IEEE-CS Tech Predictions, SWEBOK and Quantum Software: Towards Q-SWEBOK
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Hironori Washizaki, "IEEE-CS Tech Predictions, SWEBOK and Quantum Software: Towards Q-SWEBOK," QSE Tokyo 2025, August 1st, 2025
![Chinese Software Engineering Body of Knowledge (C-SWEBOK)
[MoE19] China MoE, “University Teaching Steering Committee on Software Engineering. C-SWEBOK:
The Chinese Software Engineering Body of Knowledge,” Higher Education Press, 2019
14](https://image.slidesharecdn.com/q-swebok-washizaki-20250801-250801071242-149e162e/85/IEEE-CS-Tech-Predictions-SWEBOK-and-Quantum-Software-Towards-Q-SWEBOK-14-320.jpg)
![Towards Q-SWEBOK: e.g., Requirements engineering [Sepulveda+24]
S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in
Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) 15](https://image.slidesharecdn.com/q-swebok-washizaki-20250801-250801071242-149e162e/85/IEEE-CS-Tech-Predictions-SWEBOK-and-Quantum-Software-Towards-Q-SWEBOK-15-320.jpg)
![Towards Q-SWEBOK: e.g., Requirements engineering [Sepulveda+24]
S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in
Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) 16](https://image.slidesharecdn.com/q-swebok-washizaki-20250801-250801071242-149e162e/85/IEEE-CS-Tech-Predictions-SWEBOK-and-Quantum-Software-Towards-Q-SWEBOK-16-320.jpg)
IEEE-CS Tech Predictions, SWEBOK and Quantum Software: Towards Q-SWEBOK
- 1. IEEE-CS Tech Predictions, SWEBOK and Quantum Software: Towards Q-SWEBOK QSE Tokyo 2025, August 1st, Tokyo Hironori (Hiro) Washizaki IEEE Computer Society, President Waseda University), Professor
- 2. Waseda University, Tokyo, Japan • A top institution of higher education • 50,000 students in 13 undergraduate and 21 postgraduate schools • Founded in 1882 by Shigenobu Okuma, former Prime Minister of Japan • Strong alumni network of over 660,000 members: 8 prime ministers of Japan; 3 prime ministers of Korea; important figures of Japanese literature (incl. Haruki Murakami); founders of leading companies, incl. Fast Retailing (UNIQLO), Sony, Samsung, Ito En, Lotte, CJ Group, POSCO 2 Japanese University Life https://www.youtube.com/watch?v=qjTqeejCWY0 • Has hosted many international software engineering and computing conferences – SPLC 2013, IEEE ICST 2017, IEEE COMPSAC 2018 (partially), ACM VRST 2018, ICIAM 2023, IEEE VCIP 2024, IEEE CSEE&T 2023 – Strong software engineering team: Prof. Hironori Washizaki, Prof. Naoyasu Ubayashi, Prof. Tomoji Kishi, and more!
