Sebis Research News

The paper An Agile Framework for Modeling Smart City Business Ecosystems  was presented at the International Conference on Enterprise Information Systems 2018 (ICEIS 2018), Funchal, Madeira, Portugal. The authors (Anne Faber, Adrian Hernandez-Mendez, Sven-Volker Rehm and Florian Matthes) describe a collaborative modeling process, which empowers end-users to manage the business ecosystem models and underlying data. The paper has won the ICEIS 2018 Best Paper Award.

Our next sebis Workshop will take place on the 20th September 2018. At the workshop, the doctoral students at our chair present their current research to industry partners, hoping for feedback and new insights into practice-related questions. Topics that will be covered are Software Platforms, Software Ecosystems, Blockchain, Scaling Agile Practices, Legal Tech, and Text Mining. After the presentations, participants will have the chance to further discuss interesting topics and network during the sebis Stammtisch. 

Additional information can be found here:

https://wwwmatthes.in.tum.de/pages/jqq5yapkrlcy/Sebis-Workshop-20.-September-2018

Two papers from the chair have been accepted at this year's Software Engineering (SE) conference in Ulm, Germany:

• Braun, Daniel; Matthes, Florian
  Generating Explanations for Algorithmic Decisions of Usage-Based Insurances using Natural Language Generation
• Holl, Patrick; Scepankova, Elena; Matthes, Florian
  Smart Contract based API usage tracking on the Ethereum Blockchain

Three papers from the sebis chair have been accepted at this year's Multikonferenz Wirtschaftsinformatik (MKWI) at Lüneburg, Germany:

• Braun, Daniel; Hernandez Mendez, Adrian; Faber, Anne; Langen, Manfred; Matthes, Florian
  Customer-Centred Intermodal Combination of Mobility Services with Conversational Interfaces
• Faber, Anne; Huth, Dominik; Matthes, Florian
  State-of-the-practice in analyzing enterprises' business ecosystems
• Huth, Dominik; Faber, Anne; Matthes, Florian
  Towards an Understanding of Stakeholders and Dependencies in the EU GDPR

Moreover, Anne Faber was invited to particiapte in the panel discussion about smart services this Wednesday.

In large software engineering projects, designing software systems is a collaborative decision-making process where a group of architects and developers make design decisions on how to address design concerns by discussing alternative design solutions. For the decision-making process, involving appropriate individuals requires objectivity and awareness about their expertise. In this paper, we propose a novel expert recommendation system that identifies individuals who could be involved in tackling new design concerns in software engineering projects. The approach behind the proposed system addresses challenges such as identifying architectural skills, quantifying architectural expertise of architects and developers, and finally matching and recommending individuals with suitable expertise to discuss new design concerns. To validate our approach, quantitative evaluation of the recommendation system was performed using design decisions from four software engineering projects. The evaluation not only indicates that individuals with architectural expertise can be identified for design decision making but also provides quantitative evidence for the existence of personal experience bias during the decision-making process.