Rule Testing with JRules

Jérôme Boyer () and Hafedh Mili ()
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Jérôme Boyer: IBM
Hafedh Mili: Université du Québec, Montréal

Chapter Chapter 15 in Agile Business Rule Development, 2011, pp 471-499 from Springer

Abstract: Abstract Target audience Developer, software architect In this chapter you will learn How testing is supported in ILOG JRules 7.1 How to verify during authoring phase the rule consistency How to tune the rule execution performance Key points Rule analysis uses a search engine, which helps to find inconsistencies among a ruleset, like rule never selected, wrong operator, redundant rules … Searching for inconsistencies within a ruleset is an important capability to improve the ruleset quality. Semantic queries help to search for rules impacting others. Decision Validation Service offers the capability for the business users to test the ruleset in isolation and execute simulation: tests compared using key performance indicator.For each ruleset, assess with business users the need of using DVS. Business users use RTS and DVS together to update, rules, data set, scenarios, and to execute the suite of scenarios against a given ruleset.Performance of a rule engine is impacted by the number of rules, number of conditions in the rules, and the number of objects inserted in the working memory. Most business applications do not have performance problem. When needed, it is always possible to perform some tuning to improve performance.

Keywords: Test Suite; Pattern Match; Test Scenario; Decision Table; Excel File (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1007/978-3-642-19041-4_15

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