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Performance Measurement of Selected Drools Tools
Široký, Petr ; Fiedor, Jan (referee) ; Letko, Zdeněk (advisor)
Performance testing is often overlooked. This thesis describes the performance testing of the Drools Expert and Drools Fusion tools. Drools is a Business Logic Integration Platform. Expert and Fusion are parts of this platform, which provide rule based expert system and event processing capabilities respectively. Tests are designed and implemented with main focus on finding performance regression between different versions of Expert and Fusion tools. Results for two versions of these tools are discussed at the end of the thesis.
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Model-Based Testing of JBoss Drools
Široký, Petr ; Holík, Lukáš (referee) ; Letko, Zdeněk (advisor)
Model-based testing (MBT) is using a model of expected behavior of the system to automatically generate a set of tests. It aims at reducing the testing cost when compared to the traditional testing techniques. This work focuses on testing a real-world software system using the selected MBT tool OSMO. The tested system is responsible for compiling business rules and it is one of the main components of the Drools platform, developed by Red Hat. The work describes the introduction of MBT considering the good reception from the community of developers, then the creation of compiler input models and evaluation of the newly created test suite. The usage of the MBT resulted in detection of five reported and three potential issues in the tested code. Using the Drools compiler example, the work summarizes the main strengths and also weaknesses of practical use of MBT techniques.
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Dynamic Workflow Extension for Jenkins
Sviták, Jiří ; Burget, Radek (referee) ; Letko, Zdeněk (advisor)
The main of the master's thesis has been to implement a plugin for Jenkins, which enables flow control of launching Jenkins jobs by using business processes. Project jBPM 5, which is based on Business Process Model and Notation 2.0, has been used for business processes. Two sample business processes have been drafted and successfully tested to demonstrate functionality. The main output of this thesis is the jBPM plugin for Jenkins released under free license.
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Business rule learning using data mining of GUHA association rules
Vojíř, Stanislav ; Strossa, Petr (advisor) ; Pour, Jan (referee) ; Kouba, Zdeněk (referee) ; Gregor, Jiří (referee)
In the currently highly competitive environment, the information systems of the businesses should not only effectively support the existing business processes, but also have to be dynamically adaptable to the changes in the environment. There are increasing efforts at separation of the application and the business logic in the information system. One of the appropriate instruments for this separation is the business rule approach. Business rules are simple, understandable rules. They can be used for the knowledge externalization and sharing also as for the active control and decisions within the business processes. Although the business rule approach is used for almost 20 years, the various specifications and practical applications of business rules are still a goal of the active research. The disadvantage of the business rule approach is great demands on obtaining of the rules. There has to be a domain expert, who is able to manually write them. One of the problems addressed by the current research is the possibility of (semi)automatic acquisition of business rules from the different resources - unstructured documents, historical data etc. This dissertation thesis addresses the problem of acquisition (learning) of business rules from the historical data of the company. The main objective of this thesis is to design and validate a method for (semi)automatic learning of business rules using the data mining of association rules. Association rule are a known data mining method for discovering of interesting relations hidden in the data. Association rules are comprehensible and explainable. The comprehensibility of association rules is suitable for the use of them for learning of business rules. For this purpose the user can use not only simple rules discovered using the algorithm Apriori or FP-Growth, but also more complex association rules discovered using the GUHA method. Within this thesis is used the procedure 4ft-Miner implemented in the data mining system LISp Miner. The first part of this thesis contains the description of the relevant topics from the research of business rules and association rules. Business rules is not a name of one specification of standard but rather a label of the approach to modelling of business logic. As part of the work there is defined a process of selection of the most appropriate specification of business rules for the selected practical use. Consequently, the author proposed three models of involving of data mining of association rules into business rule sets. These models contain also the definition of a model for the transformation of GUHA association rules in the business rules for the system JBoss Drools. For the possibility of learning of business rules using the data mining results from more than one data set, the author proposed a knowledge base. The knowledge base is suitable for the interconnection of business rules and data mining of association rules. From the perspective of business rules the knowledge base is a term dictionary. From the perspective of data mining the knowledge base contains some background knowledge for data preprocessing and preparation of classification models. The proposed models have been validated using practical implementations in the systems EasyMiner (in conjunction with JBoss Drools) and Erian. The thesis contains also a description of two model use cases based on real data from the field of marketing and the field of health insurance.
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Performance Measurement of Selected Drools Tools
Široký, Petr ; Fiedor, Jan (referee) ; Letko, Zdeněk (advisor)
Performance testing is often overlooked. This thesis describes the performance testing of the Drools Expert and Drools Fusion tools. Drools is a Business Logic Integration Platform. Expert and Fusion are parts of this platform, which provide rule based expert system and event processing capabilities respectively. Tests are designed and implemented with main focus on finding performance regression between different versions of Expert and Fusion tools. Results for two versions of these tools are discussed at the end of the thesis.
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Dynamic Workflow Extension for Jenkins
Sviták, Jiří ; Burget, Radek (referee) ; Letko, Zdeněk (advisor)
The main of the master's thesis has been to implement a plugin for Jenkins, which enables flow control of launching Jenkins jobs by using business processes. Project jBPM 5, which is based on Business Process Model and Notation 2.0, has been used for business processes. Two sample business processes have been drafted and successfully tested to demonstrate functionality. The main output of this thesis is the jBPM plugin for Jenkins released under free license.
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Model-Based Testing of JBoss Drools
Široký, Petr ; Holík, Lukáš (referee) ; Letko, Zdeněk (advisor)
Model-based testing (MBT) is using a model of expected behavior of the system to automatically generate a set of tests. It aims at reducing the testing cost when compared to the traditional testing techniques. This work focuses on testing a real-world software system using the selected MBT tool OSMO. The tested system is responsible for compiling business rules and it is one of the main components of the Drools platform, developed by Red Hat. The work describes the introduction of MBT considering the good reception from the community of developers, then the creation of compiler input models and evaluation of the newly created test suite. The usage of the MBT resulted in detection of five reported and three potential issues in the tested code. Using the Drools compiler example, the work summarizes the main strengths and also weaknesses of practical use of MBT techniques.
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Development of help-desk ticket management system
Verner, Jan ; Šlajchrt, Zbyněk (advisor) ; Sajal, Martin (referee)
The main goal of this thesis is to develop a new help-desk ticket management system for the Etnetera Company. The chosen platform is Java. A secondary objective is to test a suitability of using a rule engine system for this type of applications. The first part of the thesis contains a theoretical introduction to business rule systems, which is followed by a part evaluating and presenting in a detail three such systems. The chosen system used for the implementation is JBoss Drools. A project environment, description of the current situation and reasons for the development of the new system are listed in the next part. The following chapter deals with the analysis of the requirements and the next-to-last chapter describes the design and implementation of the new system. The last chapter contains documentation. The main benefit of the work is a newly developed system that optimally supports the process of processing a request and other related processes at the Etnetera Company, thereby reducing the amount of unnecessary administrative work. Another benefit is a practical demonstration and deployment of business rule system for developing similar applications.
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