RE-COST: REducing the Cost of Oracles for Software Testing

测试涉及检查系统的行为，以发现潜在的故障。确定给定输入的期望正确行为的问题称为Oracle问题。由于手工测试成本高、耗时长，因此在软件测试的自动化和部分自动化方面做了大量的工作。不幸的是，通常不可能完全自动化确定系统是否正确运行的过程。这必须由人来执行，所花费的工作成本被称为人力Oracle成本。RE-COST将开发基于搜索的优化技术，以定量和定性地解决人力Oracle成本问题。定量方法将开发方法和算法，以减少测试用例的数量和每个测试用例的评估工作。定性方法将开发方法和算法，将减少测试用例的认知时间。RE-COST项目旨在改变研究人员和从业人员对软件测试数据生成问题的思考方式。这有可能提供一个突破，在软件测试，显着增加真实的世界的工业吸收自动化技术的软件测试数据生成。

Testing involves examining the behaviour of a system in order to discover potential faults. The problem of determining the desired correct behaviour for a given input is called the Oracle Problem. Since manual testing is expensive and time consuming there has been a great deal of work on automation and part automation of Software Testing. Unfortunately, it is often impossible to fully automate the process of determining whether the system behaves correctly. This must be performed by a human, and the cost of the effort expended is referred to as the Human Oracle Cost.RE-COST will develop Search-Based Optimisation techniques to attack the Human Oracle Cost problem quantitatively and qualitatively. The quantitative approach will develop methods and algorithms to both reduce the number of test cases and the evaluation effort per test case. The qualitative approach will develop methods and algorithms that will reduce test case cognition time.The RE-COST project seeks to transform the way that researchers and practitioners think about the problem of Software Test Data Generation. This has the potential to provide a breakthrough in Software Testing, dramatically increasing real world industrial uptake of automated techniques for Software Test Data Generation.