LoadRunner Tips and Tricks

本文分享了使用LoadRunner进行性能测试的实用技巧,包括参数化管理、错误排查、脚本优化、资源分配策略等,旨在提升测试效率和准确性。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

From http://blog.testsautomation.com/2010/07/my-loadrunner-tips-and-tricks/

Few tips&tricks to make working with LoadRunner easy:

- Store URL of your application in one single parameter. In case you need to change it, it requires a single change in one place, not tons of them for every single web request.

- If you don’t know why your HTTP/HTTPS request is failing, use proxy to sniff it and them compare it with the same request but generated from real browser. As a proxy you can use WebScarab or Fiddler.

- Separate load logic using actions, don’t store whole load in a huge single action that LR created be default at the beginning.

- Create web_reg_find() checkpoint for every HTTP request that you make. You don’t want to pass failing transations.

- On parameter setup, beware using “Update value” set to “Once”. Rather use “Every iteration”. If you mess it up somehow, at least only current iteration will fail, not all of them.

- For scripts that handle UI actions (like Web Click&Script or AJAX Click&Script) use “Run every user as a process” instead of “Run every user as a thread”. LR is not very good at memory management for such scripts so it’s better to run each vuser separately.

- Don’t use extended log level while running test in a Controller. One more time LR is not very good at handling it. Rather use basic level and if there is an issue switch to VuGen to digg for it.

- In LR Analysis, check performance results on a summary graph instead of “Average transactions response times” graph.

- Place 1 second wait before first call to the server. If server breaks, you won’t flood it with bunch of requests.

- Try to avoid using standard C string functions (strcpy, strcat, etc…) if you can. Or if you really need, just remember about null pointer issue. More details here http://blog.testsautomation.com/2009/11/exception-access_violation/.

- Comment your code – at the end LR script is (most cases) a C program. So all programming best practices apply as well.

- Make your code to look nice (tabs, indents, etc…). It will be easier for you to work with it and spot any issue.

- Don’t hard code anything. Instead put it into parameter.

- If some calls repeat constantly, put them into separate action and call this action instead. It will help you during refactoring your tests.

- NEVER store Controller scenario in QualityCenter. It’s just bad idea. Use local hard drive for it. Controller can store really big files there.

- When you work on a script in VuGen, try to run it there at lest for 2 or 3 iterations. Sometimes errors occur only after the first iteration.

- If you want you can store LR script on a shared drive. It won’t affect your tests since Controller will always copy it to temp directory before running the scenario (even if the script is stored locally on the same drive).

- If you want to send LR script to someone use File -> Zip Operations -> Zip and Email. On popup select “Run-Time files” instead of “All files”. This second options can zip results as well which may generate really unnecessary huge file.

转载于:https://www.cnblogs.com/jessica2010/archive/2012/03/16/2399794.html

内容概要:该论文探讨了一种基于粒子群优化(PSO)的STAR-RIS辅助NOMA无线通信网络优化方法。STAR-RIS作为一种新型可重构智能表面,能同时反射和传输信号,与传统仅能反射的RIS不同。结合NOMA技术,STAR-RIS可以提升覆盖范围、用户容量和频谱效率。针对STAR-RIS元素众多导致获取完整信道状态信息(CSI)开销大的问题,作者提出一种在不依赖完整CSI的情况下,联合优化功率分配、基站波束成形以及STAR-RIS的传输和反射波束成形向量的方法,以最大化总可实现速率并确保每个用户的最低速率要求。仿真结果显示,该方案优于STAR-RIS辅助的OMA系统。 适合人群:具备一定无线通信理论基础、对智能反射面技术和非正交多址接入技术感兴趣的科研人员和工程师。 使用场景及目标:①适用于希望深入了解STAR-RIS与NOMA结合的研究者;②为解决无线通信中频谱资源紧张、提高系统性能提供新的思路和技术手段;③帮助理解PSO算法在无线通信优化问题中的应用。 其他说明:文中提供了详细的Python代码实现,涵盖系统参数设置、信道建模、速率计算、目标函数定义、约束条件设定、主优化函数设计及结果可视化等环节,便于读者理解和复现实验结果。此外,文章还对比了PSO与其他优化算法(如DDPG)的区别,强调了PSO在不需要显式CSI估计方面的优势。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值