The 10th International Workshop on Software-intensive Business: AI-Native Software Organizations, Platforms, and Value Creation (IWSiB 2027)IWSiB 2027

About

Software-intensive organizations are being reshaped by generative AI, agentic engineering, platform ecosystems, sustainability pressures, regulation, and rapidly changing software-business models. These developments raise questions that software engineering or business research cannot address alone: How should organizations evaluate the value and risks of AI-assisted development? How do product decisions change when code generation lowers the cost of experimentation? How will platforms and ecosystems evolve around AI services? And how can organizations govern responsibility, sustainability, and value capture?

Marking its 10th edition, IWSiB 2027 is both a celebration of nine years of community building and a renewal point for the field. The workshop brings together researchers and practitioners from software engineering, information systems, management, entrepreneurship, and innovation to examine how organizations create, deliver, capture, and sustain value through software-intensive products, services, platforms, and ecosystems.

IWSiB 2027 will be co-located with the International Workshop on Software Engineering for Systems-of-Systems and Software Ecosystems (SESoS 2027). SESoS provides a forum for software engineering researchers and practitioners to exchange ideas and experiences, analyze research and development challenges, discuss promising solutions, and propose inspiring visions for the future of systems-of-systems (SoS) and software ecosystems (SECO).

The co-location will create opportunities for interaction between the IWSiB and SESoS communities around shared interests such as software platforms and ecosystems, AI-enabled software organizations, architecture and governance, sustainability, and responsible value creation.

Designed as a highly interactive, one-day event, IWSiB 2027 will combine a keynote, discussant-led paper sessions, structured focus-group discussions, and a plenary roadmap session. Together, participants will:

1. Exchange research findings, emerging ideas, industrial experiences, and work in progress.
2. Identify pressing research problems in AI-native software-intensive business that require collaboration between academia and industry.
3. Develop a prioritized research agenda for 2027–2030, including open problems, empirical study opportunities, and new collaborations.

The workshop’s outcomes will include a public roadmap for future research, seed collaborations between academia and industry, and a community-authored summary of key challenges and opportunities.

We invite researchers, practitioners, and doctoral students to contribute full research papers, industry experience and position papers, and extended abstracts. Contributions may address AI-native software organizations, agentic software, emerging pricing and business models, foundation-model platforms, AI-enabled entrepreneurship, governance, compliance, sustainability, and related topics in software-intensive business. Established IWSiB themes (incl. including software product management, software ecosystems, open-source business models, and software-startup methods) also remain in scope.

Selected high-quality papers presented at the workshop will be invited to submit extended versions to a Special Issue of the Automated Software Engineering journal.

Call for Papers

Software-producing organizations operate in fast-moving markets shaped by changing customer needs, AI-enabled automation, platform dependencies, regulation, sustainability demands, and competition over data, talent, and ecosystems. These organizations must continuously connect software engineering decisions with business outcomes—including product–market fit, pricing, customer adoption, platform governance, ecosystem positioning, operational resilience, and long-term value capture. Addressing these challenges requires perspectives that neither software engineering nor business research alone can provide.

Marking its 10th edition, IWSiB 2027 focuses on AI-native software-intensive business. Generative AI, autonomous development agents, code-synthesis platforms, AI-assisted product analytics, and AI-enabled customer-facing services are changing how software is conceived, built, validated, governed, and commercialized.

IWSiB 2027 brings together researchers, practitioners, and doctoral students from software engineering, information systems, management, entrepreneurship, and innovation. The workshop examines how organizations create, deliver, capture, and sustain value through software-intensive products, services, platforms, and ecosystems.

Designed as a highly interactive, one-day event, IWSiB 2027 will combine a keynote, discussant-led paper sessions, structured focus-group discussions, and a plenary roadmap session. The workshop aims to exchange evidence and emerging ideas, identify pressing research problems, foster collaboration between academia and industry, and develop a prioritized research agenda for software-intensive business.

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Scope & Topics

IWSiB welcomes contributions at the intersection of software engineering and business.

Submissions may address technical artifacts, methods, or tools, but should explain how they influence decision-making, value creation, adoption, governance, organizational design, or ecosystem positioning. Managerial and strategy-oriented submissions should make explicit how their arguments depend on software engineering capabilities, processes, architectures, data, or infrastructure.

