SBIR Phase I: Software Analysis Tools for Field Specialization of Database Management Systems

SBIR 第一阶段：数据库管理系统领域专业化的软件分析工具

• 批准号: 1548136
• 负责人: Rui Zhang
• 金额: $ 15万
• 依托单位: Dataware Ventures LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1548136&HistoricalAwards=false
• 关键词: SBIR; Phase; Software; Analysis; Tools

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is the development of a set of software tools that can demonstrate the feasibility of a patent-pending technology for dramatically boosting the performance of a wide range of software systems, on very large and complex commercial-scale database management systems (DBMS). The accelerating growth in data-driven approaches to business decision-making, together with the rapidly growing volume of data being used, makes the speed of data processing an important consideration in today's business world; interviews with industry CIOs indicate that DBMS performance is a significant pain point for businesses. The commercialization of the technology developed in this project will greatly improve data processing capacity and thereby permit faster and better business decision-making. Given the central role played by DBMSs in enterprise IT systems, this can be expected to have a significant positive impact on businesses large and small. This Small Business Innovation Research (SBIR) Phase I project will demonstrate the feasibility of applying field specialization technology to large commercial database management systems (DBMSs), with the objective of significantly improving the performance of these systems, by developing a highly precise and scalable software analysis tool to identify field specialization opportunities in commercial DBMS software. The primary challenges to be addressed are those of scale and complexity (commercial code bases run to many tens of millions of lines of source code in size, and contain significant amounts of legacy code as well as more complex data structures and source language constructs). The project will address these challenges by developing an automated software tool that is both (a) highly precise in its analysis of DBMS software properties, and (b) highly scalable in its ability to process large software systems.

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是开发一套软件工具，可以证明正在申请专利的技术的可行性，以显着提高各种软件系统的性能，在非常大和复杂的商业规模的数据库管理系统（DBMS）。数据驱动的业务决策方法的加速增长，以及使用的数据量的快速增长，使得数据处理速度成为当今商业世界的一个重要考虑因素;对行业CIO的采访表明，DBMS性能是企业的一个重要痛点。 该项目开发的技术的商业化将大大提高数据处理能力，从而能够更快、更好地作出商业决策。 鉴于DBMS在企业IT系统中所扮演的核心角色，可以预期这将对大大小小的企业产生重大的积极影响。这个小型企业创新研究（SBIR）第一阶段项目将证明将领域专业化技术应用于大型商业数据库管理系统（DBMS）的可行性，其目标是通过开发一种高度精确和可扩展的软件分析工具来识别商业DBMS软件中的领域专业化机会，从而显着提高这些系统的性能。需要解决的主要挑战是规模和复杂性（商业代码库的源代码长达数千万行，包含大量遗留代码以及更复杂的数据结构和源语言结构）。 该项目将通过开发一种自动化软件工具来应对这些挑战，该工具（a）在分析DBMS软件属性方面具有高度精确性，（B）在处理大型软件系统方面具有高度可扩展性。