Christopher Klinkmüller

The Commonwealth Scientific and Industrial Research Organisation | CSIRO · Data61

Blockchain technology is known for its transparency properties due to its publicly available, immutable data. Yet, as data availability does not inherently ensure transparency, further analytical methods may be required for human interpretation of data traces. Process mining has emerged as a popular toolbox for understanding processes and how they...

Among many domains being disrupted by blockchains, supply chains are at the top, as they naturally involve multi-party collaboration and regulatory restrictions spanning geographic boundaries, as well as they often demand greater transparency and trust. Blockchain technology can transform supply chains by enhancing trust, improving efficiency, and...

It may be tempting for researchers to stick to incremental extensions of their current work to plan future research activities. Yet there is also merit in realizing the grand challenges in one’s field. This paper presents an overview of the nine major research problems for the Business Process Management discipline. These challenges have been colle...

In software engineering, coupling metrics are used to assess the quality ofa software system’s architecture, especially its maintainability and understandability. On an abstract level, two types of coupling metrics can be distinguished: static metrics are solely based on source and/or byte code, and dynamic metrics also take observed run-time behav...

In software engineering, coupling metrics are used to assess the quality of a software system's architecture, especially its maintainability and understandability. On an abstract level, two types of coupling metrics can be distinguished: static metrics are solely based on source and/or byte code, and dynamic metrics also take observed run-time beha...

Blockchain technology is increasingly used to realize decentralized applications and execute cross-organizational processes. Understanding how an application is used and how partners and users participate is essential to avoid failures and plan improvements. This understanding can be built by analyzing logs; but although data is in principle given...

Through its smart contract capabilities, blockchain has become a technology for automating cross-organizational processes on a neutral platform. Process mining has emerged as a popular toolbox for understanding processes and how they are executed in practice. While researchers have recently created techniques for the challenging task of extracting...

Event logs have become a valuable information source for business process management, e.g., when analysts discover process models to inspect the process behavior and to infer actionable insights. To this end, analysts configure discovery pipelines in which logs are filtered, enriched, abstracted, and process models are derived. While pipeline opera...

Process mining has become an established set of tools and methods for analyzing process data, while blockchain is emerging as a platform for decentralized applications and inter-organizational processes. Approaches and tools have been developed for analyzing blockchain data with process mining methods, including the tools created by us: BlockXES, E...

Through its smart contract capabilities, blockchain has become a technology for automating cross-organizational processes on a neutral platform. Process mining has emerged as a popular toolbox for understanding processes and how they are executed in practice. While researchers have recently created techniques for the challenging task of extracting...

Event logs have become a valuable information source for business process management, e.g., when analysts discover process models to inspect the process behavior and to infer actionable insights. To this end, analysts configure discovery pipelines in which logs are filtered, enriched, abstracted, and process models are derived. While pipeline opera...

Event logs have become a valuable information source for business process management, e.g., when analysts discover process models to inspect the process behavior and to infer actionable insights. To this end, analysts configure discovery pipelines in which logs are filtered, enriched, abstracted, and process models are derived. While pipeline opera...

Event logs have become a valuable information source for business process management, e.g., when analysts discover process models to inspect the process behavior and to infer actionable insights. To this end, analysts configure discovery pipelines in which logs are filtered, enriched, abstracted, and process models are derived. While pipeline opera...

Process models are a central element of modern business process management technology. When adopting such technology, organizations inevitably establish process model collections which, depending on the degree of adoption, can reach sizes of thousands of models. Process model matching techniques are intended to assist experts in the management of s...

Second generation blockchain platforms, like Ethereum, can store arbitrary data and execute user-defined smart contracts. Due to the shared nature of blockchains, understanding the usage of blockchain-based applications and the underlying network is crucial. Although log analysis is a well-established means, data extraction from blockchain platform...

Blockchain technology has been gaining popularity as a platform for developing decentralized applications and executing cross-organisational processes. However, extracting data that allows analysing the process view from blockchains is surprisingly hard. Therefore, blockchain data are rarely used for process mining. In this paper, we propose a fram...

Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques, visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: anal...

Many business process management activities benefit from the investigation of event data. Thus, research, foremost in the field of process mining, has focused on developing appropriate analysis techniques , visual idioms, methodologies, and tools. Despite the enormous effort, the analysis process itself can still be fragmented and inconvenient: ana...

Predictive process monitoring is concerned with anticipating the future behavior of running process instances. Prior work primarily focused on the performance of monitoring approaches and spent little effort on understanding other aspects such as reliability. This limits the potential to reuse the approaches across scenarios. From this starting poi...

Process model matchers automatically identify activities that represent similar functionality in different process models. As such, they support various tasks in business process management including model collection management and process design. Yet, comparative evaluations revealed that state-of-the-art matchers fall short of offering high perfo...

Effective matching of activities is the first step toward successful process model matching and search. The problem is nontrivial and has led to a variety of computational similarity metrics and matching approaches, however all still with low performance in terms of precision and recall. In this paper, instead, we study how to leverage on human int...

Process model matching refers to the automatic identification of correspondences between the activities of process models. Application scenarios of process model matching reach from model validation over harmonization of process variants to effective management of process model collections. Recognizing this, several process model matching technique...

Many use cases in business process management rely on the identi�cation of correspondences between process models. However, the sparse information in process models makes matching a fundamentally hard problem. Consequently, existing approaches yield a matching quality which is too low to be useful in practice. Therefore, we investigate incorporatin...

Process model matching refers to the creation of correspondences between activities of process models. Applications of process model matching are manifold, reaching from model validation over harmonization of process variants to effective management of process model collections. Recently, this demand led to the development of different techniques f...

Comparing process models and matching similar activities has recently emerged as a research area of business process management. However, the problem is fundamentally hard when considering realistic scenarios: e.g., there is a huge variety of terms and various options for the grammatical structure of activity labels exist. While prior research has...

A recurring task when managing logistics networks in which logistics companies jointly offer services is the comparison of logistics services based on their underlying processes. The comparison is necessary for the integration of processes, the selection of logistics providers and the evaluation of a company's performance. Due to a high diversity o...

The planning of complex logistics service systems is increasingly characterized as a collaborative process with various participants involved. The planning process of a logistics service system can be rendered by a Fourth Party Logistics Service Provider (4PL) together with an existing network of logistics partners. Simulation can be used to improv...

The logistics service sector is faced with a growing complexity which needs to be handled by cooperating logistics providers aligning their services in a network. This paper introduces the Logistics Service Engineering and Management platform supporting the Fourth Party Logistics Provider business model that aims at establishing a coordinator of su...

Business capabilities represent potentials of an organisation to reach a specific goal or outcome. Business capabilities abstract from processes, resources and people that are required to provide the potential and are connected with a role model of provider and customer, both, internally and externally to an organisation. While related work provide...