Java Beans dot Asia

I came across a Firefox Add-On today by Matthias Tylkowski, that lets user to modify the browser view of his/her preferred web pages. For example, user can modify the appearance of cnn.com to suit his/her needs. The add-on or the web rules is a JSON-based rule language, where each rule is a JSON object. In [...]

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I came across a blog by a company called Illation. What those guys do is compare performance of several rule engines available on the market: Drools, ILog, OPSJ and Jess. The stress tests cover different aspects, for example: Rules firing time Data load time Memory usage Pre-run memory used Post-run memory used The test results [...]

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In my previous post Drools 5 – Complex Event Processing, I gave introduction to Drools Fusion module. In the current post, I would like to demonstrate Drools Fusion capabilities. As an example chosen for the current article, I decided to use a scenario when an insurance firm rewards its policy members. The members are rewarded [...]

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From Drools version 4 to version 5, the framework has undergone quite a few improvements. These include support for three additional business modeling techniques. So today, Drools is not only a rule engine, but much more than that. One of these techniques is event processing. The module that added event processing capabilities to the framework [...]

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One of the blog readers, who posted a comment in my previous post Drools – tutorial on writing DSL template asked to me to help him with creating DSL for the following rule, so I decided to use his example as a small case study: For readability, I added some comments to the original rule: [...]

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