Julian Frattini

Orcid: 0000-0003-3995-6125

According to our database1, Julian Frattini authored at least 40 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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5
10
15
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5
4
1
1
6
3
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6
2
6
3
1

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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Applying bayesian data analysis for causal inference about requirements quality: a controlled experiment.
Empir. Softw. Eng., February, 2025

2024
Augmented testing to support manual GUI-based regression testing: An empirical study.
Empir. Softw. Eng., November, 2024

Requirements quality research artifacts: Recovery, analysis, and management guideline.
J. Syst. Softw., 2024

Replications, Revisions, and Reanalyses: Managing Variance Theories in Software Engineering.
CoRR, 2024

NLP4RE Tools: Classification, Overview, and Management.
CoRR, 2024

Applying Bayesian Data Analysis for Causal Inference about Requirements Quality: A Replicated Experiment.
CoRR, 2024

A Second Look at the Impact of Passive Voice Requirements on Domain Modeling: Bayesian Reanalysis of an Experiment.
Proceedings of the 1st IEEE/ACM International Workshop on Methodological Issues with Empirical Studies in Software Engineering, 2024

Identifying Relevant Factors of Requirements Quality: An Industrial Case Study.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2024

Welcome to the Eighth International Workshop on Crowd-Based Requirements Engineering (CrowdRE'24).
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Measuring the Fitness-for-Purpose of Requirements: An initial Model of Activities and Attributes.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

AIRE 2024: 11th International Workshop on Artificial Intelligence and Requirements Engineering.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

Crossover Designs in Software Engineering Experiments: Review of the State of Analysis.
Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2024

2023
Requirements quality research: a harmonized theory, evaluation, and roadmap.
Requir. Eng., December, 2023

An initial theory to understand and manage requirements engineering debt in practice.
Inf. Softw. Technol., July, 2023

Requirements Quality Theory: State-of-the-Art.
Dataset, July, 2023

Causality in requirements artifacts: prevalence, detection, and impact.
Requir. Eng., March, 2023

Recovery of unavailable Requirements Quality Artifacts.
Dataset, March, 2023

Recovery of unavailable Requirements Quality Artifacts.
Dataset, March, 2023

Recovery of unavailable Requirements Quality Artifacts.
Dataset, March, 2023

Recovery of unavailable Requirements Quality Artifacts.
Dataset, March, 2023

Understanding Requirements Engineering Debt: Study Material.
Dataset, March, 2023

Automatic creation of acceptance tests by extracting conditionals from requirements: NLP approach and case study.
J. Syst. Softw., 2023

Let's Stop Building at the Feet of Giants: Recovering unavailable Requirements Quality Artifacts.
Proceedings of the Joint Proceedings of REFSQ-2023 Workshops, 2023

CiRA: An Open-Source Python Package for Automated Generation of Test Case Descriptions from Natural Language Requirements.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Automatic ESG Assessment of Companies by Mining and Evaluating Media Coverage Data: NLP Approach and Tool.
Proceedings of the IEEE International Conference on Big Data, 2023

2022



Assets in Software Engineering: What are they after all?
J. Syst. Softw., 2022

A Live Extensible Ontology of Quality Factors for Textual Requirements.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

2021
Automatic Creation of Acceptance Tests by Extracting Conditionals from Requirements: NLP Approach and Case Study.
Dataset, October, 2021

Asset Management in Software Engineering - What is it after all?
CoRR, 2021

CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.
Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Automatic Detection of Causality in Requirement Artifacts: The CiRA Approach.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2021

CATE: CAusality Tree Extractor from Natural Language Requirements.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Transfer Learning for Mining Feature Requests and Bug Reports from Tweets and App Store Reviews.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Fine-Grained Causality Extraction From Natural Language Requirements Using Recursive Neural Tensor Networks.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

How Do Practitioners Interpret Conditionals in Requirements?
Proceedings of the Product-Focused Software Process Improvement, 2021

2020
Automatic Extraction of Cause-Effect-Relations from Requirements Artifacts.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

CEREC: Causality Extraction from Requirements Artifacts.
Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020


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