Julian Frattini
Orcid: 0000-0003-3995-6125
According to our database1,
Julian Frattini
authored at least 40 papers
between 2020 and 2025.
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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
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
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
Requir. Eng., December, 2023
An initial theory to understand and manage requirements engineering debt in practice.
Inf. Softw. Technol., July, 2023
Requir. Eng., 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
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
CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.
Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2021
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
Proceedings of the Product-Focused Software Process Improvement, 2021
2020
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020
Proceedings of the 7th IEEE International Workshop on Artificial Intelligence for Requirements Engineering, 2020