Current state: More and more systems become software-intensive and this is in particular the case for cyber-physical systems, which are characterized by a close interaction between computational entities that control physical entities in the real world. Companies developing cyber-physical systems face an increasing difficulty in delivering high-quality solutions fulfilling customer demands within cost and delivery time, as the market requires faster and faster innovation. Current methods for software engineering are insufficient to meet this challenge.
Future state projection: Software-intensive systems, and in particular cyber-physical systems, will in the future be significantly more flexible, adaptable, and will require continuous evolution to instantaneously provide improved and new features to their users. An efficient and informed selection of existing components and services, and fast architectural adaptations will be crucial for companies’ success, which in turn requires a systematic approach in the decision-making process with respect to strategic component or service selection from a mixture of different options: in-house development, subcontracting, open source, COTS or services.
ORION objective: The research in the field has thus far been fragmented with researchers studying different aspects of component and service selection. ORION will bring a holistic decision support system to manage the trade-off between functionality, time to market, cost, quality and risk to develop competitive software-intensive system using components and services. This will be done with respect to development of software-intensive systems, and in particular cyber-physical systems. The intention is to take strategic, tactical, and operational concerns into account. Specifically, ORION will address component or service selection and their integration into a system. It will address decision-making principles, methods, technologies and business models, and hence answer to industry needs and requirements. Five decision areas will be in focus from a software engineering perspective: 1) business and requirements engineering, 2) non-functional properties, 3) life-cycle perspective, 4) architecture, and 5) implementation and integration, including verification & validation (V&V). Decision support based on evidence and a knowledge repository will complement the decision support system. An integration of the decision support system with a user interface will be provided, and used for empirical validation using an automotive experimental platform.
ORION partners: BTH, MDH, and SICS bring together a unique integration of world-leading competencies in software-intensive systems, cyber-physical systems, component-based development, strategic software management in software engineering and empirical software
|First Name||Last Name||Title|
|Séverine||Sentilles||Senior Lecturer,Thesis Coordinator|
Component-based development of embedded systems with GPUs (Mar 2020) Gabriel Campeanu, Jan Carlson, Séverine Sentilles Journal of Systems and Software (JSS)
Software Qualities and their Dependencies (Jan 2020) Séverine Sentilles, Barry Boehm , Catia Trubiani , Xavier Franch , Anne Koziolek ACM SIGSOFT Software Engineering Notes (ACM SIGSOFT SEN)
Proceedings of the 2nd ACM SIGSOFT International Workshop on Software Qualities and Their Dependencies (Aug 2019) Séverine Sentilles, Barry Boehm , Catia Trubiani , Anne Koziolek Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE'19)
Selecting component sourcing options: A survey of software engineering’s broader make-or-buy decisions (Mar 2019) Markus Borg , Panagiota Chatzipetrou , Krzysztof Wnuk , Emil Alégroth , Tony Gorschek , Efi Papatheocharous , Syed Muhammad Ali Shah , Jakob Axelsson Information and Software Technology (IST)
What do we know about software security evaluation? A preliminary study (Dec 2018) Séverine Sentilles, Efi Papatheocharous , Federico Ciccozzi 6th International Workshop on Quantitative Approaches to Software Quality (QuASoQ 2018)