- 3. 375,000+ Community Members 1031 Global Chapters 157 Countries with Computer Society Members For over 75 years, the Computer Society has empowered the people who advance technology by delivering resources and solutions that computing students and professionals need to achieve goals at all stages of their careers. 3 • Engage more students and early career professionals • Engage more industry individuals and organizations • Lead the way in new technical areas Goals • Empower and diversify volunteer base • Nimbleness in execution • Diversity and inclusion Themes
- 4. Goal. Lead the way in new technical areas • Technical committees and local chapters (for professionals and students) • Technical conferences and events • IEEE SERVICES/QRS, Quantum Week • Magazines and journals • Standards and ethics • Body of knowledge and frameworks: SWEBOK, SWECOM, EITBOK • Leaders forums • Technology Predictions (led by Dejan’s team) • 2024 accomplishments incl. • 5 Emerging Tech Programs awarded in 2024 • Involved in Leadership of AI Coalition • 2025 additions incl. • Enterprise GenAI Innovation Summit 4 Quantum Week 31 Aug – 5 Sep, Albuquerque, USA QSW July 7-12 Helsinki, Finland IEEE Meeting Series June 25-28 Chicago, USA William (Bill) Phillips, Laureate of the Nobel Prize in Physics 1997 Visit at VTT/IQM
- 5. Quantum Computing in IEEE-CS Technology Predictions • 2023: (none) • 2024: Accessible Quantum Computing • 2025: Quantum-HPC fusion (as “Honorable mention”) https://www.computer.org/resources/2025-top-technology-predictions 5
- 6. 6 Megatrends in IEEE Future Direction 2023 and IEEE-CS Technology Predictions 2024 IEEE CS Technology Prediction Team (Chair: Dejan Milojicic) https://www.computer.org/resources/2024-top-technology-predictions • AGI technologies are deeply entangled with socio, economic, and ecological aspects. Next Gen AI Generative AI applications Metaverse Low power AI accelerator
- 7. Accessible Quantum Computing Improved public understanding and access to the power of quantum computing. Increasing ‘conventional’ computing efficacy exponentially. • Problems/Demand • Conventional computing capability, particularly AI, creates an opportunity for a ‘quantum’ leap in delivering the ‘quantum’ dream—realizing the power of quantum mechanics. • However, current quantum technologies require very low temperature at which quantum computers can work nowadays. • Opportunities • Seamless computing: human-machine and machine-machine. • Cloud/distributed-computing resourcing (open source, open access, and otherwise). • Solving unresolved complex science/engineering problems. • Education, including thought leadership. • Impact • AI capability at radically faster speeds • Significant societal impact of technology—both positive and negative. • Many unique or customized combinations, e.g. personalized healthcare (genomics), new materials, etc. IEEE CS Technology Prediction Team (Chair: Dejan Milojicic) https://www.computer.org/resources/2024-top-technology-predictions 7
- 8. Accessible Quantum Computing (cont.) Improved public understanding and access to the power of quantum computing. Increasing ‘conventional’ computing efficacy exponentially. • Sustainable Solution/Business Opportunity • At this point, technology realization is still far from reality (cost-effective) however there are many education and research opportunities. • Thought leadership in the discipline. • Enablers: • Enhanced power of computing, collaboration and communication means that scientists around the world can work closer towards a ‘quantum leap.’ • Inhibitors: • Centered towards first world economies; with growing societal awareness of both positives and negatives of technology—there will be significant public concern regarding a ‘quantum’ leap. IEEE CS Technology Prediction Team (Chair: Dejan Milojicic) https://www.computer.org/resources/2024-top-technology-predictions 8
- 9. Technology Predictions, Comparison Middle impact to humanity, lowest maturity/market, 10 years for commercial adoption 9
- 10. Legitimation of Professional Authority Professional’s judgment and advice are oriented toward a set of substantive values 10 Paul Starr, “The Social Transformation of American Medicine,” Basic Books, 1982. Knowledge and competence of the professional have been validated by a community Consensually validated knowledge and competence rest on rational, scientific grounds Activities (and practices) Body of Knowledge Islands of Knowledge 10
- 11. Knowledge Area Topic Topic Reference Material Body of Knowledge Skills Competencies Jobs / Roles SWEBOK Software Engineering Professional Certifications SWECOM EITBOK Learning courses 11 Guide to the Software Engineering Body of Knowledge (SWEBOK) https://www.computer.org/education/bodies-of-knowledge/software-engineering • Guiding researchers and practitioners to identify and have common understanding on “generally-accepted-knowledge” in software engineering • Foundations for certifications and educational curriculum • ‘01 v1, ‘04 v2, ‘05 ISO adoption, ‘14 v3, ’24 v4 released! • IEEE SWEBOK Summit 2025, 2026 co-located with ICSE H. Washizaki, eds., “Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), Version 4.0,” IEEE Computer Society, 2024 11
