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The Future of AI-Driven Software Engineering

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/(issn)2334-5837openalex-snapshot
INCOSE International Symposium
inferredcites →https://doi.org/10.1007/978-3-030-32236-6_51openalex-snapshot
Explainable AI: A Brief Survey on History, Research Areas, Approaches and Challenges
inferredcites →https://doi.org/10.1007/978-3-031-34144-1openalex-snapshot
Programming Languages: Principles and Paradigms
inferredcites →https://doi.org/10.1007/978-3-031-55642-5openalex-snapshot
Generative AI for Effective Software Development
inferredcites →https://doi.org/10.1007/978-3-031-55642-5_6openalex-snapshot
Advancing Requirements Engineering Through Generative AI: Assessing the Role of LLMs
inferredcites →https://doi.org/10.1007/bfb0017737openalex-snapshot
Laws of software evolution revisited
inferredcites →https://doi.org/10.1007/s10664-024-10563-4openalex-snapshot
An extended study of syntactic breaking changes in the wild
inferredcites →https://doi.org/10.1016/0010-4809(70)90010-8openalex-snapshot
High-level programming languages
inferredcites →https://doi.org/10.1016/j.hcc.2024.100211openalex-snapshot
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
inferredcites →https://doi.org/10.1016/j.infsof.2021.106798openalex-snapshot
Prioritizing user concerns in app reviews – A study of requests for new features, enhancements and bug fixes
inferredcites →https://doi.org/10.1016/j.infsof.2024.107468openalex-snapshot
Effective test generation using pre-trained Large Language Models and mutation testing
inferredcites →https://doi.org/10.1016/j.infsof.2024.107523openalex-snapshot
Fine-tuning and prompt engineering for large language models-based code review automation
inferredcites →https://doi.org/10.1016/j.jss.2016.09.015openalex-snapshot
A survey of the use of crowdsourcing in software engineering
inferredcites →https://doi.org/10.1016/j.jss.2020.110817openalex-snapshot
A critical review on the evaluation of automated program repair systems
inferredcites →https://doi.org/10.1016/j.jss.2021.111041openalex-snapshot
MeMo: Automatically identifying metamorphic relations in Javadoc comments for test automation
inferredcites →https://doi.org/10.1016/j.jss.2025.112541openalex-snapshot
LLMs and Stack Overflow discussions: Reliability, impact, and challenges
inferredcites →https://doi.org/10.1093/iwc/iwv046openalex-snapshot
GenderMag: A Method for Evaluating Software's Gender Inclusiveness
inferredcites →https://doi.org/10.1109/ase.2015.86openalex-snapshot
Do Automatically Generated Unit Tests Find Real Faults? An Empirical Study of Effectiveness and Challenges (T)
inferredcites →https://doi.org/10.1109/icse-fose59343.2023.00008openalex-snapshot
Large Language Models for Software Engineering: Survey and Open Problems
inferredcites →https://doi.org/10.1109/icse-seip52600.2021.00023openalex-snapshot
Testing Web Enabled Simulation at Scale Using Metamorphic Testing
inferredcites →https://doi.org/10.1109/icse.2007.37openalex-snapshot
Feedback-Directed Random Test Generation
inferredcites →https://doi.org/10.1109/icse43902.2021.00112openalex-snapshot
EvoSpex: An Evolutionary Algorithm for Learning Postconditions
inferredcites →https://doi.org/10.1109/icse48619.2023.00085openalex-snapshot
CodaMosa: Escaping Coverage Plateaus in Test Generation with Pre-trained Large Language Models
inferredcites →https://doi.org/10.1109/icse48619.2023.00129openalex-snapshot
Automated Program Repair in the Era of Large Pre-trained Language Models
inferredcites →https://doi.org/10.1109/icse55347.2025.00098openalex-snapshot
TOGLL: Correct and Strong Test Oracle Generation with LLMS
inferredcites →https://doi.org/10.1109/icsme.2019.00035openalex-snapshot
Automatic Discovery and Cleansing of Numerical Metamorphic Relations
inferredcites →https://doi.org/10.1109/icsme55016.2022.00054openalex-snapshot
