Andreas Solti

ORCID: 0000-0002-0537-6598
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About
Contact & Profiles
Research Areas
  • Business Process Modeling and Analysis
  • Service-Oriented Architecture and Web Services
  • Semantic Web and Ontologies
  • Petri Nets in System Modeling
  • Software Engineering Research
  • Big Data and Business Intelligence
  • Data Quality and Management
  • Software System Performance and Reliability
  • Formal Methods in Verification
  • Advanced Database Systems and Queries
  • Flexible and Reconfigurable Manufacturing Systems
  • Time Series Analysis and Forecasting
  • RFID technology advancements
  • Scientific Computing and Data Management
  • FinTech, Crowdfunding, Digital Finance
  • Manufacturing Process and Optimization
  • Blockchain Technology Applications and Security
  • Privacy, Security, and Data Protection
  • Advanced Statistical Process Monitoring
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Advanced Software Engineering Methodologies
  • Service and Product Innovation
  • User Authentication and Security Systems
  • Information and Cyber Security

Vienna University of Economics and Business
2014-2020

Hasso Plattner Institute
2011-2014

University of Potsdam
2011-2014

Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential realize execution without central party serving as single point trust (and failure). To stimulate research on this and limits thereof, in article, we outline challenges opportunities blockchain for process management (BPM). We first reflect how blockchains could be used context established BPM lifecycle second they might become relevant beyond....

10.1145/3183367 article EN ACM Transactions on Management Information Systems 2018-02-26

Abstract Business Process Management is a boundary-spanning discipline that aligns operational capabilities and technology to design manage business processes. The Digital Transformation has enabled human actors, information systems, smart products interact with each other via multiple digital channels. emergence of this hyper-connected world greatly leverages the prospects processes – but also boosts their complexity new level. We need discuss how BPM can find ways for identifying,...

10.1007/s12599-020-00646-z article EN cc-by Business & Information Systems Engineering 2020-04-22

The behavioural comparison of systems is an important concern software engineering research. For example, the areas specification discovery and mining are concerned with measuring consistency between a collection execution traces program specification. This problem also tackled in process help measures that describe quality automatically discovered from logs. Though various have been proposed, it was recently demonstrated they neither fulfil essential properties, such as monotonicity , nor...

10.1145/3387909 article EN ACM Transactions on Software Engineering and Methodology 2020-06-01

Nowadays, business processes are increasingly supported by IT services that produce massive amounts of event data during the execution a process. This can be used to analyze process using mining techniques discover real process, measure conformance given model, or enhance existing models with performance information. While it is essential map produced events activities model for analysis and annotation, also an important step straightforward interpretation discovery results. In order...

10.1145/2695664.2699491 article EN 2015-04-13

Batch processing refers to an organization of work in which cases are synchronized such that they can be processed as a group. Prior research has studied batch mainly from deductive angle, trying identify optimal rules for composing batches. As consequence, we lack methodological support investigate according human resources build batches settings where batching not strictly enforced. In this paper, address gap by developing technique inductively mine activation process execution data. The...

10.1109/tsc.2019.2912163 article EN IEEE Transactions on Services Computing 2019-04-27
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