Health of smart ecosystems

Software is a core component of smart ecosystems, large ’system communities’ that emerge from the composition of autonomous, independent, and highly heterogeneous systems, like smart cities, smart grids, smart buildings. The systems that comprise smart ecosystems are not centrally owned, and mutually interact both explicitly and implicitly, leading to unavoidable contradictions and failures. The distinctive characteristics of smart ecosystems challenge software engineers with problems never addressed so far. In this paper we discuss the big challenge of defining a new concept of ’dependability’ and new approaches to reveal smart ecosystem failures.

[1]  Radu Calinescu,et al.  Large-scale complex IT systems , 2011, Commun. ACM.

[2]  A. McMichael,et al.  Assessing ecosystem health. , 1998, Trends in ecology & evolution.

[3]  Suman Jana,et al.  DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars , 2017, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).

[4]  Thomas Kuhn,et al.  Prototyping Automotive Smart Ecosystems , 2018, 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).

[5]  Alexandre M. Bayen,et al.  Negative externalities of GPS-enabled routing applications: A game theoretical approach , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[6]  Mark W. Maier.  Architecting Principles for Systems‐of‐Systems , 1996 .

[7]  Mauro Pezzè,et al.  Energy-Based Anomaly Detection A New Perspective for Predicting Software Failures , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER).

[8]  Carl E. Landwehr,et al.  Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.

[9]  Klaus Marius Hansen,et al.  Reviewing the Health of Software Ecosystems - A Conceptual Framework Proposal , 2013, IWSECO@ICSOB.

[10]  Miguel Á. Carreira-Perpiñán,et al.  On Contrastive Divergence Learning , 2005, AISTATS.

[11]  Douglas C. Schmidt,et al.  Ultra-Large-Scale Systems: The Software Challenge of the Future , 2006 .