Modeling and Analysis of Boundary Objects and Methodological Islands in Large-Scale Systems Development
Paper in proceedings, 2020

Large-scale systems development commonly faces the challenge of managing relevant knowledge between different organizational groups, particularly in increasingly agile contexts. In previous studies, we found the importance of analyzing methodological islands (i.e., groups using different development methods than the surrounding organization) and boundary objects between them. In this paper, we propose a metamodel to better capture and analyze coordination and knowledge management in practice. Such a metamodel can allow practitioners to describe current practices, analyze issues, and design better-suited coordination mechanisms. We evaluated the conceptual model together with four large-scale companies developing complex systems. In particular, we derived an initial list of bad smells that can be leveraged to detect issues and devise suitable improvement strategies for inter-team coordination in large-scale development. We present the model, smells, and our evaluation results.

Boundary objects

Agile development

Empirical studies

Author

Rebekka Wohlrab

Systemite AB

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers)

University of Gothenburg

Jennifer Horkoff

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Testing, Requirements, Innovation and Psychology

University of Gothenburg

Rashidah Kasauli

University of Gothenburg

Salome Honest Maro

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Testing, Requirements, Innovation and Psychology

University of Gothenburg

Jan-Philipp Steghöfer

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Testing, Requirements, Innovation and Psychology

University of Gothenburg

Eric Knauss

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for Testing, Requirements, Innovation and Psychology

University of Gothenburg

Lecture Notes in Computer Science

0302-9743 (ISSN)

Vol. 12400 575-589

39th International Conference on Conceptual Modeling (ER)
Vienna, Austria,

Subject Categories

Software Engineering

Information Science

Information Systemes, Social aspects

DOI

10.1007/978-3-030-62522-1_42

More information

Latest update

12/3/2020