Gotowe bibliografie tematyczne / DBMS Testing

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Gotowa bibliografia na temat „DBMS Testing”

Autor: Grafiati

Data publikacji: 6 września 2023

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Artykuły w czasopismach na temat "DBMS Testing"

Wen, Shihao, Peng Jia, Pin Yang, and Chi Hu. "Squill: Testing DBMS with Correctness Feedback and Accurate Instantiation." Applied Sciences 13, no. 4 (2023): 2519. http://dx.doi.org/10.3390/app13042519.

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Database Management Systems (DBMSs) are the core of management information systems. Thus, detecting security bugs or vulnerabilities of DBMSs is an essential task. In recent years, grey-box fuzzing has been adopted to detect DBMS bugs for its high effectiveness. However, the seed scheduling strategy of existing fuzzing techniques does not consider the seeds’ correctness, which is inefficient in finding vulnerabilities in DBMSs. Moreover, current tools cannot correctly generate SQL statements with nested structures, which limits their effectiveness. This paper proposes a fuzzing solution named Squill to address these challenges. First, we propose correctness-guided mutation to utilize the correctness of seeds as feedback to guide fuzzing. Second, Squill embeds semantics-aware instantiation to correctly fill semantics to SQL statements with nested structures by collecting the context information of AST nodes. We implemented Squill based on Squirrel and evaluated it on three popular DBMSs: MySQL, MariaDB, and OceanBase. In our experiment, Squill explored 29% more paths and found 3.4× more bugs than the existing tool. In total, Squill detected 30 bugs in MySQL, 27 in MariaDB, and 6 in OceanBase. Overall, 19 of the bugs are fixed with 9 CVEs assigned. The results show that Squill outperforms the previous fuzzer in terms of both code coverage and bug discovery.

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Lo, Eric, Carsten Binnig, Donald Kossmann, M. Tamer Özsu, and Wing-Kai Hon. "A framework for testing DBMS features." VLDB Journal 19, no. 2 (2009): 203–30. http://dx.doi.org/10.1007/s00778-009-0157-y.

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Thüm, Thomas, Sandro Schulze, Mario Pukall, Gunter Saake, and Sebastian Günther. "Secure and Customizable Data Management for Automotive Systems: A Feasibility Study." ISRN Software Engineering 2012 (March 18, 2012): 1–7. http://dx.doi.org/10.5402/2012/424230.

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Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding security-related features such as asymmetric and symmetric encryption. We demonstrate the feasibility of our approach through applying different tailor-made DBMS versions derived from AutoDaMa in an automotive testing environment. Our experience is that AutoDaMa can dramatically reduce the development effort and can increase reliability using efficient reuse mechanisms.

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Bruno, N., S. Chaudhuri, and D. Thomas. "Generating Queries with Cardinality Constraints for DBMS Testing." IEEE Transactions on Knowledge and Data Engineering 18, no. 12 (2006): 1721–25. http://dx.doi.org/10.1109/tkde.2006.190.

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Sitnov, Vladimir E., Alexander I. Senchenko, and George A. Fatkin. "Archiving System Software for LIA-20." Vestnik NSU. Series: Information Technologies 18, no. 3 (2020): 69–80. http://dx.doi.org/10.25205/1818-7900-2020-18-3-69-80.

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The control system of the X-ray complex LIA-20 is based on the Tango Controls framework. Data archiving subsystem HDB++ was improved during the work for efficient storage of waveforms. PostgreSQL DBMS support as a storage was added. PostgreSQL extension “pguint” for unsigned numbers support was modified to support the binary transfer mode during this work. Performance testing of the modified “pguint” extension and the new DBMS interface was performed. This solution allowed to significantly increase the performance of HDB++, reduce the amount of data stored in the database, as well as remove restrictions on the size of the stored data.

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Robert Ş. Győrödi, Doina R. Zmaranda, Livia Bandici, and Daniela E. Popescu. "Performance Impact of Optimization Methods on MySQL Document-Based and Relational Databases." Applied Sciences 11, no. 15 (2021): 6794. http://dx.doi.org/10.3390/app11156794.

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Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance. In this paper, some methods for optimizing the database structure and queries were applied on two popular open-source database management systems: MySQL as a relational DBMS, and document-based MySQL as a non-relational DBMS. The main objective of this paper was to conduct a comparative analysis of the impact that the proposed optimization methods have on each specific DBMS when carrying out CRUD (CREATE, READ, UPDATE, DELETE) requests. To perform the analysis and performance evaluation of CRUD operations for different amounts of data, a case study testing architecture based on Java was developed and used to show how the databases’ proposed optimization methods can influence the performance of the application, and to highlight the differences in response time and complexity. The results obtained show the degree to which the proposed optimization methods contributed to the application’s performance improvement in the case of both databases; based on these, a detailed analysis and several conclusions are presented to support a decision for choosing a specific approach.

