Sentence examples for developers to detect from inspiring English sources

Automated reasoning like satisfiability testing allows developers to detect modeling mistakes in the early stages of development.

We have equipped our language with debugging and tracing capabilities which help developers to detect programming errors in PTL rules.

Apple made a big deal about the iPad mini providing an uncompromised iPad experience for users, and it's standing by that by making it impossible for web developers to detect whether a web page is being read on an iPad or an iPad mini.

Lunde's second use case – allowing developers to detect when a web font is loaded – is definitely a bit of a hack, but Adobe itself is using this trick in its Edge Web Fonts extension for its Brackets code editor and other developers will surely find more uses for it.

These allow the system developer to detect bugs that may be very costly to do in subsequent phases of the system development.

For this purpose, this work presents (1) a language to define such patterns; (2) a set of already defined desired and undesired patterns which usually appear in general MASs; (3) a tool that allows developers to automatically detect these patterns in logs of MAS executions; and (4) a guideline that takes developers through the testing of the communications in MASs.

As previously mentioned, developers frequently need to detect such problems in the source code due to the lack of formal architecture documentation.

It is then left up to developers and users to detect, track down, and then close off the vulnerabilities in the code that attackers are using.

The bug reports contained for example the description of the bug with some discussions among the developers on how to detect, where to detect (bug localization) and how to fix the bugs.

By sharing back translations of the initial and the modified Canadian versions of the ACT and by carrying out the subsequent analysis and dialogue, the Swedish researchers and the Canadian instrument developers were able to detect important linguistic and semantic discrepancies.

But TechCrunch understands the API in question belongs to Microsoft — namely its Cognitive Services (née Project Oxford) visual image recognition APIs, and specifically its Face API which lets developers add the ability to detect human faces and compare similar ones, organize people into groups according to visual similarity, and identify previously tagged people in images.