ats-framework | Axway Automated Testing System Framework | Testing library

 by   Axway Java Version: 4.0.8 License: Apache-2.0

kandi X-RAY | ats-framework Summary

kandi X-RAY | ats-framework Summary

ats-framework is a Java library typically used in Testing, Selenium applications. ats-framework has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.

The Axway Automated Testing System (ATS) is a Java open source testing framework. It was initially developed for the testing needs of many of the Axway products.

            kandi-support Support

              ats-framework has a low active ecosystem.
              It has 30 star(s) with 15 fork(s). There are 15 watchers for this library.
              It had no major release in the last 12 months.
              There are 1 open issues and 2 have been closed. On average issues are closed in 2 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of ats-framework is 4.0.8

            kandi-Quality Quality

              ats-framework has 0 bugs and 0 code smells.

            kandi-Security Security

              ats-framework has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              ats-framework code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              ats-framework is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              ats-framework releases are available to install and integrate.
              Deployable package is available in Maven.
              Build file is available. You can build the component from source.
              It has 139592 lines of code, 10801 functions and 1469 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed ats-framework and discovered the below as its top functions. This is intended to give you an instant insight into ats-framework implemented functionality, and help decide if they suit your requirements.
            • Process an event request .
            • Check if all indexes in the given table are on the same table .
            • Runs the sanity check .
            • Get the table content as an HTML table .
            • Invokes the action .
            • Open the file transfer .
            • Build a generic type matcher .
            • Invokes all actions in the queue .
            • Stream a file transfer .
            • Retrieves and returns all statistics in the database .
            Get all kandi verified functions for this library.

            ats-framework Key Features

            No Key Features are available at this moment for ats-framework.

            ats-framework Examples and Code Snippets

            No Code Snippets are available at this moment for ats-framework.

            Community Discussions


            When keeping bandwidth usage low is more important than performance, is it worth it to use binary serialization over JSON?
            Asked 2017-Mar-07 at 22:17

            I have a server talking to a mobile app, and this app potentially does thousands of requests per day. I don't care that much about performance in this particular case, so saving some miliseconds isn't as big as a concern as saving bandwidth - especially since I'm paying for it.

            (1) What is the advantage of using JSON over binary here, when bandwidth is a much bigger deal than performance? I mean, I have read some people saying that the size difference between raw data and JSON isn't really that much - and that might as well be partially true, but when you have thousands of daily requests being made by hundreds of thousands of users, merely doubling the amount of bytes will have a huge impact on bandwidth usage - and in the end, on the server bill.

            Also, some people said that you can easily alter the JSON output format, while changing the binary serialization might be a little more complicated. Again, I agree, but shouldn't it be a little more complicated than that? Like, what are the odds that we're gonna change our format? Will the ease of change make up for JSON's bandwidth excess?

            (2) And finally, I stumbled upon this link while doing some research on this topic, and in the summary table (Ctrl + F, 'summary') it says that the JSON data size is smaller than the actual binary data? How is that even possible?

            I would very much appreciate some answers to these questions.

            Thank you in advance.



            Answered 2017-Mar-07 at 22:17

            thousands of requests per day

            that's ... not really a lot, so most approaches will usually be fine

            What is the advantage of using JSON over binary here, when bandwidth is a much bigger deal than performance?

            JSON wouldn't usually have an advantage; usually that would go to binary protocols - things like protobuf; however, compression may be more significant than choice of protocol. If you want meaningful answers, however, the only way to get that is to test it with your data.

            If bandwidth is your key concern, I'd go with protobuf, adding compression on top if you have a lot of text data in your content (text compresses beautifully, and protobuf simply uses UTF8, so it is still available for compression).

            it says that the JSON data size is smaller than the actual binary data?

            JSON contains textual field names, punctuation (", :, ,), etc - and all values are textual rather than primitive; JSON will be larger than good binary serializers. The article, however, compares to BinaryFormatter; BinaryFormatter does not qualify as a good binary serializer IMO. It is easy to use and works without needing to do anything. If you compare against something like protobuf: protobuf will beat JSON every time. And sure enough, if we look at the table: JSON is 102 or 86 bytes (depending on the serializer); protobuf-net is 62 bytes, MsgPack is 61, BinaryFormatter is 669. Do not conflate "a binary serializer" with BinaryFormatter. I blame the article for this error, not you. MsgPack and Protocol Buffers (protobuf-net) are binary serializers, and they come out in the lead.

            (disclosure: I'm the author of protobuf-net)


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install ats-framework

            You can download it from GitHub, Maven.
            You can use ats-framework like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the ats-framework component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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