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Berski, Szymon, and Martyna Bilau. "Safety Mechanisms in Relational Database as Part of the IT System of the Enterprise." New Trends in Production Engineering 2, no. 2 (2019): 12–23. http://dx.doi.org/10.2478/ntpe-2019-0068.

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Abstract The work examines the effectiveness of the replication mechanism of the X production company database. In order to extend the functionality of the computer database of the enterprise, a model of its resource flow was created and an intensional and extensional part was created for a test database based on real enterprise resources. The model has been simplified to 3-rd normal form. The implementation was done in the MySQL database system. Two different operating systems were selected for testing: Windows and Linux. The database management system (DBMS) is working under the GPL license. MySQL DBMS offers many security mechanisms, and to secure the database, system of users permissions to objects have been selected and also an encryption of access passwords for users and connections to servers was used. A replication engine based on the binary log and the model “main server and backup server” was used to create a copy of the enterprise data.

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Darma Kotama, I. Nyoman, Made Sudarma, and I. Made Arsa Suyadnya. "Rancang Bangun Sistem Informasi Manajemen Konferensi Ilmiah Berbasis Web." Jurnal SPEKTRUM 4, no. 2 (2018): 36. http://dx.doi.org/10.24843/spektrum.2017.v04.i02.p05.

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This paper is projecting website system built on top of PHP Framework Laravel 5.2 and MySQL DBMS which contains 6 modules of scientific conference management needs, Master Conference, User Management, Submission, Website Management, Schedule, and Post Conference. From the development and testing system with Black Box method concluded that the system is running well and feasible to be applied to the management of the conference in Electrical Engineering Program Faculty of Engineering Udayana University.

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He, Haochen, Erci Xu, Shanshan Li, et al. "When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations." Proceedings of the VLDB Endowment 16, no. 7 (2023): 1712–25. http://dx.doi.org/10.14778/3587136.3587145.

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NVMe SSD hugely boosts the I/O speed, with up to GB/s throughput and microsecond-level latency. Unfortunately, DBMS users can often find their high-performanced storage devices tend to deliver less-than-expected or even worse performance when compared to their traditional peers. While many works focus on proposing new DBMS designs to fully exploit NVMe SSDs, few systematically study the symptoms, root causes and possible detection methods of such performance mismatches on existing databases. In this paper, we start with an empirical study where we systematically expose and analyze the performance mismatches on six popular databases via controlled configuration tuning. From the study, we find that all six databases can suffer from performance mismatches. Moreover, we conclude that the root causes can be categorized as databases' unawareness of new storage devices characteristics in I/O size, I/O parallelism and I/O sequentiality. We report 17 mismatches to developers and 15 are confirmed. Additionally, we realize testing all configuration knobs yields low efficiency. Therefore, we propose a fast performance mismatch detection framework and evaluation shows that our framework brings two orders of magnitude speedup than baseline without sacrificing effectiveness.

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Indriyono, Bonifacius Vicky, and Zudha Pratama. "Generating SQL Command Syntax Using MySQL Based on Typing Command Sentence." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 6, no. 1 (2021): 1–7. http://dx.doi.org/10.25139/inform.v6i1.3305.

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Information retrieval system is a system that is widely used to retrieve information. This research will discuss how the system finds back the information stored in database tables. Tables in the database are arranged to store all forms of data entered by database users so that later the stored data can be used again. Re-accessing the database's information must go through a mechanism known as a database management system (DBMS). One of the most widely used DBMS is MySQL. By using a DBMS, information and data can be manipulated according to user needs. Data manipulation in the database is done in a special language, namely SQL (Structure Query Language). Mastery of SQL commands is an obligation for database users so that the manipulated data can produce the required information. However, many database users still do not understand how the actual SQL command syntax manages and manipulates data into information. This is, of course, very risky if the solution is not immediately sought because it will hinder the process of retrieving information from the data stored in the database. For this problem to be resolved, it is necessary to design a system that can help database users translate their wishes into SQL command syntax. This paper will discuss how a command in Indonesian can be translated into SQL command syntax. The method used to solve this research problem is rule-based. There are two stages in the main process: the pre-processing stage, which consists of a word tokenization process, and a translation stage, including a keyword grouping process. This keyword grouping process consists of the keyword group analysis phase, table and column analysis, identification of SQL commands, and mapping of SQL commands. From all stages that have been passed and testing of 7 scenarios with ten (10) commands for each scenario, the accuracy is 81.42%. The inaccuracy in the testing process is more a problem of displaying data from two or more tables, for example, using the join table command. This problem can be addressed by adding new rules for the use of table joins.

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