Topics of interest include, but are not limited to:

AI-native Software Business

• Business and pricing models for AI-powered products and services
• Economics of agentic software and autonomous services
• Per-task, per-token, usage-based, and outcome-based pricing
• Business value and risks of AI-assisted software development
• AI-augmented and AI-autonomous software organizations
• Human–AI collaboration in software products and operations
• Generative AI in product development, analytics, and customer-facing services

Software Platforms and Ecosystem Shifts

• Foundation-model platforms as a layer in the software stack
• Marketplaces for AI agents, tools, models, and integrations
• Data and model marketplaces
• Data provenance, intellectual property, and licensing
• Platform orchestration, architecture, governance, and evolution
• Platform dependencies and ecosystem positioning
• Software ecosystem structures, dynamics, and lifecycle management

Software Product Management

• Product strategy and roadmapping
• Product–market fit and customer adoption
• Pricing and monetization
• AI-assisted product analytics and decision-making
• Continuous discovery, experimentation, innovation, and improvement
• Product and organizational implications of AI-enabled development

Software Startups and Entrepreneurship

• AI-native, “vibe-coded,” and solo-founder startups
• Startup viability, defensibility, scaling, and growth
• Generative AI in ideation, validation, and customer discovery
• Time-to-market compression and its organizational effects
• Funding-cycle implications of AI-assisted development
• Corporate ventures, pivots, and emerging software-business models

Governance, Regulation, and Responsible Innovation

• Governance of generative and agentic AI
• Responsible, ethical, and trustworthy AI
• The EU AI Act, GDPR–AI intersections, and regulatory compliance
• Compliance costs and their relationship to engineering decisions
• Security, accountability, transparency, and risk management
• Digital sovereignty and geopolitical fragmentation of software markets

Sustainability in Software-intensive Business

• Carbon and energy economics of AI-intensive products
• Sustainable software products, platforms, and business models
• Environmental implications of model and infrastructure choices
• Circular and sustainable digital business models
• Balancing economic, environmental, and societal value

Established and Emerging IWSiB Topics

• Software ecosystems and ecosystem engineering
• Open-source and inner-source business models
• Open-source strategy, governance, compliance, and community health
• Agile and lean methods, practices, and organizations
• Continuous experimentation and evidence-driven development
• Software product and engineering management
• Data products and the data economy
• Socio-technical coordination and organizational design
• Software-startup methods and practices

Other emerging topics related to software-intensive business

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Submission Guidelines

We invite original and unpublished contributions describing novel research, industrial experiences, emerging ideas, and new research questions. Contributions at all stages of research are welcome, including preliminary results and work in progress that can stimulate discussion and collaboration.

Three submission categories are available:

• Full Papers — maximum 8 pages
• Industry Experience and Position Papers — maximum 4 pages
• Extended Abstracts — maximum 4 pages

Extended Abstracts are particularly suitable for work in progress, early-stage ideas, emerging research questions, and proposals for empirical studies. They provide an opportunity to receive constructive feedback and engage the workshop community in developing the work further.

Open access: Extended Abstracts will be published open access without an article processing charge (APC).

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Submission Format

Submissions must follow the ACM Conference Proceedings format using the ACM Primary Article Template in double-column format.

Page limits include all manuscript content, including the abstract, figures, tables, references, and appendices.

All submissions must:

• Be written in English
• Be submitted in PDF format
• Include author names and affiliations
• Comply with the applicable ICSE 2027 workshop submission policies

The workshop uses single-blind review. Authors should therefore include their names and affiliations in the submitted manuscript.

Submissions will be made through the ICSE 2027 HotCRP System

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Review Process

Each submission will receive at least three reviews from members of the international Program Committee. Conflicts of interest will be declared and managed through the submission system.

Submissions will be evaluated according to:

• Originality and relevance to software-intensive business
• Clarity and coherence of the contribution
• Rigor and appropriateness of the argument, method, and evidence
• Connection between software engineering and business implications
• Potential to generate meaningful workshop discussion
• Potential for cross-disciplinary or industry impact

For industry experience papers, reviewers will emphasize the depth, authenticity, and relevance of the reported experience, rather than requiring methodological novelty comparable to a full research paper.

Accepted papers will be presented and discussed at the workshop. Each paper will be assigned a discussant who will initiate and help lead the discussion following the presentation.

At least one author of each accepted paper must register for and present the paper at the workshop, in accordance with ICSE 2027 participation and registration policies.

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Special Issue Opportunity for 2027 Papers

Selected high-quality papers presented at the workshop 2027 will be invited to submit extended versions to a Special Issue of the Automated Software Engineering journal.