The ISCLab develops methodologies to build software systems that are both resource efficient (CPU, memory, energy) and adequate with modern software development techniques. We push further the knowledge frontier of Software Engineering with innovative methodologies, rigorous empirical evaluations, and valuable software artifacts. We regularly contribute to open source ecosystems and corporate software systems.
Our mission includes:
- Research and develop techniques to make software efficient, eco-friendly, and less resource consuming. To meet these objectives we employ deep learning techniques, empirical studies, and data visualizations.
- Improving the development of software systems for resource intensive systems and robotics systems.
- Preparing students to leading position in software industry and academia.
|Apr 11, 2019||ICSE is coming, and a nice crowd from our lab will be there!|
|Mar 4, 2019||Anya Helene Bagge is visiting the ISCLab in March 2019|
|Mar 4, 2019||The paper Live Programming in Practice: a Controlled Experiment on State Machines for Robotic Behaviors is online at the Information and Software Technology journal|
|Mar 4, 2019||The short paper Continuation to the Rescue: Seamlessly Handling Battery Interruption in Drones is accepted at the 3rd IEEE International Conference on Robotic Computing (IRC ‘19). Available online|
|Mar 4, 2019||Our paper VizRob: Effective Visualizations to Debug Robotic Behaviors is accepted at the 3rd IEEE International Conference on Robotic Computing (IRC ‘19). Available online|
|Mar 4, 2019||The paper PerfVis: Pervasive Visualization in Immersive Augmented Reality for Performance Awareness is accepted at the 10th ACM/SPEC International Conference on Performance Engineering (Work in progress)|
|Mar 4, 2019||Our paper titled Building an Expert Recommender Chatbot is accepted at the 1st Workshop on Bots in Software Engineering (collocated with ICSE’19)|
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