GRMSE 2016: Geo-Spatial Knowledge and Intelligence pp 230-237 | Cite as
Quality Measurement and Evaluation Technology Research of Power Grid Dispatching Automation System Software
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.
Keywords
Power dispatching automation system Quality evaluation model Analytic hierarchyReferences
- 1.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)CrossRefGoogle Scholar
- 2.Schneidewind, N.: What can software engineers learn from manufacturing to improve software process and product. J. Intell. Manuf. 22(4), 597–606 (2011)CrossRefGoogle Scholar
- 3.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)CrossRefGoogle Scholar
- 4.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 CrossRefGoogle Scholar
- 5.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)CrossRefGoogle Scholar
- 6.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)CrossRefGoogle Scholar
- 7.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)Google Scholar
- 8.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)Google Scholar
- 9.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)Google Scholar
- 10.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)Google Scholar