Together or Apart? Investigating a mediator bot to aggregate bot’s comments on pull requests
inferredcites →https://doi.org/10.1109/icstw64639.2025.10962454openalex-snapshot
A System for Automated Unit Test Generation using Large Language Models and Assessment of Generated Test Suites
inferredcites →https://doi.org/10.1109/mc.2003.1204373openalex-snapshot
Agile software development: it's about feedback and change
inferredcites →https://doi.org/10.1109/ms.2023.3265877openalex-snapshot
Generative AI for Software Practitioners
inferredcites →https://doi.org/10.1109/re.2014.6912263openalex-snapshot
Openness and requirements: Opportunities and tradeoffs in software ecosystems
inferredcites →https://doi.org/10.1109/re.2019.00025openalex-snapshot
Requirements Classification with Interpretable Machine Learning and Dependency Parsing
inferredcites →https://doi.org/10.1109/sbft59156.2023.00025openalex-snapshot
SBFT Tool Competition 2023 - Java Test Case Generation Track
inferredcites →https://doi.org/10.1109/sp46214.2022.9833571openalex-snapshot
Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
inferredcites →https://doi.org/10.1109/sta50679.2020.9329301openalex-snapshot
Generating UML Class Diagram using NLP Techniques and Heuristic Rules
inferredcites →https://doi.org/10.1109/tse.2016.2532875openalex-snapshot
A Survey on Metamorphic Testing
inferredcites →https://doi.org/10.1109/tse.2017.2782280openalex-snapshot
An Empirical Study on API Usages
inferredcites →https://doi.org/10.1109/tse.2019.2934409openalex-snapshot
An Empirical Validation of Oracle Improvement
inferredcites →https://doi.org/10.1109/tse.2022.3219458openalex-snapshot
A Software Requirements Ecosystem: Linking Forum, Issue Tracker, and FAQs for Requirements Management
inferredcites →https://doi.org/10.1109/tse.2023.3334955openalex-snapshot
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
inferredcites →https://doi.org/10.1109/tse.2024.3368208openalex-snapshot
Software Testing With Large Language Models: Survey, Landscape, and Vision
inferredcites →https://doi.org/10.1109/tse.2024.3407840openalex-snapshot
GenMorph: Automatically Generating Metamorphic Relations via Genetic Programming
inferredcites →https://doi.org/10.1109/tse.2024.3428324openalex-snapshot
Towards Efficient Fine-Tuning of Language Models With Organizational Data for Automated Software Review
inferredcites →https://doi.org/10.1145/1015864.1015889openalex-snapshot
End-user software engineering
inferredcites →https://doi.org/10.1145/2025113.2025179openalex-snapshot
EvoSuite
inferredcites →https://doi.org/10.1145/2063239.2063243openalex-snapshot
How Well Do Search Engines Support Code Retrieval on the Web?
inferredcites →https://doi.org/10.1145/2145204.2145407openalex-snapshot
Software reuse through methodical component reuse and amethodical snippet remixing
inferredcites →https://doi.org/10.1145/2581377openalex-snapshot
Solving the Search for Source Code
inferredcites →https://doi.org/10.1145/2593882.2593887openalex-snapshot
The (R) Evolution of social media in software engineering
inferredcites →https://doi.org/10.1145/2642937.2642994openalex-snapshot
Search-based inference of polynomial metamorphic relations
inferredcites →https://doi.org/10.1145/2786805.2786855openalex-snapshot
How developers search for code: a case study
inferredcites →https://doi.org/10.1145/2931037.2931058openalex-snapshot
CSNIPPEX: automated synthesis of compilable code snippets from Q&A sites
inferredcites →https://doi.org/10.1145/2931037.2931062openalex-snapshot
Test oracle assessment and improvement
inferredcites →https://doi.org/10.1145/3143561openalex-snapshot
Metamorphic Testing
inferredcites →https://doi.org/10.1145/3318162openalex-snapshot
Automated program repair
inferredcites →https://doi.org/10.1145/3324884openalex-snapshot
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3357155.3358477openalex-snapshot
Do Android app users care about accessibility?
