Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
ClearCase MultiSite: Supporting Geographically-Distributed Software Development
Selected papers from the ICSE SCM-4 and SCM-5 Workshops, on Software Configuration Management
The parting of the ways: divergence, data management and collaborative work
ECSCW'95 Proceedings of the fourth conference on European Conference on Computer-Supported Cooperative Work
Tracking, analyzing, and visualizing learners' activities on discussion forums
WBED'07 Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2
Web Semantics: Science, Services and Agents on the World Wide Web
Web Semantics: Science, Services and Agents on the World Wide Web
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Multi-synchronous Collaborative Semantic Wikis
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
DSMW: a distributed infrastructure for the cooperative edition of semantic wiki documents
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User assistance for collaborative knowledge construction
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Advanced evidence collection and analysis of web browser activity
Digital Investigation: The International Journal of Digital Forensics & Incident Response
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In the Kolflow project, our general objective is to develop an assistance engine suitable for distributed applications. In order to provide contextualized and relevant assistance, we feed the assistance engine with interaction traces. Interaction traces record events occurring while users are interacting with applications. These traces become containers of valuable knowledge to providing assistance. Collecting interaction traces is a challenging issue that has been thoroughly studied in the context of local applications. In contrast, few approaches focus on collecting interaction traces in distributed applications. Yet, when applications are distributed, collecting interaction traces is even more challenging because new difficulties arise, such as data synchronization and multi-synchronous collaboration. In this paper, we propose a model and a tool for collecting traces in a distributed environment. The originality of the model is that it is tailored to fit distributed applications. We implemented the model in Collectra, a tool to collect interaction traces in distributed web applications. Collectra collects interaction traces and stores them in a dedicated trace-base management system. We report on the experiments we have conducted in order to evaluate performances of Collectra (both response time and memory space). Results of the experiments show that Collectra performs well and that it can be used to support the assistance tasks carried out by the assistance engine.