Apr 18, 2016 Reliability and Robustness are two very different things. I believe it would best be understood with an example. Assume that you have a product called 'The Super Cake'. Let's say it is basically a powder mixture which when mixed with some water an. Distributed applications research might be fertile ground for fault-tolerance criteria, and Google has published some of their research that might be relevant. Data modeling research likely addresses questions of robustness, as scientists are particularly interested in the properties of robustness that yield reproducible results. Robustness has been defined by the Food and Drug Administration as 'the degree to which a software system or component can function correctly in the presence of invalid inputs or stressful.
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Robustness testing is any quality assurance methodology focused on testing the robustness of software. Idm serial number 6.25. Robustness testing has also been used to describe the process of verifying the robustness (i.e. correctness) of test cases in a test process.
ANSI and IEEE have defined robustness as the degree to which a system or component can function correctly in the presence of invalid inputs or stressful environmental conditions.[1]
The term 'robustness testing' was first used by the Ballista project at Carnegie Mellon University. They performed testing of operating systems for dependability based on the data types of POSIX API, producing complete system crashes in some systems. [2] The term was also used by OUSPG and VTT researchers taking part in the PROTOS project in the context of software security testing.[3] Eventually the term Fuzzing (which security people use for mostly non-intelligent and random robustness testing) extended to also cover model-based robustness testing.
Robustness In Software EngineeringSee also[edit]References[edit]
Program Robustness In Software EngineeringRobustness Meaning In Software Engineering
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