7th International Conference on Data Mining and Software Engineering (DMSE 2026)

Name: 7th International Conference on Data Mining and Software Engineering (DMSE 2026)
Start: 2026-07-16T10:00:00+01:00
End: 2026-07-17T18:00:00+01:00
Location: London, United Kingdom

Schedule

Thu, 16 Jul, 2026 at 10:00 am to Fri, 17 Jul, 2026 at 06:00 pm

UTC+01:00

Location

London, United Kingdom | London, EN

7th International Conference on Data Mining and Software Engineering (DMSE 2026)

July 16 ~ 17, 2026, London, United Kingdom

https://cmla2026.org/dmse/index

SCOPE

The 7th International Conference on Data Mining and Software Engineering (DMSE 2026) aims to provide a premier international forum for researchers, practitioners, and industry experts to share their knowledge, insights, and results in the theory, methodology, and applications of Data Mining and Software Engineering. As these fields continue to evolve rapidly, driven by advances in artificial intelligence, large-scale data analytics, and modern software development practices, DMSE 2026 seeks to foster deeper understanding, spark innovation, and promote meaningful collaboration across disciplines.

The goal of the conference is to bring together leading minds from academia and industry to explore emerging trends, address contemporary challenges, and establish new partnerships in Data Mining and Software Engineering. By bridging foundational research with real world applications, DMSE 2026 provides a platform for exchanging ideas that shape the future of intelligent systems, data driven engineering, and next generation software technologies.

Authors are invited to contribute high quality research papers, case studies, survey articles, and industrial experiences that demonstrate significant advances in the following areas, but are not limited to::

Topics of interest

Foundations of Data Mining and Software Engineering

Algorithms, Models, and Theory for Data Mining
Foundations of Software Engineering
Formal Methods, Verification, and Model Checking
Programming Languages, Type Systems, and Semantics
Neuro Symbolic AI and Logic Guided Learning

Machine Learning, AI and Knowledge Discovery

Large Scale Machine Learning and Deep Learning
Generative AI, LLMs, and Autonomous AI Agents
Retrieval Augmented Generation (RAG) Systems and Evaluation
Multimodal, Self-Supervised, and Transfer Learning
Explainable, Trustworthy, and Responsible AI
Knowledge Graphs, Knowledge Based Systems, and Reasoning
Privacy Preserving ML (Federated Learning, Differential Privacy)
Causal Machine Learning and Causal Discovery

AI for Software Engineering (AI4SE)

AI Driven Code Generation, Completion, and Synthesis
Automated Software Testing, Debugging, and Repair
AI Assisted Refactoring, Optimization, and Maintenance
Prompt Engineering and Prompt Based SE Workflows
Benchmarking and Evaluation of AI Models for SE
Autonomous SE Agents for Planning, Coding, Testing, and Deployment
Human AI Collaboration in Software Development

Software Engineering for AI Systems (SE4AI)

Engineering LLM Based Applications and AI Native Systems
Guardrails, Hallucination Mitigation, and Safety Layers
Data Centric AI and Data Quality Engineering
MLOps, DataOps, and Continuous Delivery for ML Systems
ML System Observability, Drift Detection, and AI Incident Response
AI Governance, Risk, and Compliance Engineering

Data Driven Software Engineering

Mining Software Repositories (MSR)
Empirical Software Engineering and Evidence Based Methods
Developer Productivity, Behavior, and Cognitive Analytics
Socio Technical Systems and Collaboration Analytics
Software Analytics and Data Driven Decision Making
Technical Debt Detection, Prediction, and Management
Continuous Experimentation, A/B Testing, and Causal Inference in SE

Software Architecture, Systems and Platforms

Cloud Native Software Engineering and Distributed Systems
Microservices, Serverless Computing, and Containerization
Edge, IoT, and Embedded Software Systems
Cyber Physical and Real Time Systems
Observability, Telemetry, and Runtime Analytics
Performance Engineering and Optimization
Quantum Software Engineering and Quantum Programming Tools

Software Quality, Testing and Reliability

Automated Test Generation, Fuzzing, and Mutation Testing
Software Reliability, Resilience, and Dependability
Software Maintenance, Evolution, and Reengineering
Quality Assurance, Metrics, and Continuous Improvement
Performance, Scalability, and Stress Testing

Security, Privacy and Trust

Software Security and Vulnerability Detection
Secure Software Supply Chains and DevSecOps
Threat Modeling, Attack Simulation, and Security Testing
Adversarial ML, Robustness, and AI Safety
Trustworthy Software Systems and Compliance

Web, Search, Mobile and Emerging Platforms

Web Scale Systems and Web Engineering
Search Engines, Information Retrieval, and Recommendation Systems
Mobile, Ubiquitous, and Context Aware Computing
AR/VR, Immersive Systems, and Interactive Software
Blockchain, Smart Contracts, and Decentralized Applications

Applications, Domains and Interdisciplinary Areas

Data Mining Applications in Healthcare, Finance, Education, and Smart Cities
Learning Analytics, Educational Data Mining, and AI in Education
Sustainable and Green Software Engineering
Multimedia Systems, Vision Driven Applications, and Multimodal Analytics
Social Computing, Digital Ecosystems, and Human Centered AI

Paper Submission

Authors are invited to submit papers through the conference Submission System by May 30, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from DMSE 2026, after further revisions, will be published in the special issue of the following journals