Jürgen Börstler

Professor

Blekinge Institute of Technology

Sweden

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Jürgen Börstler is a Professor at the Blekinge Institute of Technology in Sweden. His research focuses on software engineering, particularly in areas such as machine learning techniques for bug report classification, heuristics for detecting software smells, and the impact of software metrics on quality attributes. He has published extensively, including studies on software engineering education and decision-making in regression testing.

Articles (18)

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2025

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2025

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2024

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2023

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2022

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2022

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2022

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2021

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2021

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2020

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2020

Collaborators (4)

Amjed Tahir

Senior Lecturer

Massey University

NEW ZEALAND

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Carsten Kleiner

Professor

University of Applied Sciences and Arts University of Applied Sciences and Arts Hildesheim/Holzminden/Göttingen

GERMANY

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Michael Unterkalmsteiner

Blekinge Tekniska Högskola

SWEDEN

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Emelie Engström

Lund University

SWEDEN

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Jürgen Börstler

Research Interests

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Articles (18)

A proposal and assessment of an improved heuristic for the Eager Test smell detection

A comparative analysis of ML techniques for bug report classification

Software engineering team project courses with industrial customers: Students’ insights on challenges and lessons learned

Acceptance behavior theories and models in software engineering—A mapping study

A tertiary study on links between source code metrics and external quality attributes

Checklists to support decision-making in regression testing

Double-counting in software engineering tertiary studies — An overlooked threat to validity

Investigating acceptance behavior in software engineering—Theoretical perspectives

A data-driven approach for understanding invalid bug reports: An industrial case study

Developers talking about code quality

Developers talking about code quality

Using goal–question–metric to compare research and practice perspectives on regression testing

Supporting refactoring of BDD specifications—An empirical study

How good are my search strings? Reflections on using an existing review as a quasi-gold standard

An empirical study on the effectiveness of data resampling approaches for cross‐project software defect prediction

Assessing test artifact quality—A tertiary study

Evaluating and strategizing the onboarding of software developers in large-scale globally distributed projects

Regression testing for large-scale embedded software development – Exploring the state of practice

Collaborators (4)

Amjed Tahir

Carsten Kleiner

Michael Unterkalmsteiner

Emelie Engström

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