Deriving Event Logs from Legacy Software Systems

Abstract. The modernization of legacy software systems is one of the key challenges in software industry, which requires comprehensive system analysis. In this context, process mining has proven to be useful for understanding the (business) processes implemented by the legacy software system. However, process mining algorithms are highly dependent on both the quality and existence of suitable event logs. In many scenarios, existing software systems (e.g., legacy applications) do not leverage process engines capable of producing such high-quality event logs, which hampers the application of process mining algorithms. Deriving suitable event log data from legacy software systems, therefore, constitutes a relevant task that fosters data-driven analysis approaches, including process mining, data-based process documentation, and process-centric software migration. This paper presents an approach for deriving event logs from legacy software systems by combining knowledge from source code and corresponding database operations. The goal is to identify relevant business objects as well as to document user and software interactions with them in an event log suitable for process mining

Develop a generic Rules Engine to quality control a CV database

This bachelor’s thesis presents a software solution to enhance Bouvet’s quality control process for employee CVs. By implementing a generic rule engine with extended functionalities, we identified that 90% of the CVs at Bouvet did not meet the company’s business standards. Using Scrum with Extreme Programming as our project management system, we developed a scalable and maintainable pilot, employing Microservices, Event-Driven, and Command and Query Responsibility Segregation architecture. Our pilot allows for future modifications using create, read, update and delete operations. The software solution presented in this thesis can be extended to a production-ready state by implementing an Role-based access control and an API-Gateway. When the event bus project by another group at Bouvet is completed, our implementation will be able to notify employees about their CVs’ status, further improving the quality control process. Overall, our results demonstrate the our software solution and project management system in enhancing the quality control of employee CVs at Bouvet.This bachelor’s thesis presents a software solution to enhance Bouvet’s quality control process for employee CVs. By implementing a generic rule engine with extended functionalities, we identified that 90% of the CVs at Bouvet did not meet the company’s business standards. Using Scrum with Extreme Programming as our project management system, we developed a scalable and maintainable pilot, employing Microservices, Event-Driven, and Command and Query Responsibility Segregation architecture. Our pilot allows for future modifications using create, read, update and delete operations. The software solution presented in this thesis can be extended to a production-ready state by implementing an Role-based access control and an API-Gateway. When the event bus project by another group at Bouvet is completed, our implementation will be able to notify employees about their CVs’ status, further improving the quality control process. Overall, our results demonstrate the our software solution and project management system in enhancing the quality control of employee CVs at Bouvet

Develop a generic Rules Engine to quality control a CV database

This bachelor’s thesis presents a software solution to enhance Bouvet’s quality control process for employee CVs. By implementing a generic rule engine with extended functionalities, we identified that 90% of the CVs at Bouvet did not meet the company’s business standards. Using Scrum with Extreme Programming as our project management system, we developed a scalable and maintainable pilot, employing Microservices, Event-Driven, and Command and Query Responsibility Segregation architecture. Our pilot allows for future modifications using create, read, update and delete operations. The software solution presented in this thesis can be extended to a production-ready state by implementing an Role-based access control and an API-Gateway. When the event bus project by another group at Bouvet is completed, our implementation will be able to notify employees about their CVs’ status, further improving the quality control process. Overall, our results demonstrate the our software solution and project management system in enhancing the quality control of employee CVs at Bouvet.This bachelor’s thesis presents a software solution to enhance Bouvet’s quality control process for employee CVs. By implementing a generic rule engine with extended functionalities, we identified that 90% of the CVs at Bouvet did not meet the company’s business standards. Using Scrum with Extreme Programming as our project management system, we developed a scalable and maintainable pilot, employing Microservices, Event-Driven, and Command and Query Responsibility Segregation architecture. Our pilot allows for future modifications using create, read, update and delete operations. The software solution presented in this thesis can be extended to a production-ready state by implementing an Role-based access control and an API-Gateway. When the event bus project by another group at Bouvet is completed, our implementation will be able to notify employees about their CVs’ status, further improving the quality control process. Overall, our results demonstrate the our software solution and project management system in enhancing the quality control of employee CVs at Bouvet

Business process quality measurement using advances in static code analysis

Business process models play an important role in the life of a company. Resemblances between software programs and business processes inspired several researchers to adapt software metrics from the field of static code analysis to help designers to build more effective and understandable processes. This paper aims to add recent advances in software quality measurement such as benchmarking and ISO/IEC 25010 standard based quality models to business process quality measurement. These techniques were proved to be very useful in software engineering both for managers and developers; moreover, they can be easily adopted to business process workflows. We focused on a specific type of flowchart called event-driven process chain (EPC), because in an EPC the activities are very often managed by software systems and our assumption is that the quality of these software systems affects the quality of the EPC itself. The presented business process quality model also uses the quality and test coverage metrics of these software systems besides business process metrics

