Richard Torkar

Richard Torkar

Chalmers tekniska högskola

H-index: 33

Europe-Sweden

About Richard Torkar

Richard Torkar, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at Chalmers tekniska högskola, specializes in the field of empirical software engineering, software testing, software verification and validation, statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Not all requirements prioritization criteria are equal at all times: A quantitative analysis

A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment

Towards causal analysis of empirical software engineering data: The impact of programming languages on coding competitions

Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda

Testing the Broken Windows Theory in the context of Technical Debt

Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments

Applying Bayesian analysis guidelines to empirical software engineering data: The case of programming languages and code quality

Richard Torkar Information

University

Position

Prof. and the University of Gothenburg Sweden

Citations(all)

5561

Citations(since 2020)

2891

Cited By

3788

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

66

i10Index(since 2020)

47

Email

University Profile Page

Chalmers tekniska högskola

Google Scholar

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Richard Torkar Skills & Research Interests

empirical software engineering

software testing

software verification and validation

statistics

Top articles of Richard Torkar

Title

Journal

Author(s)

Publication Date

Not all requirements prioritization criteria are equal at all times: A quantitative analysis

Journal of Systems and Software

Richard Berntsson Svensson

Richard Torkar

2024/3/1

A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment

arXiv preprint arXiv:2402.10800

Julian Frattini

Davide Fucci

Richard Torkar

Daniel Mendez

2024/2/16

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment

arXiv preprint arXiv:2401.01154

Julian Frattini

Davide Fucci

Richard Torkar

Lloyd Montgomery

Michael Unterkalmsteiner

...

2024/1/2

Towards causal analysis of empirical software engineering data: The impact of programming languages on coding competitions

ACM Transactions on Software Engineering and Methodology

Carlo A Furia

Richard Torkar

Robert Feldt

2023/11/24

Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda

Einav Peretz-Andersson

Richard Torkar

2022

Testing the Broken Windows Theory in the context of Technical Debt

arXiv preprint arXiv:2209.01549

William Levén

Hampus Broman

Terese Besker

Richard Torkar

2022/9/4

Take a deep breath: Benefits of neuroplasticity practices for software developers and computer workers in a family of experiments

Empirical Software Engineering

Birgit Penzenstadler

Richard Torkar

Cristina Martinez Montes

2022/7

Applying Bayesian analysis guidelines to empirical software engineering data: The case of programming languages and code quality

ACM Transactions on Software Engineering and Methodology (TOSEM)

Carlo A Furia

Richard Torkar

Robert Feldt

2022/3/7

The broken windows theory applies to technical debt

arXiv preprint arXiv:2209.01549

William Levén

Hampus Broman

Terese Besker

Richard Torkar

2022

An empirical study of Linespots: A novel past‐fault algorithm

Software Testing, Verification and Reliability

Maximilian Scholz

Richard Torkar

2021/12

Early detection of sepsis using artificial intelligence: a scoping review protocol

Ivana Pepic

Robert Feldt

Lars Ljungström

Richard Torkar

Daniel Dalevi

...

2021/12

Measuring affective states from technical debt: A psychoempirical software engineering experiment

Empirical Software Engineering

Jesper Olsson

Erik Risfelt

Terese Besker

Antonio Martini

Richard Torkar

2021/9

A method to assess and argue for practical significance in software engineering

IEEE Transactions on Software Engineering

Richard Torkar

Carlo A Furia

Robert Feldt

Francisco Gomes de Oliveira Neto

Lucas Gren

...

2021/1/5

The impact of a proposal for innovation measurement in the software industry

Nauman bin Ali

Henry Edison

Richard Torkar

2020/10/5

On using grey literature and google scholar in systematic literature reviews in software engineering

Affan Yasin

Rubia Fatima

Lijie Wen

Wasif Afzal

Muhammad Azhar

...

2020/2/5

Arguing practical significance in empirical software engineering

Richard Torkar

Carlo A Furia

Robert Feldt

F Gomes de Oliveira Neto

Lucas Gren

...

2020

Bayesian data analysis in empirical software engineering: The case of missing data

Contemporary Empirical Methods in Software Engineering

Richard Torkar

Robert Feldt

Carlo A Furia

2020

Pandemic programming: How COVID-19 affects software developers and how their organizations can help

Empirical software engineering

Paul Ralph

Sebastian Baltes

Gianisa Adisaputri

Richard Torkar

Vladimir Kovalenko

...

2020/11

See List of Professors in Richard Torkar University(Chalmers tekniska högskola)

Co-Authors

H-index: 107
Vladimir Kovalenko

Vladimir Kovalenko

St. Petersburg State University

H-index: 50
Prof. Dr. Tony Gorschek

Prof. Dr. Tony Gorschek

Blekinge Tekniska Högskola

H-index: 47
Bjorn Regnell

Bjorn Regnell

Lunds Universitet

H-index: 47
Robert Feldt

Robert Feldt

Chalmers tekniska högskola

H-index: 45
Lefteris (Eleftherios) Angelis

Lefteris (Eleftherios) Angelis

Aristotle University of Thessaloniki

H-index: 28
Paul Ralph

Paul Ralph

Dalhousie University

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