Ivica Crnkovic
Ivica Crnkovic is a professor of software engineering at Chalmers University and University of Gothenburg, Sweden.. He is the director of ICT Area of Advance at Chalmers University, and Chalmers AI research center. His research interests include component-based software engineering, software architecture, software development processes, and software engineering for large complex systems, and recently SE for A . Professor Crnkovic is the author of more than 200 refereed publications on software engineering topics, and guest editor of a number of special issues in different journals and magazines, such as IEEE Software, and Elsevier JSS . He was the general chair of 40th International Conference on Sofwtare Engineering (ICSE) 2018, to be held in Gothenburg, May 27-June 3, 2018. He also has been general chair of several top-level software engineering conferences (such as ICSE 2017, ECSA 2015, ASE 2014, Comparch, WICSA 2011, ESEC/FSE 2007,) and PC Chair (COMPSAC 2015, ECSA 2012, Euromicro SEAA 2006, etc.). His teaching activities cover several courses in the area of Software Engineering undergraduate and graduate courses. From 1985 to 1998, Ivica Crnkovic worked at ABB, Sweden, where he was responsible for software development environments and tools. Professor Crnkovic received an M.Sc. in electrical engneering, an M.Sc. in theoretical physics, and a Ph.D. in computer science in 1991, all from the University of Zagreb, Croatia. More information is available on http://www.ivica-crnkovic.net.
Visar 48 publikationer
Software Deployment on Heterogeneous Platforms: A Systematic Mapping Study
SAML 2021 - First international workshop on software architecture and machine learning
On the experiences of adopting automated data validation in an industrial machine learning project
Message from the WAIN 2021 Workshop Chairs
From a Data Science Driven Process to a Continuous Delivery Process for Machine Learning Systems
HPM-Frame: A Decision Framework for Executing Software on Heterogeneous Platforms
Engineering AI Systems: A Research Agenda
DevOps for AI - Challenges in Development of AI-enabled Applications
Refactoring Software in the Automotive Domain for Execution on Heterogeneous Platforms
Principles for Re-architecting Software for Heterogeneous Platforms
Software Challenges in Heterogeneous Computing: A Multiple Case Study in Industry
Message from the GE 2019 Program Co-Chairs
Managing diversity in distributed software development education-A longitudinal case study
Architecture optimization: speed or accuracy? both!
Icse: 40th international conference on software engineering may-27-june 3 2018 gothenburg, Sweden
ICSE 40th international conference on software engineering
It takes three to tango: Requirement, outcome/data, and AI driven development
A Review on Software Architectures for Heterogeneous Platforms
Message from the ICSE 2018 General Chair
Meeting industry-academia research collaboration challenges with agile methodologies
Hall of Fame nomination paper: Distributed Software Development course
Model-driven engineering: a facilitator for engineering mission-critical IoT systems
System Level Partitioning for Embedded Systems
Introduction to the special issue on “New frontiers in software architecture”
On the Use of Component-Based Principles and Practices for Architecting Cyber-Physical Systems
Extra-Functional Properties Composability for Embedded Systems Partitioning
The implications of employing component based software design in non-commercial applications
Twenty-eight years of component-based software engineering
Continuous experimentation on cyber-physical systems: Challenges and opportunities
Adaptive message restructuring using model-driven engineering
Message from the program chairs-in-chief - Part III
Systematic Evaluation of Three Data Marshalling Approaches for Distributed Software Systems
Towards specifying pragmatic software reuse
Framing Sustainability as a Property of Software Quality
Component-Based and Model-Driven Engineering: What is the difference? A CBSE perspective
Architectural Bad Smells in Software Product Lines: An Exploratory Study
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Visar 2 forskningsprojekt
Software Engineering for AI/ML/DL
HELPING: Modellering av heterogena plattformar av inbyggda system