Cover Image

SE Journals in 2036: Looking Back at the Future We Need to Have

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Menzies, Tim, Avgeriou, Paris, Feldt, Robert, Pezzè, Mauro, Roychoudhury, Abhik, Staron, Miroslaw, Uchitel, Sebastian, Zimmermann, Thomas
Format:	Preprint
Published:	2026
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Teaching Action Research
by: Staron, Miroslaw
Published: (2024)

Aspects of complexity in automotive software systems and their relation to maintainability effort. A case study
by: Haraldsson, Bengt, et al.
Published: (2025)

Agentic Pipelines in Embedded Software Engineering: Emerging Practices and Challenges
by: Sun, Simin, et al.
Published: (2026)

Agentic AI for Software: thoughts from Software Engineering community
by: Roychoudhury, Abhik
Published: (2025)

Understanding the Changing Landscape of Automotive Software Vulnerabilities: Insights from a Seven-Year Analysis
by: Basu, Srijita, et al.
Published: (2025)

Will AI replace Software Engineers? Do not hold your breath
by: Roychoudhury, Abhik, et al.
Published: (2025)

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management
by: Sun, Simin, et al.
Published: (2025)

"Good" and "Bad" Failures in Industrial CI/CD -- Balancing Cost and Quality Assurance
by: Sun, Simin, et al.
Published: (2025)

From LLMs to Agents in Programming: The Impact of Providing an LLM with a Compiler
by: Kjellberg, Viktor, et al.
Published: (2026)

From Brittle to Robust: Improving LLM Annotations for SE Optimization
by: Senthilkumar, Lohith, et al.
Published: (2026)

Less Noise, More Signal: DRR for Better Optimizations of SE Tasks
by: Lustosa, Andre, et al.
Published: (2025)

Can Large Language Models Improve SE Active Learning via Warm-Starts?
by: Senthilkumar, Lohith, et al.
Published: (2024)

Strategies for Guiding LLMs to Use Software Design Patterns: A Case of Singleton
by: Kjellberg, Viktor, et al.
Published: (2026)

The Dangers of Non-Self-Fixed Architecture Technical Debt and Its Impact on Time-to-Fix
by: Sutoyo, Edi, et al.
Published: (2026)

Towards Automated Identification of Violation Symptoms of Architecture Erosion
by: Li, Ruiyin, et al.
Published: (2023)

Reducing Labeling Effort in Architecture Technical Debt Detection through Active Learning and Explainable AI
by: Sutoyo, Edi, et al.
Published: (2026)

Tracing the Lifecycle of Architecture Technical Debt in Software Systems: A Dependency Approach
by: Sutoyo, Edi, et al.
Published: (2025)

Fuzzing: On Benchmarking Outcome as a Function of Benchmark Properties
by: Wolff, Dylan, et al.
Published: (2022)

How Low Can You Go? The Data-Light SE Challenge
by: Ganguly, Kishan Kumar, et al.
Published: (2025)

Scaling GR(1) Synthesis via a Compositional Framework for LTL Discrete Event Control
by: Gagliardi, Hernan, et al.
Published: (2025)

Methodological Considerations for Self-adaptive Systems: An Essay
by: Hezavehi, Sara Mahdavi, et al.
Published: (2025)

State of the Art on Self-adaptive Systems: An Essay
by: Hezavehi, Sara Mahdavi, et al.
Published: (2025)

Program Environment Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

SpecRover: Code Intent Extraction via LLMs
by: Ruan, Haifeng, et al.
Published: (2024)

Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
by: Sutoyo, Edi, et al.
Published: (2024)

Retrospective: Data Mining Static Code Attributes to Learn Defect Predictors
by: Menzies, Tim
Published: (2025)

Computation Tree Logic Guided Program Repair
by: Liu, Yu, et al.
Published: (2025)

Whose fault is it anyway? SILC: Safe Integration of LLM-Generated Code
by: Lin, Peisen, et al.
Published: (2024)

AutoCodeSherpa: Symbolic Explanations in AI Coding Agents
by: Kang, Sungmin, et al.
Published: (2025)

Large Language Model assisted Hybrid Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

Teaching Empirical Research Methods in Software Engineering: An Editorial Introduction
by: Mendez, Daniel, et al.
Published: (2025)

Designing a Syllabus for a Course on Empirical Software Engineering
by: Avgeriou, Paris, et al.
Published: (2025)

Codexity: Secure AI-assisted Code Generation
by: Kim, Sung Yong, et al.
Published: (2024)

AFLNet Five Years Later: On Coverage-Guided Protocol Fuzzing
by: Meng, Ruijie, et al.
Published: (2024)

AutoCodeRover: Autonomous Program Improvement
by: Zhang, Yuntong, et al.
Published: (2024)

Agentic AI Software Engineers: Programming with Trust
by: Roychoudhury, Abhik, et al.
Published: (2025)

Software Engineering Educational Experience in Building an Intelligent Tutoring System
by: Fan, Zhiyu, et al.
Published: (2023)

Qualitative Research Methods in Software Engineering: Past, Present, and Future
by: Seaman, Carolyn, et al.
Published: (2025)

Investigating CI/CD-based Technical Debt Management in Open-source Projects
by: Biazotto, João Paulo, et al.
Published: (2026)

Automating Technical Debt Management: Insights from Practitioner Discussions in Stack Exchange
by: Biazotto, João Paulo, et al.
Published: (2025)