Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Beijun Shen"'
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 32:1101-1123
The development of a question answering (QA) system for application programming interface (API) documentation can greatly facilitate developers in API-related tasks. However, when applying deep learning technology, API QA systems suffer from the spur
Publikováno v:
Neural Processing Letters.
Publikováno v:
Library Management, 2015, Vol. 36, Issue 4/5, pp. 289-299.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LM-08-2014-0086
Autor:
Dehua Ju, Beijun Shen
Publikováno v:
Library Management, 2015, Vol. 36, Issue 4/5, pp. 329-339.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/LM-08-2014-0094
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 31:1517-1538
Trigger-action (TA) programming is a programming paradigm that allows end-users to automate and connect IoT devices and online services using if-trigger-then-action rules. Early studies have demonstrated this paradigms usability, but more recent work
Publikováno v:
2022 29th Asia-Pacific Software Engineering Conference (APSEC).
Publikováno v:
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering.
Publikováno v:
Proceedings of the VLDB Endowment. 14:2671-2674
The emergence of Hive greatly facilitates the management of massive data stored in various places. Meanwhile, data scientists face challenges during HiveQL programming - they may not use correct and/or efficient HiveQL statements in their programs; d
Autor:
Sung Hoon Kang, Beijun Shen
Publikováno v:
Matter. 4:766-769
Self-oscillating matter offers unique opportunities for compact and low maintenance autonomous systems. A new versatile approach to attain sustained self-oscillations with simple design and tunable frequency and amplitude is reported by programmable
Autor:
Dehua Ju, Beijun Shen
Publikováno v:
SCIREA Journal of Computer.