Richard Torkar

Prefekt vid Data- och informationsteknik
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Visar 23 publikationer

2026
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Mitigating omitted variable bias in empirical software engineering

Carlo A Furia, Richard Torkar
Empirical Software Engineering. Vol. 31 (5)
Artikel i vetenskaplig tidskrift
2025
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Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment

Julian Frattini, Davide Fucci, Richard Torkar et al
Empirical Software Engineering. Vol. 30 (1)
Artikel i vetenskaplig tidskrift
2025
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Governing the commons: code ownership and code-clones in large-scale software development

Anders Sundelin, Javier Gonzalez-Huerta, Richard Torkar et al
Empirical Software Engineering. Vol. 30 (2)
Artikel i vetenskaplig tidskrift
2024

The broken windows theory applies to technical debt

William Levén, Hampus Broman, Terese Besker et al
Empirical Software Engineering. Vol. 29 (4)
Artikel i vetenskaplig tidskrift
2024
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A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment

Julian Frattini, Davide Fucci, Richard Torkar et al
PROCEEDINGS OF THE 2024 IEEE/ACM INTERNATIONAL WORKSHOP ON METHODOLOGICAL ISSUES WITH EMPIRICAL STUDIES IN SOFTWARE ENGINEERING, WSESE 2024, p. 27-33
Paper i proceeding
2024
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Not all requirements prioritization criteria are equal at all times: A quantitative analysis

Richard Berntsson Svensson, Richard Torkar
Journal of Systems and Software. Vol. 209
Artikel i vetenskaplig tidskrift
2023

Towards Causal Analysis of Empirical Software Engineering Data: The Impact of Programming Languages on Coding Competitions

Carlo A Furia, Richard Torkar, Robert Feldt
ACM Transactions on Software Engineering and Methodology. Vol. 33 (1)
Artikel i vetenskaplig tidskrift
2022
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A Method to Assess and Argue for Practical Significance in Software Engineering

Richard Torkar, Carlo A Furia, Robert Feldt et al
IEEE Transactions on Software Engineering. Vol. 48 (6), p. 2053-2065
Artikel i vetenskaplig tidskrift
2022
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Empirical AI Transformation Research: A Systematic Mapping Study and Future Agenda

Einav Peretz-Andersson, Richard Torkar
E-Informatica Software Engineering Journal. Vol. 16 (1)
Artikel i vetenskaplig tidskrift
2021
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Early detection of sepsis using artificial intelligence: a scoping review protocol

Ivana Pepic, Robert Feldt, Lars Ljungström et al
Systematic Reviews. Vol. 10 (1)
Artikel i vetenskaplig tidskrift
Visa projekt
2021
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Measuring affective states from technical debt: A psychoempirical software engineering experiment

Jesper Olsson, Erik Risfelt, Terese Besker et al
Empirical Software Engineering. Vol. 26 (5)
Artikel i vetenskaplig tidskrift
2021

Bayesian Data Analysis in Empirical Software Engineering Research

Carlo A Furia, Robert Feldt, Richard Torkar
IEEE Transactions on Software Engineering. Vol. 47 (9), p. 1786-1810
Artikel i vetenskaplig tidskrift
2021
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An empirical study of Linespots: A novel past-fault algorithm

Maximilian Scholz, Richard Torkar
Software Testing Verification and Reliability. Vol. 31 (8)
Artikel i vetenskaplig tidskrift
2021

Bayesian Data Analysis for Software Engineering

Richard Torkar, Carlo A Furia, Robert Feldt
Proceedings - International Conference on Software Engineering, p. 328-329
Paper i proceeding
2020
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The impact of a proposal for innovation measurement in the software industry

Nauman Bin Ali, Henry Edison, Richard Torkar
International Symposium on Empirical Software Engineering and Measurement
Paper i proceeding
2020
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Pandemic programming: How COVID-19 affects software developers and how their organizations can help

Paul Ralph, Sebastian Baltes, Gianisa Adisaputri et al
Empirical Software Engineering. Vol. 25 (6), p. 4927-4961
Artikel i vetenskaplig tidskrift
2019

Prediction of undetected faults in safety-critical software

Johan Sundell, Richard Torkar, Kristina Lundqvist et al
Proceedings - 2019 IEEE 12th International Conference on Software Testing, Verification and Validation Workshops, ICSTW 2019, p. 296-304
Paper i proceeding
2019
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The unfulfilled potential of data-driven decision making in agile software development

Richard Berntsson Svensson, Robert Feldt, Richard Torkar
Lecture Notes in Business Information Processing. Vol. 355, p. 69-85
Paper i proceeding
2019

The Connection between Burnout and Personality Types in Software Developers

Emanuel Mellblom, Isar Arason, Lucas Gren et al
IEEE Software. Vol. 36 (5), p. 57-64
Artikel i vetenskaplig tidskrift
2019

Evolution of statistical analysis in empirical software engineering research: Current state and steps forward

Francisco Gomes, Richard Torkar, Robert Feldt et al
Journal of Systems and Software. Vol. 156, p. 246-267
Artikel i vetenskaplig tidskrift
2019

Estimating Return on Investment for GUI Test Automation Frameworks

Felix Dobslaw, Robert Feldt, David Michaëlsson et al
Proceedings - International Symposium on Software Reliability Engineering, ISSRE. Vol. 2019-October
Paper i proceeding
Visa projekt
2018

Ways of applying artificial intelligence in software engineering

Robert Feldt, Francisco Gomes, Richard Torkar
Proceedings - International Conference on Software Engineering. Vol. Part F137725, p. 35-41
Paper i proceeding
2014

Prediction of faults-slip-through in large software projects: An empirical evaluation

Richard Torkar, Wasif Afzal, Robert Feldt et al
Software Quality Journal. Vol. 22 (1), p. 51-86
Artikel i vetenskaplig tidskrift

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Visar 2 forskningsprojekt

2025–2025

Kausal inferens med generativa neurala nätverksmodeller

Moritz Schauer Tillämpad matematik och statistik
Gustav Gille Datateknik
Reza Rezvan Computer Systems
Richard Torkar Data- och informationsteknik
Datavetenskap

2018–2021

Co-ICT

Richard Torkar Software Engineering for Testing, Requirements, Innovation and Psychology
Robert Feldt Software Engineering for Testing, Requirements, Innovation and Psychology
Marianne och Marcus Wallenberg Stiftelse

1 publikation finns
Det kan finnas fler projekt där Richard Torkar medverkar, men du måste vara inloggad som anställd på Chalmers för att kunna se dem.

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