Dr. Nils Weidmann

Kontakt

Vita

Publikationen

C-LAB

Wissenschaftlicher Mitarbeiter

VCard

Telefon:

+49 5251 60-6051

E-Mail:

nils.weidmann(at)upb(dot)de

Büro:

ZM2.A.03.38

Besucher:

Zukunftsmeile 2
33102 Paderborn

06/2018 - heute	Wissenschaftlicher Mitarbeiter, C-LAB, Universität Paderborn
10/2016 - 05/2018	Master Informatik, Universität Paderborn
02/2015 - 03/2018	Studentischer Mitarbeiter, Arvato Systems GmbH
04/2015 - 09/2016	Bachelor Informatik, Universität Paderborn
08/2011 - 01/2015	Duales Studium Bachelor Wirtschaftsinformatik, Bertelsmann SE & Co. KGaA
01/2012 - 12/2014	Bachelor Wirtschaftsinformatik, FHDW Paderborn
08/2011 - 06/2013	Fachinformatiker Fachrichtung Anwendungsentwicklung, Bertelsmann SE & Co. KGaA

Liste im Research Information System öffnen

2022

Collaborative Software Modeling in Virtual Reality

E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, in: Software Engineering 2022, Fachtagung des GI-Fachbereichs Softwaretechnik, 21.-25. Februar 2022, Virtuell, Gesellschaft für Informatik e.V., 2022, pp. 93–94

DOI

Situational Development of Low-Code Applications in Manufacturing Companies

J. Kirchhoff, N. Weidmann, S. Sauer, G. Engels, in: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022

Abstract

DOI

Companies show an increasing interest in low-code development platforms to facilitate application development by domain experts without sophisticated software development knowledge. Thus, companies aim for a more efficient development of more effective applications since domain experts as so-called citizen developers are no longer limited by the availability and domain knowledge of trained software developers. Nevertheless, efficiency and effectiveness of application development is traditionally also largely influenced by the use of a suitable software development method. Domain experts are, however, not trained in software development methods. This introduces a risk of domain experts creating unusable applications or exceeding the designated time frame of a project (or both). In this paper, we therefore propose an initial version of a situational software development method which supports domain experts in manufacturing companies during the low-code development of applications. The method can be tailored based on situational factors, considering application requirements, features of the used low-code development platform, and characteristics of the development team. We also present feedback corroborating the usefulness of our method and future extension points based on expert interviews.

Low-code experimentation on software products

S. Gottschalk, R. Bhat, N. Weidmann, J. Kirchhoff, G. Engels, in: Proceedings of the 25th International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings, ACM, 2022

DOI

Design and Evaluation of a Collaborative UML Modeling Environment in Virtual Reality

E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, International Journal on Software and Systems Modeling (SoSyM) (2022)

Human-in-the-Loop Large-Scale Model Transformations with the VICToRy Debugger

N. Weidmann, E. Yigitbas, A. Anjorin, A.. Srivastava, J. Jose, The Journal of Object Technology (2022)

2021

eMoflon: : Neo - Consistency and Model Management with Graph Databases

N. Weidmann, A. Anjorin, in: {STAF} 2021 Workshop Proceedings: 9th International Workshop on Bidirectional Transformations, Joint Workshop on Foundations and Practice of Visual Modeling and Data for Model-Driven Engineering, International workshop on {MDE} for Smart IoT Systems, 4th International Workshop on (Meta)Modeling for Healthcare Systems, and 20th International Workshop on {OCL} and Textual Modeling co-located with Software Technologies: Applications and Foundations, Federation of Conferences {(STAF} 2021), Virtual Event / Bergen, Norway, June 21-25, 2021, CEUR-WS.org, 2021, pp. 54-64

Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming

N. Weidmann, A. Anjorin, Formal Aspects of Computing (2021)

Abstract

DOI

<jats:title>Abstract</jats:title><jats:p>In the field of Model-Driven Engineering, Triple Graph Grammars (TGGs) play an important role as a rule-based means of implementing consistency management. From a declarative specification of a consistency relation, several operations including forward and backward transformations, (concurrent) synchronisation, and consistency checks can be automatically derived. For TGGs to be applicable in realistic application scenarios, expressiveness in terms of supported language features is very important. A TGG tool is schema compliant if it can take domain constraints, such as multiplicity constraints in a meta-model, into account when performing consistency management tasks. To guarantee schema compliance, most TGG tools allow application conditions to be attached as necessary to relevant rules. This strategy is problematic for at least two reasons: First, ensuring compliance to a sufficiently expressive schema for all previously mentioned derived operations is still an open challenge; to the best of our knowledge, all existing TGG tools only support a very restricted subset of application conditions. Second, it is conceptually demanding for the user to indirectly specify domain constraints as application conditions, especially because this has to be completely revisited every time the TGG or domain constraint is changed. While domain constraints can in theory be automatically transformed to obtain the required set of application conditions, this has only been successfully transferred to TGGs for a very limited subset of domain constraints. To address these limitations, this paper proposes a search-based strategy for achieving schema compliance. We show that all correctness and completeness properties, previously proven in a setting without domain constraints, still hold when schema compliance is to be additionally guaranteed. An implementation and experimental evaluation are provided to support our claim of practical applicability.</jats:p>

