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软件CNAS检验报告-软件第三方检测报告
Sou Hu Cai Jing· 2026-02-23 21:08
实验室地址:广东省佛山市顺德区杏坛镇顺业西路15号中集智能制造中心22栋802厂房(住所申报) (3)错误群集原则。软件错误呈现群集现象。经验表明,某程序段剩余的错误数目与该程序段中已发现的错误数目成正比,所以应该对错误群集的程序段进 行重点测试。 (4)严格性原则。严格执行测试计划,排除测试的随意性。 (5)覆盖原则。应当对每一个测试结果做全面的检查。 (6)定义功能测试原则。检查程序是否做了要做的事仅是成功的一半,另一半是看程序是否做了不属于它做的事。 (7)回归测试原则。应妥善保留测试用例,不仅可以用于回归测试,也可以为以后的测试提供参考。 国家实验室资质CNAS编号L23122,省级实验室资质CMA编号202419120184 广东省宝通质量检测有限公司 测试用例由测试输入数据和与之对应的预期输出结果这两部分组成。 3.独立测试原则 (1)独立测试原则。这是指软件测试工作由在经济上和管理上独立于开发机构的组织进行。程序员应避免检查自己的程序,程序设计机构也不应测试自己开 发的程序。软件开发者难以客观、有效地测试自己的软件,而找出那些因为对需求的误解而产生的错误就更加困难。 (2)合法和非合法原则。在设 ...
软件压力测试和性能测试的区别?软件压力测试和性能测试一样吗?
Sou Hu Cai Jing· 2025-10-27 05:39
Core Insights - Software performance testing and stress testing are distinct yet complementary aspects of software quality assurance, focusing on different objectives and execution methods [1][3]. Performance Testing - Performance testing evaluates software performance under specific load conditions, measuring response time, throughput, and resource consumption [1]. - It simulates normal or peak user access to ensure the system meets predefined requirements, such as testing a website's ability to handle 100 concurrent requests [1]. - This type of testing is conducted throughout the development cycle and can be applied to individual modules or the entire system [1]. Stress Testing - Stress testing assesses system stability and fault recovery under extreme load conditions by incrementally increasing the number of concurrent users or data volume until the system fails [1]. - For example, it may involve increasing simulated users from 50 to 5000 to identify when server response degrades or services are interrupted [1]. - This testing specifically aims to identify system bottlenecks and crash thresholds [1]. Testing Scope and Output - Performance testing covers various load scenarios, including normal operation and fatigue state validation, while stress testing focuses on overload environments [3]. - Performance testing generates response time curves and resource utilization reports, whereas stress testing records failure points and system recovery times [3]. Tool Utilization - Performance testing tools include LoadRunner for monitoring transaction processing rates and JMeter for analyzing concurrent request throughput [3]. - Stress testing tools like Gatling create high-load impacts, and Tsung simulates distributed access pressure [3]. - A specific case involved a financial platform project where customized scripts were used to replicate memory leak issues during peak transaction volumes [3]. Execution Order - Performance testing is prioritized to ensure baseline performance standards are met, followed by stress testing to validate system resilience [3].