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The Challenges of Increasingly Autonomous Systems

カーネギーメロン大学(Carnegie Mellon University, CMU)
ソフトウェアエンジニアリング研究所(Software Engineering Institute, SEI)
Companies across the world are introducing more autonomous features into their products. We are already seeing unmanned air vehicles and unmanned underwater vehicles and self-driving cars are nearing the market. In addition, systems like IBM’s Watson and self-programming thermostats like Nest use autonomous features in non-mobile applications. But there are challenges to this trend-especially the concept of trust. Autonomous systems are often complex and we already have challenges verifying and validating complex systems. But, in addition, some autonomous systems are non-deterministic and others are using neural nets and deep learning which further challenge our current verification and validation strategies. We need new V&V strategies to usher in the age of autonomous systems.

Achieving Software Capability with Confidence

カーネギーメロン大学(Carnegie Mellon University, CMU)
ソフトウェアエンジニアリング研究所(Software Engineering Institute, SEI)
(Deputy Director, Software Solutions Division)
Software increasingly defines the way we live our lives and conduct business. Innovations in software technology enable today’s systems to deliver rich functionality, enhance productivity, spur innovation, and provide competitive advantage. However, rapid evolution of software-reliant systems creates unprecedented technical and management challenges. With the increasing reliance on and penetration of software into our lives and society, the need for organizations to predictably develop, acquire, and sustain high-quality software systems has never been greater. This presentation will address how the Software Engineering Institute is addressing these technical and management challengesand the approaches SEI is taking to achieve software capabilities with confidence and assurance.






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情報工学研究院 情報創成工学研究系 梅田政信 教授
   E-mail:sei-lecture-entry*ci.kyutech.ac.jp (*を@に変えてお送りください)