Enterprise Architecture Debts

@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},

year  = {2022},

date = {2022-11-30},

booktitle = {The Practice of Enterprise Modeling},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {nterprise 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 = {forthcoming},

tppubtype = {inproceedings}

}

@inproceedings{10.1007/978-3-031-13181-3_11,

title = {A Viewpoints-Based Analysis of Enterprise Architecture Debt},

author = {Ather Maqsood and Peter Alexander and Horst Lichter and Sansiri Tanachutiwat},

editor = {Chua-Chin Wang and Arumugam Nallanathan},

isbn = {978-3-031-13181-3},

year  = {2022},

date = {2022-11-01},

urldate = {2022-01-01},

booktitle = {Proceedings of the 5th International Conference on Signal Processing and Information Communications},

pages = {133--154},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {Technical debt solely focuses on the technical aspect and fails to provide a holistic view to address the misalignment between business and IT aspects of enterprise architecture (EA). To provide a more holistic view and to include the business aspect in the context of debt, researchers have proposed the concept of EA debt. It refers to the gap between the present state and the hypothetically ideal state of EA. EA debt, if accumulated, has negative impacts on the enterprise and can result in a decrease in the value, maintainability, agility, and efficiency of EA. Therefore, it is very crucial to manage EA debt. Furthermore, each stakeholder in the enterprise has an interest in certain aspects and areas of EA. By applying viewpoints, stakeholders can analyze EA debt by focusing on aspects and areas of their interest. By analyzing EA debt, stakeholders can make informed decisions during EA debt management (EADM). This paper presents a systematic mapping study carried out to collect predefined viewpoints from areas of enterprise architecture, software architecture, and technical debt. The collected viewpoints are then assessed to determine if they can be used for the analysis of EA debt. Further, six categories are defined to categorize EA debt viewpoints based on their purpose and content.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Using Knowledge Graphs to Detect Enterprise Architecture Smells (Extended Abstract)},

author = {Simon Hacks and Muhamed Smajevic and Dominik Bork},

editor = {Henrik Leopold and Henderik A. Proper},

year  = {2022},

date = {2022-06-05},

booktitle = {EMISA 2022},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}