基于云模型的软件评测模型的研究

发布时间：2018-04-24 11:43

本文选题：软件质量评价 + 软件质量评价模型　；参考：《东北石油大学》2017年硕士论文

【摘要】：随着中国石油和化工企业信息化水平的不断提升,石油化工行业已成为继金融业、航空航天工业之后,软件应用最广泛的行业之一。油田公司在软件的研发和购买上投入了大量的资金和资源,软件系统的数量规模和质量水平有了大幅提高,但是一些软件产品仍然存在着许多隐匿的质量问题。为了发现这些问题、实现软件质量的全面提升,必须进行科学、有效的软件质量评价。近年来,许多国内外专家学者对软件质量评价作了一些重要的研究,提出和建立了通用的质量评价指标体系和评价模型。但是,由于石油应用软件具有专业性和交互式的特点,通用的软件质量评价指标难以全面覆盖油田应用软件评价过程中的重要属性。因此,本文通过对国际、国内现行软件质量标准GB/T16260:2006、ISO/IEC25010:2011软件质量模型的分析,结合油田应用软件的特点,提出了一套适用于油田软件质量评价的指标体系。另外,为了反映评价过程的随机性和模糊性,本文通过对几种软件质量评价方法的对比分析,建立了基于云模型的软件评测模型。该模型在确定指标权重时引入了层次分析法,规避了直接赋权的主观性;同时,在评价分数处理时运用了云模型算法,体现了评价过程的不确定性。我们将该模型用于国内某油田测井软件的评测中,得到了与软件专家主观感受相同的评价结果,同时将云模型评测结果与模糊综合评判结果进行了分析比对,进一步验证了其可靠性。最后,依照建立的理论模型,运用软件工程方法和数据库技术,将基于云模型的软件评测模型在某油田软件评测管理监测一体化平台中的软件评测模块进行设计与实现。
[Abstract]:With the continuous improvement of the informatization level of Chinese petroleum and chemical enterprises, petrochemical industry has become one of the most widely used industries after the financial industry and aerospace industry. Oil field companies have invested a lot of funds and resources in software development and purchase, and the quantity and quality of software systems have been greatly improved, but some software products still have many hidden quality problems. In order to find these problems and realize the overall improvement of software quality, scientific and effective software quality evaluation must be carried out. In recent years, many experts and scholars at home and abroad have made some important research on software quality evaluation, and put forward and established a general quality evaluation index system and evaluation model. However, due to the professional and interactive characteristics of petroleum application software, it is difficult to cover the important attributes in the evaluation process of oilfield application software by the universal software quality evaluation index. Therefore, based on the analysis of the software quality model GB / T 16260: 2006 ISO / IEC 25010: 2011 and the characteristics of oilfield application software, this paper puts forward a set of index system suitable for software quality evaluation in oil field. In addition, in order to reflect the randomness and fuzziness of the evaluation process, this paper establishes a software evaluation model based on cloud model by comparing and analyzing several software quality evaluation methods. In order to avoid the subjectivity of direct weighting, the model uses the cloud model algorithm to determine the index weight, which reflects the uncertainty of the evaluation process. The model is applied to the evaluation of oil field logging software in China, and the evaluation results are the same as the subjective feelings of the software experts. At the same time, the cloud model evaluation results are analyzed and compared with the fuzzy comprehensive evaluation results. The reliability is further verified. Finally, according to the established theoretical model, using the software engineering method and database technology, the software evaluation module based on cloud model is designed and implemented in an integrated platform of oil field software evaluation, management and monitoring.
【学位授予单位】：东北石油大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TE319;TP311.52

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