Enterprise Architecture Debts

@inproceedings{nokey,

title = {A First Validation of the Enterprise Architecture Debts Concept},

author = {Simon Hacks and Jürgen Jung},

editor = {Dominik Bork and Henderik A. Proper },

year  = {2023},

date = {2023-06-12},

urldate = {2023-06-12},

journal = {International Working Conference on Exploring Modeling Methods for Systems Analysis and Development},

abstract = {The Enterprise Architecture (EA) discipline is now established in many companies. The architectures of these companies changed over time. They resulted from a long creation and maintenance process containing processes and services provided by legacy IT systems (e.g., systems, applications) that were reasonable when they were created but might now hamper the introduction of better solutions. To handle those legacies, we started researching on the notion of EA debts, which widens the scope of technical debts to organizational aspects. However, no studies have yet been conducted to validate if the concept of EA debts has a positive influence. Within this work, we have experimented with students of an EA course. Half of the students were taught the concept of EA debts, while the other half was taught about another topic simultaneously. Afterward, the students performed a modeling task graded by EA experts among the criteria of effectiveness, comprehensibility, minimality, and completeness. The analysis revealed no significant difference between the quality of the created models by the different student groups.},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Historization of Enterprise Architecture Models Via Enterprise Architecture Knowledge Graphs},

author = {Robin Bråtfors and Simon Hacks and Dominik Bork},

editor = {Balbir S. Barn and Kurt Sandkuhl},

doi = {10.1007/978-3-031-21488-2_4},

year  = {2022},

date = {2022-11-30},

urldate = {2022-11-30},

booktitle = {The Practice of Enterprise Modeling. PoEM 2022},

volume = {456},

publisher = {Springer International Publishing},

address = {Cham},

series = {Lecture Notes in Business Information Processing},

abstract = {Enterprise Architecture (EA) is the discipline that aims to provide a holistic view of the enterprise by explicating business and IT alignment from the perspectives of high-level corporate strategy down to daily operations and network infrastructures. EAs are consequently complex as they compose and integrate many aspects on different architecture layers. A recent proposal to cope with this complexity and to make EAs amenable to automated and intuitive visual analysis is the transformation of EA models into EA Knowledge Graphs. A remaining limitation of these approaches is that they perceive the EA to be static, i.e., they represent and analyze EAs at a single point in time. In the paper at hand, we introduce a historization concept, a prototypical implementation, and a performance analysis for how EAs can be represented and processed to enable the analysis of their evolution.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}