Subhashini6317

 Profile Answers by Subhashini6317 Questions by Subhashini6317

• Sep 4th, 2006

 

The proceedure for both load and stress testing is same but load testing is done with moderate number of users but stress is done with more number of users like with heavy load.

vijay

• Sep 7th, 2006

 

load testing is usually defined as the process of exercising the system under test by feeding it the largest tasks it can operate with. Load testing is sometimes called volume testing, or longevity/endurance testing.

Example: testing a client-server application by running the client in a loop against the server over an extended period of time

Goal   : Expose bugs that do not surface in cursory testing, such as memory management bugs, memory leaks, buffer overflows
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Stress testing tries to break the system under test by overwhelming its resources or by taking resources away from it

Example : randomly shut down and restart ports on the network switches/routers that connect the servers (via SNMP commands for example)

run processes that consume resources (CPU, memory, disk, network) on the Web and database servers .

Goal   : The main purpose behind this madness is to make sure that the system fails and recovers gracefully -- this quality is known

srinivasulub1981

 Profile Answers by srinivasulub1981 Questions by srinivasulub1981

• Sep 28th, 2006

 

Hi Load testing deals with number of users and stress testing deals with number of clicks on an applicationsrinivasulu.B (srinivasulub1981@gmail.com)

sudhakar2068

 Profile 

• Oct 9th, 2006

 

load testing :A test of a computer system and its applications by running under a full complement (full load) of transactions or users. A load test can be real or simulated by testing software

          Stress testing: It is a form of testing which is used to determine the stability of a given system or entity. It involves testing beyond normal operational capacity, often to a breaking point, in order to observe the results. For example, a web server may be stress tested using scripts, bots, and various denial of service tools to observe the performance of a web site during peak loads.

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