inferredcites →https://doi.org/10.1145/3468264openalex-snapshot
Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3468264.3473136openalex-snapshot
New visions on metamorphic testing after a quarter of a century of inception
inferredcites →https://doi.org/10.1145/3468264.3473920openalex-snapshot
Generating metamorphic relations for cyber-physical systems with genetic programming: an industrial case study
inferredcites →https://doi.org/10.1145/3470133openalex-snapshot
A Systematic Review of API Evolution Literature
inferredcites →https://doi.org/10.1145/3510454.3516829openalex-snapshot
Pynguin
inferredcites →https://doi.org/10.1145/3524842.3528470openalex-snapshot
An empirical evaluation of GitHub copilot's code suggestions
inferredcites →https://doi.org/10.1145/3540250openalex-snapshot
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
inferredcites →https://doi.org/10.1145/3540250.3549101openalex-snapshot
Less training, more repairing please: revisiting automated program repair via zero-shot learning
inferredcites →https://doi.org/10.1145/3561048openalex-snapshot
Explainable AI (XAI): Core Ideas, Techniques, and Solutions
inferredcites →https://doi.org/10.1145/3597503.3608128openalex-snapshot
A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges
inferredcites →https://doi.org/10.1145/3597503.3608134openalex-snapshot
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning
inferredcites →https://doi.org/10.1145/3597503.3639219openalex-snapshot
Evaluating Large Language Models in Class-Level Code Generation
inferredcites →https://doi.org/10.1145/3597926.3598147openalex-snapshot
Understanding Breaking Changes in the Wild
inferredcites →https://doi.org/10.1145/3611643.3613892openalex-snapshot
InferFix: End-to-End Program Repair with LLMs
inferredcites →https://doi.org/10.1145/3633453openalex-snapshot
Measuring GitHub Copilot's Impact on Productivity
inferredcites →https://doi.org/10.1145/3641399.3641403openalex-snapshot
Accelerating Software Development Using Generative AI: ChatGPT Case Study
inferredcites →https://doi.org/10.1145/3643795.3648396openalex-snapshot
Unit Test Generation using Generative AI : A Comparative Performance Analysis of Autogeneration Tools
inferredcites →https://doi.org/10.1145/3649506openalex-snapshot
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
inferredcites →https://doi.org/10.1145/3650212.3680343openalex-snapshot
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention
inferredcites →https://doi.org/10.1145/3656340openalex-snapshot
MR-Scout: Automated Synthesis of Metamorphic Relations from Existing Test Cases
inferredcites →https://doi.org/10.1145/3661167.3661216openalex-snapshot
Using Large Language Models to Generate JUnit Tests: An Empirical Study
inferredcites →https://doi.org/10.1145/3663529.3663839openalex-snapshot
Automated Unit Test Improvement using Large Language Models at Meta
inferredcites →https://doi.org/10.1145/3691620openalex-snapshot
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering
inferredcites →https://doi.org/10.1145/3691620.3695330openalex-snapshot
LLMs and Prompting for Unit Test Generation: A Large-Scale Evaluation
inferredcites →https://doi.org/10.1145/3691620.3695529openalex-snapshot
On the Evaluation of Large Language Models in Unit Test Generation
inferredcites →https://doi.org/10.1145/3691620.3696020openalex-snapshot
MR-Adopt: Automatic Deduction of Input Transformation Function for Metamorphic Testing
inferredcites →https://doi.org/10.1145/3699598openalex-snapshot
Exploring Automated Assertion Generation via Large Language Models
inferredcites →https://doi.org/10.1145/3712003openalex-snapshot
LLM-Based Multi-Agent Systems for Software Engineering: Literature Review, Vision, and the Road Ahead
inferredcites →https://doi.org/10.1561/2500000010openalex-snapshot
Program Synthesis
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.225openalex-snapshot
Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
inferredcites →https://doi.org/10.18653/v1/2023.nllp-1.23openalex-snapshot
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-demo.46openalex-snapshot
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.138openalex-snapshot
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
inferredcites →https://doi.org/10.3390/fi16060180openalex-snapshot
Using ChatGPT in Software Requirements Engineering: A Comprehensive Review
inferredcites →https://doi.org/10.48550/arxiv.2308.10620openalex-snapshot
Large Language Models for Software Engineering: A Systematic Literature Review
inferredcites →https://doi.org/10.48550/arxiv.2408.07106openalex-snapshot
"You still have to study" -- On the Security of LLM generated code
inferredcites →https://doi.org/10.52202/075280-0943openalex-snapshot
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1109/aiware69974.2025.00033openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ase63991.2025.00385openalex-snapshot
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AI-Driven Code Quality Assessment Model and Implementation for Complex Power Grid Software Systems
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