To Do or Not to Do: Semantics and Patterns for Do Activities in UML PSSM State Machines
Fuente:
arXiv
Saved in:
| Main Authors: | Elekes, Márton, Molnár, Vince, Micskei, Zoltán |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Do Code LLMs Do Static Analysis?
by: Su, Chia-Yi, et al.
Published: (2025)
by: Su, Chia-Yi, et al.
Published: (2025)
Do Code LLMs Understand Design Patterns?
by: Pan, Zhenyu, et al.
Published: (2025)
by: Pan, Zhenyu, et al.
Published: (2025)
How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
by: Bogner, Justus, et al.
Published: (2024)
by: Bogner, Justus, et al.
Published: (2024)
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026)
by: Huang, Feiyang, et al.
Published: (2026)
Verifier Warnings Do Not Improve Comprehensibility Prediction
by: De Silva, Nadeeshan, et al.
Published: (2026)
by: De Silva, Nadeeshan, et al.
Published: (2026)
Theta as a Horn Solver
by: Bajczi, Levente, et al.
Published: (2025)
by: Bajczi, Levente, et al.
Published: (2025)
How Do Community Smells Influence Self-Admitted Technical Debt in Machine Learning Projects?
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
by: Cynthia, Shamse Tasnim, et al.
Published: (2025)
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)
by: Fang, Chongzhou, et al.
Published: (2023)
Formalizing UML State Machines for Automated Verification -- A Survey
by: André, Étienne, et al.
Published: (2024)
by: André, Étienne, et al.
Published: (2024)
Do Good, Stay Longer? Temporal Patterns and Predictors of Newcomer-to-Core Transitions in Conventional OSS and OSS4SG
by: Ouf, Mohamed, et al.
Published: (2026)
by: Ouf, Mohamed, et al.
Published: (2026)
Why Do You Contribute to Stack Overflow? Understanding Cross-Cultural Motivations and Usage Patterns before the Age of LLMs
by: Licorish, Sherlock A., et al.
Published: (2026)
by: Licorish, Sherlock A., et al.
Published: (2026)
Do Users' Explainability Needs in Software Change with Mood?
by: Obaidi, Martin, et al.
Published: (2025)
by: Obaidi, Martin, et al.
Published: (2025)
Do AI Agents Really Improve Code Readability?
by: Horikawa, Kyogo, et al.
Published: (2026)
by: Horikawa, Kyogo, et al.
Published: (2026)
Artificial or Just Artful? Do LLMs Bend the Rules in Programming?
by: Sghaier, Oussama Ben, et al.
Published: (2025)
by: Sghaier, Oussama Ben, et al.
Published: (2025)
Do Automated Fixes Truly Mitigate Smart Contract Exploits?
by: Bobadilla, Sofia, et al.
Published: (2025)
by: Bobadilla, Sofia, et al.
Published: (2025)
What Do Contribution Guidelines Say About Software Testing?
by: Falcucci, Bruna, et al.
Published: (2026)
by: Falcucci, Bruna, et al.
Published: (2026)
Open Source Software (OSS) Transparency for DoD Acquisition
by: Mead, Nancy, et al.
Published: (2024)
by: Mead, Nancy, et al.
Published: (2024)
From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs
by: Conrardy, Aaron, et al.
Published: (2024)
by: Conrardy, Aaron, et al.
Published: (2024)
Do AI Coding Agents Log Like Humans? An Empirical Study
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2026)
by: Ouatiti, Youssef Esseddiq, et al.
Published: (2026)
Unicorns Do Not Exist: Employing and Appreciating Community Managers in Open Source
by: Sonabend, Raphael, et al.
Published: (2024)
by: Sonabend, Raphael, et al.
Published: (2024)
Can Old Tests Do New Tricks for Resolving SWE Issues?
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
How Do Developers Use Code Suggestions in Pull Request Reviews?
by: Bouraffa, Abir, et al.
Published: (2025)
by: Bouraffa, Abir, et al.
