Talks and Poster Presentations (with Proceedings-Entry):

S. Biffl, L. Kathrein, A. Lüder, K. Meixner, R. Sabou, L. Waltersdorfer, D. Winkler:
""Software Engineering Risks from Technical Debt in the Representation of Product/ion Knowledge "";
Talk: 31st International Conference on Software Engineering & Knowledge Engineering (SEKE 2019), Lisbon, Portugal; 2019-07-10 - 2019-07-12; in: "Proceedings SEKE 2019", KSI Research Inc. and Knowledge Systems Institute Graduate School, (2019), ISBN: 1-891706-48-9.

English abstract:
In the multi-disciplinary production systems engineering
(PSE) process, software engineers depend on requirements and design rationales coming from product and production process
planning, summarized as product/ion knowledge. Unfortunately,
the engineering artifacts coming from product/ion planning often
represent important product/ion knowledge incompletely and not
well integrated, leading to risks regarding software engineering
quality. In this paper, we report on a case study at a large industrial PSE organization, investigating Technical Debt (TD) effects,
items, and causes in PSE process documentation and configuration
management according to the VDI guideline 3695 Part 2. We focus
on requirements for and issues in the representation of product/ion
knowledge in the engineering data provided to software engineers.
Based on data elicited from PSE domain experts, we model TD
concepts based on the Quality Function Deployment method as
foundation for TD analysis and risk management. The initial validation with domain experts revealed how software engineers could
benefit from improved product/ion knowledge modeling as foundation for better understanding the rationale of engineering design

Multi-Disciplinary Production Systems Engineering, Product/ion Knowledge, Product-Process-Resource (PPR) Model, Process Management, Technical Debt

Created from the Publication Database of the Vienna University of Technology.