Wenming Guo

Bio: Wenming Guo is an academic researcher from Peking University. The author has contributed to research in topics: Database tuning & Integration testing. The author has an hindex of 2, co-authored 2 publications receiving 11 citations.

A Data-Driven Software Testing Tools Integration System

Abstract: We have analyzed problems in the application process of automation testing tool. For the output data formats of the four kinds of open-source automation testing tools, we have given integration solution of testing tools based on the idea of data-driven. We also have explained the functionality and data model of integration system, which should be increased. And have designed a set of complete automation testing tools integration system, which constructed a complete testing solution.

Memory Database Index Optimization

Abstract: Index is used to improve the efficiency of database queries. Because the database needs to handle very large amount of data, while the memory is expensive, limited capacity, and the database must meet certain real-time, finding an effective design approach of the index is very necessary. This paper describes that through the B and T tree performance analysis during the process of designing the index, put forward the new thinking of improving the index, after doing the experiment, as allow the database to either use the B tree or use the T tree, in time and space, how to select both timely in order to enhance the query, insert, and delete efficiency of the database index.

Design and Implementation in Selenium IDE with Web Driver

Abstract: is open source software tool for automation testing .In this paper Firstly, we made analysis of selenium IDE with selenium Web Driver and Secondly, how we can enhance the Selenium IDE with using Web Driver and compatible with others browser. Now days the Web applications being developed to be compatible with all browsers but in Selenium IDE tool is limited to Firefox browser only and Selenium IDE cannot be tested on all browsers .If users wants to run recorded tests in different browsers like IE or Chrome then Selenium tools web driver has features to support with others browser .In this paper we had described Integrating Selenium IDE and web driver in one single package so that recorded tests on IDE can be run as web driver tests from single UI.

A Survey of Most Common Referred Automated Performance Testing Tools

Abstract: System performance is one of the key accounts in any software quality. Automated software performance can be measured with the help of testing based upon some predefine characteristics. Automated performance testing is very important for large scale and distributed applications. Unsatisfactory performance may create functional and non-functional problems which must lead to inference in terms of time and resources. In standards regulation authorities have propose matrix for automated software performance testing. In this discuss some software quality standards and their purposed matrix. We review some literatures for performance measurement based upon some characteristics or matrix. We then combined all characteristics in the form of matrix. We analyze some most commonly referred automated software performance testing tools to verify the practical implementation of purpose matrix.

Main Memory Database Recovery: A Survey

Abstract: Many of today’s applications need massive real-time data processing. In-memory database systems have become a good alternative for these requirements. These systems maintain the primary copy of the database in the main memory to achieve high throughput rates and low latency. However, a database in RAM is more vulnerable to failures than in traditional disk-oriented databases because of the memory volatility. DBMSs implement recovery activities (logging, checkpoint, and restart) for recovery proposes. Although the recovery component looks similar in disk- and memory-oriented systems, these systems differ dramatically in the way they implement their architectural components, such as data storage, indexing, concurrency control, query processing, durability, and recovery. This survey aims to provide a thorough review of in-memory database recovery techniques. To achieve this goal, we reviewed the main concepts of database recovery and architectural choices to implement an in-memory database system. Only then, we present the techniques to recover in-memory databases and discuss the recovery strategies of a representative sample of modern in-memory databases.