發(fā)布時間：2018-04-24 11:43

  本文選題：軟件質(zhì)量評價 + 軟件質(zhì)量評價模型��； 參考：《東北石油大學(xué)》2017年碩士論文

【摘要】：隨著中國石油和化工企業(yè)信息化水平的不斷提升,石油化工行業(yè)已成為繼金融業(yè)、航空航天工業(yè)之后,軟件應(yīng)用最廣泛的行業(yè)之一。油田公司在軟件的研發(fā)和購買上投入了大量的資金和資源,軟件系統(tǒng)的數(shù)量規(guī)模和質(zhì)量水平有了大幅提高,但是一些軟件產(chǎn)品仍然存在著許多隱匿的質(zhì)量問題。為了發(fā)現(xiàn)這些問題、實現(xiàn)軟件質(zhì)量的全面提升,必須進行科學(xué)、有效的軟件質(zhì)量評價。近年來,許多國內(nèi)外專家學(xué)者對軟件質(zhì)量評價作了一些重要的研究,提出和建立了通用的質(zhì)量評價指標體系和評價模型。但是,由于石油應(yīng)用軟件具有專業(yè)性和交互式的特點,通用的軟件質(zhì)量評價指標難以全面覆蓋油田應(yīng)用軟件評價過程中的重要屬性。因此,本文通過對國際、國內(nèi)現(xiàn)行軟件質(zhì)量標準GB/T16260:2006、ISO/IEC25010:2011軟件質(zhì)量模型的分析,結(jié)合油田應(yīng)用軟件的特點,提出了一套適用于油田軟件質(zhì)量評價的指標體系。另外,為了反映評價過程的隨機性和模糊性,本文通過對幾種軟件質(zhì)量評價方法的對比分析,建立了基于云模型的軟件評測模型。該模型在確定指標權(quán)重時引入了層次分析法,規(guī)避了直接賦權(quán)的主觀性;同時,在評價分數(shù)處理時運用了云模型算法,體現(xiàn)了評價過程的不確定性。我們將該模型用于國內(nèi)某油田測井軟件的評測中,得到了與軟件專家主觀感受相同的評價結(jié)果,同時將云模型評測結(jié)果與模糊綜合評判結(jié)果進行了分析比對,進一步驗證了其可靠性。最后,依照建立的理論模型,運用軟件工程方法和數(shù)據(jù)庫技術(shù),將基于云模型的軟件評測模型在某油田軟件評測管理監(jiān)測一體化平臺中的軟件評測模塊進行設(shè)計與實現(xiàn)。
[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.
【學(xué)位授予單位】：東北石油大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TE319;TP311.52

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本文編號：1796480