Experiences applying e3 value modeling in a cross-company study
Paper in proceedings, 2018

Driven by business interests, (product/customer) value has become a critical topic in system and software engineering as well as enterprise planning. The conceptual modeling community has responded to this challenge with several modeling approaches, including e3 value modeling, focusing on capturing and analyzing value flows in value networks. This modeling approach has risen from practical e-commerce experiences and has been further studied in an academic context. In this experience paper, we report the advantages and disadvantages of applying e3 value modeling as part of a cross-company case study focusing on understanding the internal and external value of APIs from a strategic perspective. We found that value modeling was generally well-received and understood by the company representatives, but also found drawbacks when used in our context, including challenges in modeling internal value networks, capturing problematic or missing values, finding quantitative value measures, and showing underlying motivations for flows. Our findings can help to improve language aspects, methods and tools, and can help to guide future value analysis in similar contexts.

Multi-case Studies

Empirical Studies

Modeling Experiences

E Value Modeling 3

Value Modeling

Author

Jennifer Horkoff

University of Gothenburg

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

Juho Lindman

University of Gothenburg

Imed Hammouda

Chalmers, Computer Science and Engineering (Chalmers), Software Engineering (Chalmers), Software Engineering for People, Architecture, Requirements and Traceability

University of Gothenburg

South Mediterranean University

Eric Knauss

University of Gothenburg

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

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 11157 LNCS 610-625

37th International Conference on Conceptual Modeling, ER 2018
Xi'an, China,

Subject Categories

Other Engineering and Technologies not elsewhere specified

Software Engineering

Information Science

DOI

10.1007/978-3-030-00847-5_45

More information

Latest update

12/9/2019