【摘要】：智能終端的普及推動了 APP軟件迅猛發(fā)展,APP應(yīng)用呈爆炸式增長,各個行業(yè)的APP軟件越來越多樣化。這些軟件不僅豐富了手機的功能,憑借其便攜、觸摸、高清的豐富體驗也為人們的生活提供了便捷,并且已經(jīng)從單一的通訊工具發(fā)展成為了個人信息收集和多功能多需求處理的移動平臺。然而,由于APP軟件的開發(fā)一般基于開放操作系統(tǒng),設(shè)計簡單、開發(fā)門檻較低、進入市場周期較短,同時,由于市場監(jiān)管較弱,沒有針對性的APP軟件質(zhì)量檢測模型。這些APP應(yīng)用在為人提供方便的同時,也產(chǎn)生了很多問題:軟件運行過程中出現(xiàn)功能失效、死機、重啟、響應(yīng)慢、不穩(wěn)定;軟件內(nèi)容涉嫌黃賭毒;甚至軟件本身涉及購物欺詐、惡意扣費、隱私信息泄露、垃圾廣告等,這些質(zhì)量問題嚴(yán)重?fù)p壞了終端消費者合法權(quán)益。針對APP軟件產(chǎn)生的各種問題,制定APP軟件的一系列規(guī)范化的測試方法和度量標(biāo)準(zhǔn),并據(jù)此產(chǎn)生APP應(yīng)用的軟件度量模型。這樣就規(guī)范了 APP應(yīng)用的開發(fā)過程,為開發(fā)和設(shè)計人員提供了參考。通過這些度量的標(biāo)準(zhǔn)和方法提高APP應(yīng)用的產(chǎn)品質(zhì)量,從根本上確保移動用戶的使用體驗,避免了用戶使用過程中以上諸多問題的產(chǎn)生。同時也為第三方的檢測機構(gòu)和APP STORE的產(chǎn)品發(fā)布提供依據(jù)。本文主要工作包括以下內(nèi)容:1、比較APP軟件與傳統(tǒng)軟件的區(qū)別,提取出APP軟件的特征�；贗SO/IEC 25010軟件質(zhì)量模型提取出APP軟件的質(zhì)量屬性。2、根據(jù)APP軟件的質(zhì)量屬性提取出初步的APP軟件質(zhì)量模型。3、根據(jù)傳統(tǒng)軟件的度量方法和現(xiàn)有APP軟件的測試技術(shù),通過實際的測試實驗驗證上述模型中每個特性的度量指標(biāo),對不合理的指標(biāo)進行調(diào)整。4、使用模糊層次分析法確定模型各質(zhì)量特性及指標(biāo)的主觀權(quán)重,用熵權(quán)法確定模型的客觀權(quán)重,然后使用組合賦權(quán)的方法計算出模型的最終權(quán)重。采用功效系數(shù)法和逼近理想解排序法對資訊類APP軟件實例進行綜合評價。5、設(shè)計并實現(xiàn)了 APP軟件產(chǎn)品質(zhì)量評價系統(tǒng)。選取了三個實驗角度驗證了本文提出的模型與評價功能的有效性和準(zhǔn)確性。
[Abstract]:The popularity of intelligent terminals has promoted the rapid development of APP software and the explosive growth of app applications. The APP software in various industries is becoming more and more diversified. These software not only enriched the function of mobile phone, but also provided convenience for people's life with the rich experience of portability, touch and high definition. And it has developed from a single communication tool to a mobile platform for personal information collection and multi-function multi-demand processing. However, because the development of APP software is based on open operating system, the design is simple, the threshold of development is lower, and the period of entering the market is short. At the same time, because of the weak market supervision, there is no targeted APP software quality inspection model. While providing convenience for people, these APP applications have also caused many problems: failure of function, crash, restart, slow response and instability; suspected pornography and drugs; and even the software itself involved in shopping fraud. Malicious charges, privacy information leaks, junk advertising and so on, these quality problems seriously damaged the legitimate rights and interests of end consumers. Aiming at the various problems of APP software, a series of standardized test methods and metrics for APP software are established, and the software metric model of APP application is generated accordingly. In this way, the development process of APP application is standardized, which provides a reference for developers and designers. Through these metrics and methods to improve the product quality of APP applications, fundamentally ensure the mobile user experience, and avoid the problems mentioned above in the process of user use. At the same time also for third-party testing agencies and APP STORE product release to provide the basis. The main work of this paper is as follows: 1, compare the differences between APP software and traditional software, extract the features of APP software. Based on the software quality model of ISO/IEC 25010, the quality attribute of APP software is extracted. 2, the primary quality model of APP software is extracted according to the quality attribute of APP software, and the measurement method of traditional software and the testing technology of existing APP software are introduced. The measurement index of each characteristic in the above model is verified by the actual test experiment, and the unreasonable index is adjusted. 4. The fuzzy analytic hierarchy process (FAHP) is used to determine the subjective weight of each quality characteristic and index of the model. The objective weight of the model is determined by the entropy weight method, and the final weight of the model is calculated by the combination weight method. The efficiency coefficient method and the approximate ideal solution sort method are used to evaluate the information APP software examples. Finally, a APP software product quality evaluation system is designed and implemented. Three experimental angles are selected to verify the validity and accuracy of the proposed model and evaluation function.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.56

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