. Inf. Softw. Technol. 54(3), 274–285 (2012)
Schneidewind, N.: What can software engineers learn from manufacturing to improve software process and product. J. Intell. Manuf. 22(4), 597–606 (2011)
Abdellatief, M., Sultan, A.B.M., Ghani, A.A.A., et al.: A mapping study to investigate component based software system metrics. J. Syst. Softw. 86(3), 587–603 (2013)
Lee, K., Lee, S.: A quantitative evaluation model using the ISO/IEC 9126 quality model in the component based development process. In: Gavrilova, M.L., Gervasi, O., Kumar, V., Tan, C.J.K., Taniar, D., Laganá, A., Mun, Y., Choo, H. (eds.) ICCSA 2006. LNCS, vol. 3983, pp. 917–926. Springer, Heidelberg (2006). doi:10.1007/11751632_99
Côté, M.-A., Suryn, W., et al.: The evolution path for industrial software quality evaluation methods applying ISO/IEC 9126:2001 quality model: example of MITRE’s SQAE method. Softw. Qual. J. 13(1), 17–30 (2005)
Yuen, K.K.F., Lau, H.C.W.: A fuzzy group analytical hierarchy process approach for software quality assurance management: fuzzy logarithmic least squares method. Expert Syst. Appl. 38(8), 10292–10302 (2011)
Guo, Y., Tang, H.Y., Qu, D.G.: Dynamic comprehensive evaluation method and application based on minimum variance. Syst. Eng. Electron. 32(6), 1225–1228 (2010)
Zhou, J.H., Wang, Z., Yang, Z.: Research on software quality evaluation based on fuzzy evaluation method. Syst. Eng. Electron. 26(7), 987–991 (2004)
You, T.H., Fan, Z., Li, H.Y.: A synthetic evaluation method of software quality based on two-tuple linguistic information processing. Syst. Eng. Electron. 27(3), 545–549 (2005)
Guo, F., Hou, Z., Dai, Z.: Modeling and simulation of ANFIS software quality evaluation based on expert knowledge. Syst. Eng. Electron. 28(2), 317–320 (2006)
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Xu, X. et al. (2017). Quality Measurement and Evaluation Technology Research of Power Grid Dispatching Automation System Software. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_25
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DOI: https://doi.org/10.1007/978-981-10-3966-9_25
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