Thu 30 May 2019 14:30 - 14:40 at Place du Canada - Trends and Challenges in SE Chair(s): Barbora Buhnova
A quantum computer (QC) can solve many computational problems more efficiently than a classic one. The field of QCs is growing: companies (such as DWave, IBM, Google, and Microsoft) are building QC offerings. We position that software engineers should look into defining a set of software engineering practices that apply to QC’s software. To start this process, we give examples of challenges associated with testing such software and sketch potential solutions to some of these challenges.
Thu 30 MayDisplayed time zone: Eastern Time (US & Canada) change
Thu 30 May
Displayed time zone: Eastern Time (US & Canada) change
14:00 - 15:30 | Trends and Challenges in SENew Ideas and Emerging Results / Technical Track / Software Engineering in Practice / Papers at Place du Canada Chair(s): Barbora Buhnova Masaryk University | ||
14:00 20mTalk | Software Engineering for Machine Learning: A Case StudySEIPIndustry Program Software Engineering in Practice Saleema Amershi Microsoft, Andrew Begel Microsoft Research, Christian Bird Microsoft Research, Robert DeLine Microsoft Research, Harald Gall University of Zurich, Ece Kamar Microsoft, Nachiappan Nagappan Microsoft Research, Besmira Nushi Microsoft Research, Thomas Zimmermann Microsoft Research Pre-print | ||
14:20 10mTalk | Blockchain-based Software EngineeringNIER New Ideas and Emerging Results Moritz Beller Delft University of Technology, Joseph Hejderup Delft University of Technology, Netherlands Pre-print | ||
14:30 10mTalk | On Testing Quantum ProgramsNIER New Ideas and Emerging Results Pre-print | ||
14:40 10mTalk | Towards a Systematic Study of Values in SE: Tools for Industry and EducationNIER New Ideas and Emerging Results Emily Winter Lancaster University, Stephen Forshaw Lancaster University, Lucy Hunt Lancaster University, Maria Angela Ferarrio Lancaster University | ||
14:50 10mTalk | Robustness and Games Against Nature in Molecular ProgrammingNIER New Ideas and Emerging Results Jack H. Lutz Iowa State University, Neil Lutz University of Pennsylvania, Robyn Lutz Iowa State University, Matthew Riley Iowa State University | ||
15:00 20mTalk | Statistical Algorithmic Profiling for Randomized Approximate ProgramsTechnical Track Technical Track Keyur Joshi University of Illinois at Urbana-Champaign, Vimuth Fernando University of Illinois at Urbana-Champaign, Sasa Misailovic University of Illinois at Urbana-Champaign Pre-print | ||
15:20 10mTalk | Discussion Period Papers |