Automating Model Transformations for Railway Systems Engineering.

N. Weidmann, S. Salunkhe, A. Anjorin, E. Yigitbas, G. Engels, The Journal of Object Technology (2021), 10:1

DOI

Concurrent model synchronisation with multiple objectives

N. Weidmann, G. Engels, in: Proceedings of the Genetic and Evolutionary Computation Conference, 2021

DOI

Collaborative Software Modeling in Virtual Reality

E. Yigitbas, S. Gorissen, N. Weidmann, G. Engels, in: Proceedings of the 24th International Conference on Model Driven Engineering Languages and Systems (MODELS'21) , ACM/IEEE, 2021

Ensuring User Interface Adaptation Consistency through Triple Graph Grammers

K. Biermeier, E. Yigitbas, N. Weidmann, G. Engels, in: Proceedings of the International Workshop on Human-Centered Software Engineering for Changing Contexts of Use , 2021

2020

Automating test schedule generation with domain-specific languages

A. Anjorin, N. Weidmann, R. Oppermann, L. Fritsche, A. Schürr, in: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS 2020, ACM, 2020

DOI

A search-based and fault-tolerant approach to concurrent model synchronisation

N. Weidmann, L. Fritsche, A. Anjorin, in: Proceedings of the 13th ACM SIGPLAN International Conference on Software Language Engineering, SLE 2020, ACM, 2020

DOI

VICToRy: Visual Interactive Consistency Management in Tolerant Rule-based Systems

N. Weidmann, A. Anjorin, J. Cheney, in: Proceedings of the Eleventh International Workshop on Graph Computation Models, GCM@STAF 2020, EPTCS, 2020, pp. 1-12

DOI

A Model-Driven Mutation Framework for Validation of Test Case Migration

I. Jovanovikj, N. Weidmann, E. Yigitbas, A. Anjorin, S. Sauer, G. Engels, in: Proceedings of the First International Conference on Systems Modelling and Management, ICSMM 2020 , Springer, 2020

DOI

Schema Compliant Consistency Management via Triple Graph Grammars and Integer Linear Programming

N. Weidmann, A. Anjorin, in: Proceedings of the 23rd International Conference on Fundamental Approaches to Software Engineering, FASE 2020, Springer, 2020

DOI

2019

A feature-based classification of triple graph grammar variants

N. Weidmann, R. Oppermann, P. Robrecht, in: Proceedings of the 12th ACM SIGPLAN International Conference on Software Language Engineering - SLE 2019, ACM, 2019

DOI

Consistency management via a combination of triple graph grammars and linear programming

N. Weidmann, A. Anjorin, E. Leblebici, A. Schürr, in: Proceedings of the 12th ACM SIGPLAN International Conference on Software Language Engineering - SLE 2019, ACM, 2019

DOI

From Pattern Invocation Networks to Rule Preconditions

N. Weidmann, A. Anjorin, F. Stolte, F. Kraus, in: Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019, Springer, 2019, pp. 195-211

DOI

Incremental (Unidirectional) Model Transformation with eMoflon::IBeX

N. Weidmann, A. Anjorin, P. Robrecht, G. Varró, in: Proceedings of the 12th International Conference on Graph Transformation, ICGT 2019, Held as Part of STAF 2019, Springer, 2019, pp. 131-140

DOI

Incremental Bidirectional Model Transformation with eMoflon::IBeX

N. Weidmann, A. Anjorin, L. Fritsche, G. Varró, A. Schürr, E. Leblebici, in: Proceedings of the 8th International Workshop on Bidirectional Transformations co-located with the Philadelphia Logic Week, Bx@PLW 2019, CEUR-WS.org, 2019, pp. 45-55

2018

Tolerant consistency management in model-driven engineering

N. Weidmann, in: Proceedings of the 21st ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion Proceedings - MODELS '18, ACM Press, 2018

DOI

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