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CAREER: Systematic Software Testing Using Test Abstractions

CAREER: Systematic Software Testing Using Test Abstractions
职业:使用测试抽象进行系统软件测试
批准号:
0746856
负责人:
Darko Marinov
金额:
$40.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-06-01 至 2014-05-31

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英文摘要
CCF-0746856CAREER: Systematic Software Testing Using Test AbstractionsDarko MarinovSoftware testing is important for increasing software reliability, but expensive and can account for more than half of the software development cost. Automated testing can significantly help programmers to develop and maintain reliable software. However, test automation is mainly limited to test execution, while test generation remains manual and mostly ad hoc, which not only makes it hard to develop tests initially but also to maintain and reuse tests.To reduce the cost of developing, maintaining, and reusing tests, this project investigates a novel approach to automated testing based on test abstractions. Conceptually, each test abstraction provides a high-level description of a desired test suite: programmers do not need to manually write large suites of individual tests but instead write only test abstractions from which tools automatically generate individual tests. This project investigates five aspects of test abstractions: (1) What languages to use for writing test abstractions? (2) Which tests to generate from test abstractions? (3) How to automatically generate tests from test abstractions? (4) How to determine whether the code under test passed or failed? (5) How to determine which failing tests are caused by the same code error?
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SHF: Medium: Collaborative Research: Enhancing Continuous Integration Testing for the Open-Source Ecosystem
EAGER: USBRCCR: Collaborative: Lightweight Policy Enforcement of Information Flows in IoT Infrastructures
CPS: Synergy: Collaborative Research: Support for Security and Safety of Programmable IoT Systems
SHF: Medium: Collaborative Research: Improved Performance Testing and Debugging
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