Published: (2025)
How Do Developers Use Type Inference: An Exploratory Study in Kotlin
by: Flint, Samuel W., et al.
Published: (2024)
by: Flint, Samuel W., et al.
Published: (2024)
Systematic teaching of UML and behavioral diagrams
by: Metzner, Anja
Published: (2024)
by: Metzner, Anja
Published: (2024)
What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity
by: Kudrjavets, Gunnar, et al.
Published: (2023)
by: Kudrjavets, Gunnar, et al.
Published: (2023)
Do Internal Software Metrics Have Relationship with Fault-proneness and Change-proneness?
by: Rahman, Md. Masudur, et al.
Published: (2023)
by: Rahman, Md. Masudur, et al.
Published: (2023)
How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study
by: Iuliano, Gerardo, et al.
Published: (2025)
by: Iuliano, Gerardo, et al.
Published: (2025)
Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?
by: Wang, Guoqing, et al.
Published: (2024)
by: Wang, Guoqing, et al.
Published: (2024)
Do LLMs generate test oracles that capture the actual or the expected program behaviour?
by: Konstantinou, Michael, et al.
Published: (2024)
by: Konstantinou, Michael, et al.
Published: (2024)
Do Developers Read Type Information? An Eye-Tracking Study on TypeScript
by: Flint, Samuel W., et al.
Published: (2026)
by: Flint, Samuel W., et al.
Published: (2026)
Do Test and Environmental Complexity Increase Flakiness? An Empirical Study of SAP HANA
by: Berndt, Alexander, et al.
Published: (2024)
by: Berndt, Alexander, et al.
Published: (2024)
What Types of Code Review Comments Do Developers Most Frequently Resolve?
by: Goldman, Saul, et al.
Published: (2025)
by: Goldman, Saul, et al.
Published: (2025)
Do Research Software Engineers and Software Engineering Researchers Speak the Same Language?
by: Kehrer, Timo, et al.
Published: (2025)
by: Kehrer, Timo, et al.
Published: (2025)
How Do Software Developers Use GitHub Actions to Automate Their Workflows?
by: Kinsman, Timothy, et al.
Published: (2021)
by: Kinsman, Timothy, et al.
Published: (2021)
What Do Developers Discuss in Their Workplace? An Analysis of Workplace StackExchange Discussions
by: Grech, Natasha, et al.
Published: (2024)
by: Grech, Natasha, et al.
Published: (2024)
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
by: Della Porta, Antonio, et al.
Published: (2025)
by: Della Porta, Antonio, et al.
Published: (2025)
Assessing UML Diagrams by GPT: Implications for Education
by: Wang, Chong, et al.
Published: (2024)
by: Wang, Chong, et al.
Published: (2024)
How Do Java Developers Reuse StackOverflow Answers in Their GitHub Projects?
by: Chen, Juntong, et al.
Published: (2023)
by: Chen, Juntong, et al.
Published: (2023)
What Are Adversaries Doing? Automating Tactics, Techniques, and Procedures Extraction: A Systematic Review
by: Tamanna, Mahzabin, et al.
Published: (2026)
by: Tamanna, Mahzabin, et al.
Published: (2026)
How Do Users Revise Architectural Related Questions on Stack Overflow: An Empirical Study
by: de Dieu, Musengamana Jean, et al.
Published: (2024)
by: de Dieu, Musengamana Jean, et al.
Published: (2024)
Similar Items
-
Do Code LLMs Do Static Analysis?
by: Su, Chia-Yi, et al.
Published: (2025) -
Do Code LLMs Understand Design Patterns?
by: Pan, Zhenyu, et al.
Published: (2025) -
How Do Microservice API Patterns Impact Understandability? A Controlled Experiment
by: Bogner, Justus, et al.
Published: (2024) -
Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
by: Huang, Feiyang, et al.
Published: (2026) -
Verifier Warnings Do Not Improve Comprehensibility Prediction
by: De Silva, Nadeeshan, et al.
Published: (2026)