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20212026
most citedThe Influence of Cognitive Biases on Architectural Technical Debt

15 citations · 16 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.SE2026

Hidden or Formal Architects: Understanding Who Makes Architectural Decisions in Practice

Klara Borowa, Dominik Nowak, Mikołaj Nowak

Empirical research on software architecture sometimes focuses on individuals holding the formal title of software architect. However, not all companies have individuals hired in su…

cs.SE2026

How Software Engineering Research Overlooks Local Industry: A Smaller Economy Perspective

Klara Borowa, Andrzej Zalewski, Lech Madeyski

The software engineering researchers from countries with smaller economies, particularly non-English speaking ones, represent valuable minorities within the software engineering co…

cs.SE2023★ 15 cited

The Influence of Cognitive Biases on Architectural Technical Debt

Klara Borowa, Andrzej Zalewski, Szymon Kijas

Cognitive biases exert a significant influence on human thinking and decision-making. In order to identify how they influence the occurrence of architectural technical debt, a seri…

cs.SE2023

What rationales drive architectural decisions? An empirical inquiry

Klara Borowa, Rafał Lewanczyk, Klaudia Stpiczyńska +2

Architectural decision-making is a crucial concern for researchers and practitioners alike. There is a rationale behind every architectural decision that motivates an architect to…

cs.SE2022

Debiasing architectural decision-making: a workshop-based training approach

Klara Borowa, Maria Jarek, Gabriela Mystkowska +2

Cognitive biases distort the process of rational decision-making, including architectural decision-making. So far, no method has been empirically proven to reduce the impact of cog…

cs.SE2021★ 1 cited

Is knowledge the key? An experiment on debiasing architectural decision-making -- a pilot study

Klara Borowa, Robert Dwornik, Andrzej Zalewski

The impact of cognitive biases on architectural decision-making has been proven by previous research. In this work, we endeavour to create a debiasing treatment that would minimise…