Learning From Each Other: How Are Architectural Mistakes Communicated in Industry?
July 10, 2023 Β· Declared Dead Β· π European Conference on Software Architecture
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Marion Wiese, Axel-Frederik Brand, AndrΓ© van Hoorn
arXiv ID
2307.05575
Category
cs.SE: Software Engineering
Citations
0
Venue
European Conference on Software Architecture
Last Checked
4 months ago
Abstract
Context. Own experiences and faulty decisions can be an important source of information for software architects. The experiences and mistakes of other architects can also be valuable information sources. Goal. Under the assumption that the knowledge about faulty decisions, i.e., mistakes, regarding software architecture is not shared adequately in practice, this work qualitatively investigates the handling and particularly communication of those mistakes by software architects. Method. We conducted a grounded-theory study in which we interviewed ten German software architects from various domains. Results. We identified software architects' definitions of architectural mistakes, their handling of these mistakes, and their preferred communication strategies regarding these mistakes. We found that architects communicate mistakes mainly within their project teams and seldom within or across companies. Conclusions. We derived strategies to make learning and prevention of mistakes more effective. To share experiences and knowledge beyond architects' peer groups, companies should invest more effort in discussing mistakes more consciously and create an environment where mistakes can be discussed openly.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Software Engineering
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Microservices: yesterday, today, and tomorrow
π
π
The Cartographer
A Survey of Machine Learning for Big Code and Naturalness
R.I.P.
π»
Ghosted
An Overview on Smart Contracts: Challenges, Advances and Platforms
R.I.P.
π»
Ghosted
Slither: A Static Analysis Framework For Smart Contracts
R.I.P.
π»
Ghosted
ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted