【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展，搜索引擎成為人們過(guò)濾信息的重要平臺(tái)。搜索引擎收集并整理龐大的互聯(lián)網(wǎng)數(shù)據(jù)，為用戶(hù)提供優(yōu)質(zhì)準(zhǔn)確的信息檢索服務(wù)。同時(shí)帶來(lái)了大量的用戶(hù)流量，催生了巨大的商業(yè)價(jià)值，促使搜索引擎提供更好的服務(wù)以及更好的用戶(hù)體驗(yàn)，這使得搜索引擎日益復(fù)雜。因此對(duì)搜索引擎的測(cè)試提出了更高的要求。 目前國(guó)內(nèi)外缺乏相關(guān)的搜索引擎測(cè)試工具，比較成熟的測(cè)試框架對(duì)搜索引擎又存在不同的測(cè)試缺陷，無(wú)法滿(mǎn)足對(duì)搜索引擎的測(cè)試需求。因此，本文分析了當(dāng)前搜索引擎測(cè)試現(xiàn)狀以及相關(guān)測(cè)試方法。對(duì)比各測(cè)試方法的優(yōu)缺點(diǎn)，并借鑒數(shù)據(jù)驅(qū)動(dòng)框架和關(guān)鍵字驅(qū)動(dòng)框架設(shè)計(jì)了適用搜索引擎測(cè)試的混合驅(qū)動(dòng)框架，詳述該框架的測(cè)試流程，，并驗(yàn)證其能夠滿(mǎn)足搜索引擎前臺(tái)測(cè)試需求。同時(shí)吸取了當(dāng)前較流行的用例生成方法，使用戶(hù)能夠快速便捷的生成測(cè)試用例。在混合驅(qū)動(dòng)框架的基礎(chǔ)上進(jìn)行系統(tǒng)的總體設(shè)計(jì)，并完成了系統(tǒng)主要功能模塊的設(shè)計(jì)與實(shí)現(xiàn)，最終實(shí)現(xiàn)了適用于搜索引擎的測(cè)試系統(tǒng)。 本文通過(guò)對(duì)現(xiàn)有測(cè)試數(shù)據(jù)和測(cè)試邏輯進(jìn)行分析和歸納，將測(cè)試邏輯拆分成可執(zhí)行的測(cè)試關(guān)鍵字并與測(cè)試預(yù)期結(jié)果相結(jié)合，形成獨(dú)立的測(cè)試單元。各測(cè)試單元間加入對(duì)比邏輯，配合使用公共屬性從而形成完整混合式的測(cè)試數(shù)據(jù)。在該方法基礎(chǔ)上建立通用的測(cè)試流程，以及相對(duì)應(yīng)的測(cè)試數(shù)據(jù)和測(cè)試方案管理功能，并使用B/S結(jié)構(gòu)實(shí)現(xiàn)便捷的交互機(jī)制。最終實(shí)現(xiàn)用戶(hù)僅提交測(cè)試對(duì)象地址和預(yù)期結(jié)果即可完成整個(gè)測(cè)試過(guò)程的完整測(cè)試系統(tǒng)。 經(jīng)過(guò)實(shí)踐，證明混合式測(cè)試數(shù)據(jù)對(duì)搜索引擎產(chǎn)品測(cè)試的效率更高，使用通用測(cè)試邏輯和常用測(cè)試邏輯函數(shù)，并能不斷添加測(cè)試邏輯，使得測(cè)試邏輯更加靈活。測(cè)試預(yù)期結(jié)果和測(cè)試數(shù)據(jù)相對(duì)開(kāi)放使系統(tǒng)具有良好的通用性，能夠支持不同測(cè)試項(xiàng)目和不同客戶(hù)端的搜索引擎產(chǎn)品。從而有效的提高測(cè)試效率，降低測(cè)試成本。
[Abstract]:With the development of Internet technology, search engine has become an important platform for people to filter information. Search engines collect and collate huge Internet data to provide users with high-quality and accurate information retrieval services. At the same time, it brings a large amount of user traffic, gives birth to huge business value, and promotes search engine to provide better service and better user experience, which makes search engine more and more complicated. Therefore, the test of search engine puts forward higher requirements. At present, there is a lack of relevant search engine testing tools at home and abroad. The mature testing framework has different testing defects for the search engine, and can not meet the test requirements of the search engine. Therefore, this paper analyzes the current status of search engine testing and related testing methods. The advantages and disadvantages of each test method are compared, and a hybrid driver framework suitable for search engine testing is designed with reference to the data-driven framework and the keyword-driven framework, and the test flow of the framework is described in detail. And verify that it can meet the search engine foreground test requirements. At the same time, it absorbs the current popular method of generating test cases, so that users can generate test cases quickly and conveniently. Based on the hybrid drive framework, the overall design of the system is carried out, and the design and implementation of the main functional modules of the system are completed. Finally, the test system suitable for the search engine is implemented. In this paper, the existing test data and test logic are analyzed and summarized, and the test logic is divided into executable test keywords and combined with the expected results of the test to form an independent test unit. Contrast logic is added to each test unit and common attributes are used to form a complete hybrid test data. On the basis of this method, the general test flow, the corresponding test data and test scheme management function are established, and the convenient interaction mechanism is realized by using BSS structure. Finally, the user can complete the whole test process only by submitting the address of the test object and the expected result. Through the practice, it is proved that the hybrid test data is more efficient for the product testing of search engine. The general test logic and common test logic functions are used, and the test logic can be added continuously, which makes the test logic more flexible. The expected test results and test data are relatively open so that the system has a good versatility and can support search engine products with different test items and different clients. Thus effectively improve the efficiency of testing, reduce the cost of testing.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：TP311.52;TP391.3

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