37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): First Call for Papers (Research Track)

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*** First Call for Papers (Research Track) ***

37th IEEE International Symposium on Software Reliability Engineering

(ISSRE 2026)

October 20-23, 2026, 5* St. Raphael Resort and Marina

Limassol, Cyprus

https://cyprusconferences.org/issre2026/

The International Symposium on Software Reliability Engineering (ISSRE) is the leading

conference on software reliability research and practice. ISSRE focuses on techniques and

tools for assessing, predicting, and improving the reliability, safety, security, and resilience

of software systems. As modern software increasingly integrates AI/ML components,

operates autonomously, and spans cloud-to-edge environments, ensuring reliable system

behavior is more critical than ever.

Topics of Interest

ISSRE 2026 invites high-quality contributions that advance the theory and practice of

software reliability across contemporary software-intensive systems, including systems

that incorporate AI/ML components. Topics of interest include, but are not limited to:

Foundations of Reliability and Dependability

• Principles, models, metrics, empirical methods, and theories of software reliability,

resilience, robustness, and safety

• Systematic approaches to fault prevention, fault removal, fault tolerance, and fault

forecasting in modern software systems

• Testing and debugging, formal methods, model checking, static/dynamic analysis,

verification, and runtime assurance

Reliability in AI-Driven and Autonomic Systems

• Reliability engineering for AI-enabled, autonomous, self-adaptive, and cyber-physical

systems

• Assurance, testing, verification, and certification of AI/ML components, including

foundation and generative models

• Reliability of AI-generated code: validation, verification, explainability, defect analysis,

and trustworthy automation of development tasks

• Impact of AI on software lifecycle processes (design, testing, evolution, operations, and

quality management)

AI Techniques for Reliability Engineering

• Machine learning for defect prediction, anomaly detection, debugging assistance, fault

localization, and test automation

• Learning-based approaches to self-healing, resilience management, predictive

maintenance, and reliability optimization

• Reliability governance in AI-driven DevOps pipelines, including transparency,

interpretability, and auditability

Software Reliability in Emerging System Domains

• Reliability assurance for cloud, edge, IoT, 5G/6G, cyber-physical, high-performance,

and network softwarization environments

• Dependability of open-source ecosystems, data-driven pipelines, model hubs, and

AI-assisted contributions

• Benchmarking, stress testing, workload modeling, and measurement frameworks for

large-scale and AI-based systems

Trustworthiness, Security, and Responsible Software Engineering

• Intersections of reliability with security, privacy, fairness, transparency, and regulatory

compliance

• Societal, ethical, and human impacts of pervasive AI-enabled software systems

• Responsible governance of AI-based systems, including lifecycle assurance, auditability,

and risk analysis

Human-Centered, Empirical, and Reproducible Reliability Research

• Field studies, experience reports, user studies, and human factors in reliability

engineering

• Public datasets, benchmark suites, reproducibility packages, and replication/negative-

result studies

• Tooling, automation, continuous reliability monitoring, observability, and operational

feedback loops

Research Track Paper Categories

The research track at ISSRE 2026 invites high-quality submissions of technical research

papers that describe original, unpublished results exploring new scientific ideas,

contribute new evidence to established research directions, or reflect on practical

experience. Specifically, ISSRE solicits submissions in three categories:

• Research (RES) papers

• Practical experience reports (PER)

• Tools and artefacts (TAR) papers

Papers will be assessed with criteria appropriate to each category. All the papers of the

three categories are regular and full papers, and will be published in the same ISSRE

proceedings.

RES Papers

RES papers (12 pages, including references) should describe a novel contribution to the

reliability of software systems. Novelty should be argued via concrete evidence and

appropriate positioning within the state of the art. RES papers are also expected to

explain the validation process and its limitations clearly.

PER Papers

PER papers (12 pages, including references) should provide an in-depth exposition of

practical experiences ideally performed by a collaboration of researchers and industry

practitioners. The key contribution of these papers should be lessons learned from

applying established research tools and methods to ISSRE topics, or new knowledge

acquired through empirical studies conducted using various research methodologies.

Negative results are welcome, e.g., discussing where or why current research cannot be

applied in an industrially relevant context.

TAR Papers

TAR papers (6 – 10 pages, including references) should describe a new tool or artefact.

Tool-focused TAR papers must present either a new tool or a novel and substantial

extension of an existing tool. They should include a description of (i) the theoretical

foundations, (ii) the design and implementation aspects, and (iii) experiments with

realistic case studies. Making the tool publicly available is strongly encouraged.

Artefact-focused TAR papers should cover (i) a working copy of the software and (ii)

experimental data sets. Dataset papers should introduce a new dataset that supports

experimentation, benchmarking, evaluation, or training in AI-driven software engineering.

Submissions should describe: (i) dataset motivation and scope, (ii) data collection and

processing methodology, (iii) dataset structure and statistics, and (iv) potential use cases.

Benchmark papers should present a new benchmark suite for evaluating tools, LLMs, or

algorithms. Submissions should include: (i) benchmark design principles, (ii) task

definitions and evaluation metrics, (iii) baseline results, and (iv) reproducibility package.

The ISSRE conference encourages authors of all three categories of research track papers

to follow the principles of transparency, reproducibility, and replicability. Authors are

encouraged to disclose data to increase reproducibility and replicability. Should the paper

be accepted, the authors will have the opportunity (and are encouraged to) submit

artifacts to the Artifact Evaluation (AE) track, to enhance the reproducibility and quality of

the research. By submitting your artifacts, you not only contribute to the progress of our

field but also stand a chance to earn badges that will be displayed on your papers in the

conference proceedings, showcasing the credibility and rigor of your work.

At least one author of each accepted paper must register as an author and present the

paper in person at the conference.

Best Research Paper Award

ISSRE is pleased to announce the IEEE Best Research Paper Award, awarded every year to

the best paper in the Research Track.

Special Journal Issue

Authors of accepted papers will be invited to submit an extended version of their work to

a special issue of the Empirical Software Engineering (EMSE) journal (under negotiation as

in previous editions of the conference). The Call for Papers will be available soon.

Review Process & Quality Assurance in ISSRE 2026 (New)