Lukasz Radlinski

Orcid: 0000-0003-1007-6597

According to our database1, Lukasz Radlinski authored at least 16 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
ChatGPT: Jack of all trades, master of none.
Inf. Fusion, November, 2023

CLARIN-Emo: Training Emotion Recognition Models Using Human Annotation and ChatGPT.
Proceedings of the Computational Science - ICCS 2023, 2023

2021
Analysis of factors of software development effort and productivity.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

2020
Stability of user satisfaction prediction in software projects.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

Predicting User Satisfaction in Software Projects using Machine Learning Techniques.
Proceedings of the 15th International Conference on Evaluation of Novel Approaches to Software Engineering, 2020

2016
From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support.
Artif. Intell. Medicine, 2016

2013
Predicting the Flow of Defect Correction Effort using a Bayesian Network Model.
Empir. Softw. Eng., 2013

2012
Empirical Analysis of the Impact of Requirements Engineering on Software Quality.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2012

2011
A conceptual Bayesian net model for integrated software quality prediction.
Ann. UMCS Informatica, 2011

A Framework for Integrated Software Quality Prediction Using Bayesian Nets.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

2010
Software Development Effort and Quality Prediction Using Bayesian Nets and small Local Qualitative Data.
Proceedings of the 22nd International Conference on Software Engineering & Knowledge Engineering (SEKE'2010), Redwood City, San Francisco Bay, CA, USA, July 1, 2010

Defect cost flow model: a Bayesian network for predicting defect correction effort.
Proceedings of the 6th International Conference on Predictive Models in Software Engineering, 2010

2008
Improved Software Project Risk Assessment Using Bayesian Nets.
PhD thesis, 2008

On the effectiveness of early life cycle defect prediction with Bayesian Nets.
Empir. Softw. Eng., 2008

2007
Project Data Incorporating Qualitative Factors for Improved Software Defect Prediction.
Proceedings of the Third International Workshop on Predictor Models in Software Engineering, 2007

2006
Improved Bayesian Networks for Software Project Risk Assessment Using Dynamic Discretisation.
Proceedings of the Software Engineering Techniques: Design for Quality, 2006


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