Identifying Key Characteristics of Business Rules That Affect Software Project Success

Today, businesses need to continuously adjust to a dynamic environment. Enterprises have to deal with global competition and technological advances, meet government regulations, and keep their expenses under control. Under these pressures, enterprises need to implement and improve software that supports and helps to evolve their business. However, as practice shows, software implementation projects are complex, and a considerable percentage of them do not meet business requirements. Therefore, a business needs to manage software implementation properly. Existing research shows that using business rules (BR) in software implementation projects helps to ensure its success. The purpose of our study is to advance the understanding of how BR affect software implementation success, namely, which key characteristics of BR are the most important. To achieve this goal, the top thousand enterprises in Slovenia, by added value, facing typical software implementation projects were surveyed. The obtained results show that BR that are specifically prepared for a particular project and easy to understand have a statistically significant positive effect on software implementation project success.

Measuring Inconsistency over Sequences of Business Rule Cases

We investigate inconsistency and culpability measures for multisets of business rule bases. As companies might encounter thousands of rule bases daily, studying not only individual rule bases separately, but rather also their interrelations, becomes necessary. As current works on inconsistency measurement focus on assessing individual rule bases, we therefore present an extension of those works in the domain of business rules management. We show how arbitrary culpability measures (for single rule bases) can be automatically transformed for multisets, propose new rationality postulates for this setting, and investigate the complexity of central aspects regarding multi-rule base inconsistency measurement.

Discovery and Application of Data Dependencies

This work makes contributions that reach central problems in connection with data dependencies. The first problem regards the discovery of dependencies of high expressive power. We introduce an efficient algorithm for the discovery of denial constraints: a type of dependency that has enough expressive power to generalize other important types of dependencies and to express complex business rules. The second problem concerns the application of dependencies for improving data consistency. We present a modification for traditional dependency discovery approaches that enables the dependency discovery algorithms to return reliable results even if they run on data containing some inconsistent records. Also, we present a system for detecting violations of dependencies efficiently. Our extensive experimental evaluation shows that our system is up to three orders-of-magnitude faster than state-of-the-art solutions, especially for larger datasets and massive numbers of dependency violations. The last contribution in this work regards the application of dependencies in query optimization. We present a system for the automatic discovery and selection of functional dependencies. Our experimental evaluation shows that our system selects relevant functional dependencies that help reducing the overall query response time for various types of query workloads.

IoT-Driven Workflows for Risk Management and Control of Beehives

The internet of things (IoT) and Industry 4.0 technologies are becoming widely used in the field of apiculture to enhance honey production and reduce colony losses using connected scales combined with additional data, such as relative humidity and internal temperature. This paper exploits beehive weight measurements and builds appropriate business rules using two instruments. The first is an IoT fixed scale installed on one hive, taking rich continuous measurements, and used as a reference. The second is a portable nomad scale communicating with a smartphone and used for the remaining hives. A key contribution will be the run and triggering of a business process model based on apicultural business rules learned from experience and system observed events. Later, the evolution of the weight of each individual hive, obtained by either measurement or inference, will be associated with a graphical workflow diagram expressed with the business process model and notation (BPMN) language, and will trigger events that inform beekeepers to initiate relevant action. Finally, the BPMN processes will be transformed into executable models for model driven decision support. This contribution improves amateur and professional user-experience for honeybee keeping and opens the door for interoperability between the suggested model and other available simulations (weather, humidity, bee colony behavior, etc.).

http://habibiaislamicus.com/index.php/hirj/article/view/207

In Islamic law of Business rules, there is a terminology of “Muqassah”, which in Arabic etymology means, Debt settlement by a contra transaction when someone is indebted to a person and this person in the same time is indebted to the first one of the similar amounts of money. In terminology point of view, Muqassah means the discharge of a debt receivable against a debt payable or. Thus, muqassah is one of the ways to pay someone’s debt. New forms of Muqassah have been introduced in the modern Islamic banking system. It has turned into a complexed system after the emergence of modern technology. Therefore, there is a great need to discuss the modern application of the rules of set-off already set forth by Shariah to modern financial transaction. These modern applications include set-off between customer and financial institution and also between tow financial institutions through cheque and sometimes through clearing house. This sett-off may take place through national and international networking system. This article proceeds with an introduction of the term “Muqassah” and other related terms. It further discusses the classification, conditions and shariah ruling of each type of “Muqassah” (Set off). The article ends with conclusion of this discussion about set-off.

System of rules integration problems and solutions to enterprise resource planing systems

A Business rules (BR) and business rules engine (BRE) enables an organization to increase its agility and speed to adapt to business process changes. This article analyzes business rules, business rules engines, and possibilitiesof their applying in resourcesmanagement systems used by enterprises.Ways of implementing business rules are discussed, considering peculiarities of business resources engines. The analysis shows that one of the ways to employ business rules is databasemanagementwith the help of triggers. An analysis of business rules engines is performed, and an extension realizing business rules transformation intoDBMS triggers is suggested.