ITR: Collaborative Research: A New Generation of Scalable, Cost-Effective Regression Testing Techniques

ITR：协作研究：新一代可扩展、经济高效的回归测试技术

基本信息

批准号：
0080898
负责人：
Sebastian Elbaum
金额：
$ 21.99万
依托单位：
University of Nebraska-Lincoln
依托单位国家：
美国
项目类别：
Continuing Grant
财政年份：
2000
资助国家：
美国
起止时间：
2000-09-01 至 2004-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=0080898&HistoricalAwards=false
关键词：
ITR Collaborative Research New Generation

项目摘要

CCR-0080898 PI: Sebastian Elbaum Univ. of Nebraska - Lincoln ITR:SW: Collaborative Research: A New Generation of Scalable, Cost-Effective Regression Testing Techniques Collaborating PI: Gregg Rothermel (CCR-0080900)This project is carried out in collaboration with Gregg Rothermel (CCR-0080900)of Oregon State University. Regression testing is an expensive process performed on modified software to provide confidence that modifications have not impaired its quality. To help with this process, previous research has considered various test-suite reuse techniques. Despite progress with these techniques, they remain limited along several dimensions. For example, they typically assume that test cases have equivalent costs, faults have equivalent severities, and fault likelihood is constant across portions of a program. These assumptions are unrealistic in practice, and limit the applicability and effectiveness of techniques. The proposed research will address these limitations. The research will provide: (1) comprehensive regression testing cost models that capture the necessary factors; (2) regression testing techniques that account for these factors; (3) more precise understanding of the effects these factors have on regression testability, program and test design, and software engineering practice; and(4) guidelines that help software engineers select and create cost-effective regression testing tools and processes. In addition to providing models, algorithms, and processes, the research includes a substantial empirical component, and will provide a publicly available base of empirical data about techniques and factors. Together, these contributions will support more efficient and effective regression testing, and improve the quality of software.

CCR-0080898 PI：Sebastian Elbaum Univ。内布拉斯加州-Lincoln ITR：SW：协作研究：新一代可扩展的，具有成本效益的回归测试技术协作PI：Gregg Rothermel（CCR-0080900）该项目是与Gregg Rothermel（CCR-0080900）合作进行的。回归测试是在修改软件上执行的昂贵过程，以确保修改并未损害其质量。为了帮助这一过程，以前的研究考虑了各种测试套件的重用技术。尽管这些技术取得了进展，但它们仍然沿着几个维度有限。例如，他们通常认为测试用例的成本，故障的严重程度等效，并且在程序的各个部分中，故障的可能性是恒定的。这些假设在实践中是不现实的，并且限制了技术的适用性和有效性。拟议的研究将解决这些局限性。研究将提供：（1）捕获必要因素的全面回归测试成本模型；（2）回归测试技术，以说明这些因素；（3）对这些因素对回归测试性，程序和测试设计以及软件工程实践的影响的影响更加精确；（4）帮助软件工程师选择并创建具有成本效益的回归测试工具和流程的指南。除了提供模型，算法和过程外，研究还包括实质性的经验组成部分，并将提供有关技术和因素的经验数据的公开可用基础。这些贡献将共同支持更高效，有效的回归测试，并提高软件的质量。