A Method and Tool for Predictive Event-Driven Process Analytics

Business value can be lost if a decision maker’s action distance to the observation of a business event is too high. So far, two classes of information systems, which promise to assist decision makers, have been discussed independently from each other only: business intelligence systems that query historic business event data in order to prepare predictions of future process behavior and real-time monitoring systems. This paper suggests using real-time data for predictions following an event-driven approach. A predictive event-driven process analytics (edPA) method is presented which integrates aspects from business activity monitoring and process intelligence. Needs for procedure integration, metric quality, and the inclusion of actionable improvements are outlined. The method is implemented in the form of a software prototype and evaluated

Innovative Trends in Process-Oriented Quality Management within Railway Transport

It is currently a pressing problem to identify quality not only before the start of transportation and during it but also after the end of transportation. Apparently, in the area of service provision in railway transport, it is important to take into account the fact that customers’ requirements change over time, and thus a new software approach is required. Therefore, this paper is focused on the newest solution to monitoring process quality applied to railway companies by using various types of appropriate software. This approach is particularly significant within the whole transportation chain and also through division into its single constituent stages. In comparison with previously used methods, the established research methodology is unique, universal, and applicable to various types of companies in the context of the introduction of new trends in process-oriented quality management. Consequently, it was supported by software solutions using various quality areas defined within the research and software support, namely through Business Process Modelling Notation, Event-Driven Process Chain, and Unified Modelling Language with links to brand-new software. This focus, therefore, involves more than just knowing what customer requirements are about, but understanding how it is possible to accomplish quality targets and which operational failure should be solved in the first place

A Regression Test Selection Technique for Graphical User Interfaces

Regression testing is a quality control measure to ensure that the newly modified part of the software still complies with its specified requirements and that the unmodified part has not been affected by the maintenance activity. Regression testing is an important and expensive activity during the software maintenance process and its purpose is to ensure quality and reliability in modified software. Regression testing selection techniques are focused on the reusability of existing test suites for a modified program from a previous version. Many regression testing selection techniques have been approached for conventional and object-oriented software. There is little discussion about those techniques to be applied for the Graphical User Interfaces (GUIs). This thesis addresses the gap. GUIs have characteristics different from traditional software, and the conventional testing techniques do not directly apply to GUIs. Unlike most previous techniques for selective retest, this thesis focuses on developing an event driven regression testing selection technique for GUIs. It defines an event dependence graph (EDG) to identify the interaction and relationship of the events within GUI components, develops an algorithm to construct the EDG for GUIs, and presents the GUI modeling structure and its selection retest technique. An algorithm is given to determine and generate a modified test suite automatically for GUI based on its original version. Experiments are presented on an implementation of this solution and discusses newly found challenges when applied to an established GUI application. Finally, feasibility and future areas of research are addressed on the findings during the implementation of the solution

The AI Bus architecture for distributed knowledge-based systems

The AI Bus architecture is layered, distributed object oriented framework developed to support the requirements of advanced technology programs for an order of magnitude improvement in software costs. The consequent need for highly autonomous computer systems, adaptable to new technology advances over a long lifespan, led to the design of an open architecture and toolbox for building large scale, robust, production quality systems. The AI Bus accommodates a mix of knowledge based and conventional components, running on heterogeneous, distributed real world and testbed environment. The concepts and design is described of the AI Bus architecture and its current implementation status as a Unix C++ library or reusable objects. Each high level semiautonomous agent process consists of a number of knowledge sources together with interagent communication mechanisms based on shared blackboards and message passing acquaintances. Standard interfaces and protocols are followed for combining and validating subsystems. Dynamic probes or demons provide an event driven means for providing active objects with shared access to resources, and each other, while not violating their security

Translating message sequence charts to other process languages using process mining

Message Sequence Charts (MSCs) are a well known language for specifying scenarios that describe how di??erent actors (e.g., system components, people, or organizations) interact. MSCs are often used as a starting point for software analysts to discuss the behavior of a system with di??erent stakeholders. Often such discussions lead to more complete behavioral models described by e.g. Event-driven Process Chains (EPCs), UML activity diagrams, BPMN models, Petri nets, etc. The contribution of this paper is to present a method that uses process mining to translate a set of MSCs that represent example scenarios into a complete process model, e.g., represented in terms of EPCs or Petri nets. Our approach takes MSCs and translates them into a special kind event logs. Unlike all known process mining techniques, we use a new approach that uses event logs containing explicit causal dependencies. This allows us to discover high-quality process models. The approach has been implemented in the process mining framework ProM