Our paper "When Uncertainty Leads to Unsafety" has been accepted in Empirical Software Engineering! We studied how UAV decision uncertainty predicts unsafe behavior. Read our article at this link: 📄 https://t.co/E7NlLG7nZP @SajadKhatiri @spanichella @paolo_tonella @uniber

@SajadKhatiri just started the "UAV Tool Competition" at the @ICSTconf Conference.

Are you interested in future software engineering research on simulation-based testing for autonomous systems? Our position paper has been accepted for the special issue "A 2030 Roadmap for Software Engineering" @acm_tosem ! 🙏@SajadKhatiri Pooja Rani, Timo Kehrer @spanichella

The recently accepted InnoGuard (EU) and SwarmOps (SNF) projects will welcome 4 PhD students in Software Engineering & Robotics. Apply to the positions by sending the documents indicated here https://t.co/4QDYemLfyC to sebastiano.panichella@unibe.ch timo.kehrer@unibe.ch

@SajadKhatiri has presented and successfully defended his PhD. Ph.D proposal entitled "Bridging the Reality-Gap in Testing Cyber-physical Systems" (reviewers were Piotr Krzysztof Didyk and Carlo Furia). Now, he is one step closer to his Ph.D. defense (TBD next year). @USIch

Join us again this year for the second edition of the UAV Testing Competition. Looking forward to your novel testing ideas!

میان ما و شما دریایی خون فاصله است. #نیکا_شاکرمی

The @ZHAW Software Engineering team (@BirchlerChris, @SajadKhatiri, @spanichella) traveled this April to Lisbon for the @ICSEconf. We presented studies concerning @COSMOS_DEVOPS and @ARIESBOND1 projects. Here a visual summary of our very positive experience at @ICSEconf!

@SajadKhatiri presented his work "Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist" (co-authored with @spanichella and @paolo_tonella) at @ICSEconf. The framework presented (and already adopted by the @sbftworkshop) is critical for testing research for #UAVs

@BirchlerChris is now presenting his research data, "SensoDat: Simulation-based Sensor Dataset of Self-driving Cars" at @msrconf. #MSR2024

This year, we have another new competition at @sbftworkshop @SajadKhatiri is presenting the #uav tool competition

Finally @SajadKhatiri is presenting the CPS-UAV (Drone) Testing tool competition framework and results at @sbftworkshop @Prasun_Saurabh #UAV #testing @ICSEconf

This year we have a new competition at @sbftworkshop @spanichella and @BirchlerChris are presenting the #python tool competition

The organisers and participants of the Python test generation competition are presenting the tools and the competition results. @spanichella

Thrilled to share that @SajadKhatiri's paper on "Simulation-based Testing of Unmanned Aerial Vehicles with Aerialist" (co-authored with @spanichella, @paolo_tonella) got accepted at @ICSEconf 2024! 👏 Tool link https://t.co/my6U3AYd3k and video: https://t.co/pZG0qsu3HL #UAV

I'm hiring one PhD student in software engineering, to work on a new project on understanding and detecting log smells! Candidates with some knowledge in log analysis, MSR, empirical SE, and software quality are encouraged to apply. More information at

Great news! We have a plethora of tool competitions for you to work on this year, including the fantastic looking CPS -UAV challenge from @SajadKhatiri. Head on over to our tools page for more information and dates (*cough* end of Nov). Have fun 😘

Check out the competition guideline ( https://t.co/OX9KJ2s4d8) for more details. Participation Deadline: by the end of November 2023 Competition Co-Chairs: @SajadKhatiri @Prasun_Saurabh timothy Zimmermann @CharithWire @BirchlerChris @spanichella

The Software Under Test is PX4-Avoidance, a vision-based autonomous obstacle avoidance system on top of PX4-Autopilot. We create challenging scenarios by placing obstacles on the UAV's path that could lead to a crash or unsafe flight.

We provide a simple platform ( https://t.co/NBVB6H5ati) to facilitate your onboarding in the UAV domain. Your objective is to develop methods for generating diverse and effective test cases for autonomous vision-based UAV navigation systems.