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Towards Executable Business Rules
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.ORCID iD: 0000-0003-0396-1993
Blekinge Institute of Technology, Faculty of Computing, Department of Software Engineering.
2017 (English)Other (Refereed)
Abstract [en]

Context:  In today's implementations of business support systems, business rules are configured in different places of the system, and in different formats. This makes it hard to have a common view of what is defined, and to execute the same logic in different parts of systems. It is desired to have a common governance structure and a standardized way of handling the business rules.

Objective: To investigate if it is possible to support visual and logical verification of business rules and to generate executable business rules.

Method: Together with practitioners we conducted an experiment.

Results: We have implemented a machine learning pipe-line which supports visual and logical verification of business rules, and the generation of executable business rules. From a machine learning perspective, we have added the possibility for the ID3 algorithm to use continuous features.

Conclusion: The experiment shows that it is possible to support visual and logical verification of business rules, and to generate executable business rules with the help of a machine learning pipe-line.

Place, publisher, year, pages
2017.
Keyword [en]
business intent; business support system; business rules; decision tree
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-15175OAI: oai:DiVA.org:bth-15175DiVA: diva2:1143297
Note

Accepted as an Appendix.

Available from: 2017-09-21 Created: 2017-09-21 Last updated: 2017-09-25Bibliographically approved
In thesis
1. Towards Intent-Driven Systems
Open this publication in new window or tab >>Towards Intent-Driven Systems
2017 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Context: Software supporting an enterprise’s business, also known as a business support system, needs to support the correlation of activities between actors as well as influence the activities based on knowledge about the value networks in which the enterprise acts. This can be supported with the help of intent-driven systems. The aim of intent-driven systems is to capture stakeholders’ intents and transform these into a form that enables computer processing of them. Only then are different machine actors able to negotiate with each other on behalf of their respective stakeholders and their intents, and suggest a mutually beneficial agreement.

Objective: When building a business support system it is critical to separate the business model of the business support system itself from the business models used by the enterprise which is using the business support system. The core idea of intent-driven systems is the possibility to change behavior of the system itself, based on stakeholder intents. This requires a separation of concerns between the parts of the system used to execute the stakeholder business, and the parts which are used to design the business based on stakeholder intents. The business studio is a software that supports the realization of business models used by the enterprise by configuring the capabilities provided by the business support system. The aim is to find out how we can support the design of a business studio which is based on intent-driven systems.

Method: We are using the design science framework as our research frame- work. During our design science study we have used the following research methods: systematic literature review, case study, quasi experiment, and action research.

Results: We have produced two design artifacts as a start to be able to support the design of a business studio. These artifacts are the models and quasi-experiment in Chapter 3, and the action research in Chapter 4. The models found during the case study have proved to be a valuable artifact for the stakeholder. The results from the quasi-experiment and the action research are seen as new problem solving knowledge by the stakeholder.

Conclusion: The synthesis shows a need for further research regarding semantic interchange of information, actor interaction in intent-driven systems, and the governance of intent-driven systems.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2017. 129 p.
Series
Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140 ; 1
Keyword
business intent, business support system, intent-driven system, compositional system
National Category
Software Engineering
Identifiers
urn:nbn:se:bth-15141 (URN)978-91-7295-342-0 (ISBN)
Opponent
Supervisors
Projects
Professional Licentiate of Engineering Research School
Funder
Knowledge Foundation
Available from: 2017-09-22 Created: 2017-09-15 Last updated: 2017-09-22Bibliographically approved

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