Interactions of individual and pair programmers with an intelligent tutoring system for computer science

Interactions of individual and pair programmers with an intelligent tutoring system for computer science Harsley et al., SIGCSE'17 A short and easy paper for today, which examines the difference between pair programming and working individually in an educational context. The study involves 116 students participating in a series of seven linked-list programming tasks designed to ... Continue Reading

Cardiologist-level arrhythmia detection with convolutional neural networks

Cardiologist-level arrythmia detection with convolutional neural networks Rajpurkar, Hannun, et al., arXiv 2017 See also https://stanfordmlgroup.github.io/projects/ecg. This is a story very much of our times: development and deployment of better devices/sensors (in this case an iRhythm Zio) leads to collection of much larger data sets than have been available previously. Apply state of the art ... Continue Reading

Automatic database management system tuning through large-scale machine learning

Automatic database management system tuning through large-scale machine learning Aken et al. , SIGMOD'17 Achieving good performance in DBMSs is non-trivial as they are complex systems with many tunable options that control nearly all aspects of their runtime operation. OtterTune uses machine learning informed by data gathered from previous tuning sessions to tune new DBMS ... Continue Reading

ACIDRain: concurrency-related attacks on database backed web applications

ACIDRain: Concurrency-related attacks on database-backed web applications Warszawski & Bailis, SIGMOD'17 Welcome back to a new term of The Morning Paper. To kick things off, we have 'ACID Rain' - a terrific paper from SIGMOD'17 that pulls together a number of threads we've studied previously: transaction processing, anomalies, and security. What ACIDRain demonstrates is that ... Continue Reading