Efficient User Support with DACS Scheme

Author(s):  
Kazuya Odagiri ◽  
Rihito Yaegashi ◽  
Masaharu Tadauchi ◽  
Naohiro Ishii
Keyword(s):  
2012 ◽  
Author(s):  
Yi Jin
Keyword(s):  

3C ON-LINE ◽  
1995 ◽  
Vol 2 (2) ◽  
pp. 18-19
Author(s):  
Fred Beisse

3C ON-LINE ◽  
1997 ◽  
Vol 4 (2) ◽  
pp. 8-12
Author(s):  
Fred Beisse

VINE ◽  
1997 ◽  
Vol 27 (5) ◽  
pp. 53-58
Author(s):  
Nicholas Cook ◽  
Tracey Stanley
Keyword(s):  

2020 ◽  
Vol 245 ◽  
pp. 08008
Author(s):  
Sam Cunliffe ◽  
Ilya Komarov ◽  
Thomas Kuhr ◽  
Martin Ritter ◽  
Francesco Tenchini

Belle II is a rapidly growing collaboration with members from one hundred and nineteen institutes spread around the globe. The software development team of the experiment, as well as the software users, are very much decentralised. Together with the active development of the software, such decentralisation makes the adoption of the latest software releases by users an essential, but quite challenging task. To ensure the relevance of the documentation, we adopted the policy of in-code documentation and configured a website that allows us to tie the documentation to given releases. To prevent tutorials from becoming outdated, we covered them by unit-tests. For the user support, we use a question and answer service that not only reduces repetition of the same questions but also turned out to be a place for discussions among the experts. A prototype of a metasearch engine for the different sources of documentation has been developed. For training of the new users, we organise centralised StarterKit workshops attached to the collaboration meetings. The materials of the workshops are later used for self-education and organisation of local training sessions.


Introduction ◽  
2020 ◽  
Author(s):  
Heidemarie Sambale ◽  
Hanna Hedeland ◽  
Tommi Antero Pirinen

2021 ◽  
Author(s):  
Delnavaz Mobedpour

With the proliferation of web services, the selection process, especially the one based on the non-functional properties (e.g. Quality of Service – QoS attributes) has become a more and more important step to help requestors locate a desired service. There have been many research works proposing various QoS description languages and selection models. However, the end user is not generally the focal point of their designs and the user support is either missing or lacking in these systems. The QoS language sometimes is not flexible enough to accommodate users’ various requirements and is too complex so that it puts extra burden on users. In order to solve this problem, in this thesis we design a more expressive and flexible QoS query language (QQL) targeted for non-expert users, together with the user support on formulating queries and understanding services in the registry. An enhanced selection model based on Mixed Integer Programming (MIP) is also proposed to handle the QQL queries. We performed experiments with a real QoS dataset to show the effectiveness of our framework.


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