- 12. SWEBOK Guide evolution from V3 to V4 • Modern engineering, practice update, BOK grows and recently developed areas Requirements Design Construction Testing Maintenance Configuration Management Engineering Management Process Models and Methods Quality Professional Practice Economics Computing Foundations Mathematical Foundations Engineering Foundations Requirements Architecture Design Construction Testing Operations Maintenance Configuration Management Engineering Management Process Models and Methods Quality Security Professional Practice Economics Computing Foundations Mathematical Foundations Engineering Foundations V3 V4 Agile, DevOps AI for SE, SE for AI H. Washizaki, eds., “Guide to the Software Engineering Body of Knowledge (SWEBOK Guide), Version 4.0,” IEEE Computer Society, 2024 Editor: H. Washizaki KA editors: A. Ihara, S. Ogata, N. Yoshioka, S. Munetoh, K. Shintani, E. Hayashiguchi and 15+ experts Development Management and quality Foundations 12
- 13. Mainframe 70’s – Early 80’s Late 80’s - Early 90’s Late 90’s - Early 00’s Late 00’s - Early 10’s PC, Client & server Internet Ubiquitous computing Late 10’s - Early 20’s IoT, Big data, AI GenAI, FM, Autonomous, Quantum, Continuum Late 20’s – 30’s Structured programming Waterfall Formalization Design Program generation Maturity Management Object-oriented Req. eng. Modeling Verification Reuse Model-driven Product-line Global & open Value-based Systems eng. Agile Iterative & incremental DevOps Empirical Data-driven Continuous SE and IoT SE and AI GenAI, Quantum, Sustainability, Autonomous, Continuum AI-assisted DevOps/OpsDev SWEBOK V1 SWEBOK V2 SWEBOK V3 SWEBOK V4 13 Partially adopted from “The Trailer of the ACM 2030 Roadmap for Software Engineering” SE +
- 14. Chinese Software Engineering Body of Knowledge (C-SWEBOK) [MoE19] China MoE, “University Teaching Steering Committee on Software Engineering. C-SWEBOK: The Chinese Software Engineering Body of Knowledge,” Higher Education Press, 2019 14
- 15. Towards Q-SWEBOK: e.g., Requirements engineering [Sepulveda+24] S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) 15
- 16. Towards Q-SWEBOK: e.g., Requirements engineering [Sepulveda+24] S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) 16
- 17. Quantum Software Engineering QS Requirements QS Architecture QS Design QS Construction QS Testing QS Operations QS Maintenance • Quantum specific requirements • Hybrid system requirements • Dynamic requirements updates and interdisciplinary collaboration • … • Standardized architectural practices, patterns, and methodologies • Formalization • … • Quantum programming languages • Dynamic programming for quantum circuit design • Compiler efficiency • Quantum (-inspired) and hybrid algorithm • Quantum-resistant algorithm • Frameworks, tools, and platforms • Quantum-classical integration • … • DevOps for QS • Automated tools • Availability, scalability and stability of hardware (and software) • … • Tools for validation and verification • Automated testing • Continuous experimental verification • Quantum error correction techniques • Approximation and error-resilient schemes • … Ref: S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) Development 17
- 18. Quantum Software Engineering QS Configuration Management QS Engineering Management QS Engineering Process QS Models and Methods QS Quality QS Security • Rapid technological evolution • Defined QS development lifecycle • Agile for QS • … • Specific modeling and transformation tools • Hybrid modeling integrating QS and classical software • Standardized methods • … • Complexity and uncertainty • Compatibility and efficiency • QC-to-QC • … • Quantum key distribution • Security and privacy management • (post-) Quantum cryptography • … Ref: S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) Management and quality 18
- 19. Quantum Software Engineering QS Professional Practice QS Economics QS Computing Foundations QS Mathematical Foundations QS Engineering Foundations • Training and education • Learning curve • … • Cost and technical complexity • QS project success model • Strategic business approaches • Quantum ecosystem • … • Improvement in quantum hardware • Increasing qubit stability and scalability • Larger datasets • Quantum database • Integration of quantum safe-protocol • … • Quantum mechanics • Improving coherence times and developing new materials • … Ref: S. Sepúlveda, et al. “Systematic Review on Requirements Engineering in Quantum Computing: Insights and Future Directions,” Electronics 2024, 13(15) Foundations 19