Mutation of Java objects

R. Alexander, J. Bieman, Sudipto Ghosh, Bixia Ji
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引用次数: 65

Abstract

Fault insertion based techniques have been used for measuring test adequacy and testability of programs. Mutation analysis inserts faults into a program with the goal of creating mutation-adequate test sets that distinguish the mutant from the original program. Software testability is measured by calculating the probability that a program will fail on the next test input coming from a predefined input distribution, given that the software includes a fault. Inserted faults must represent plausible errors. It is relatively easy to apply standard transformations to mutate scalar values such as integers, floats, and character data, because their semantics are well understood. Mutating objects that are instances of user defined types is more difficult. There is no obvious way to modify such objects in a manner consistent with realistic faults, without writing custom mutation methods for each object class. We propose a new object mutation approach along with a set of mutation operators and support tools for inserting faults into objects that instantiate items from common Java libraries heavily used in commercial software as well as user defined classes. Preliminary evaluation of our technique shows that it should be effective for evaluating real-world software testing suites.
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Java对象的变异
基于故障插入的技术已被用于测量程序的测试充分性和可测试性。突变分析将错误插入程序中,目的是创建足够的突变测试集,将突变与原始程序区分开来。软件可测试性是通过计算程序在来自预定义输入分布的下一个测试输入中失败的概率来度量的,假设软件包含一个错误。插入的错误必须表示合理的错误。应用标准转换来改变标量值(如整数、浮点数和字符数据)相对容易,因为它们的语义很容易理解。改变作为用户定义类型实例的对象比较困难。如果不为每个对象类编写自定义的突变方法,显然没有办法以与实际错误一致的方式修改这些对象。我们提出了一种新的对象突变方法,以及一组突变操作符和支持工具,用于将错误插入到对象中,这些对象实例化了商业软件中大量使用的公共Java库中的项以及用户定义的类。对我们技术的初步评估表明,它对于评估真实世界的软件测试套件应该是有效的。
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Test reuse in the spreadsheet paradigm Heterogeneous software reliability modeling Toward a quantifiable definition of software faults Emulation of software faults by educated mutations at machine-code level Metrics for measuring the effectiveness of software-testing tools
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