Recovering software requirements from system-user interaction traces
SEKE '02 Proceedings of the 14th international conference on Software engineering and knowledge engineering
From run-time behavior to usage scenarios: an interaction-pattern mining approach
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Software Engineering
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
AIMSA'10 Proceedings of the 14th international conference on Artificial intelligence: methodology, systems, and applications
Dynamic decision tree for legacy use-case recovery
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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While code understanding is the primary program comprehension activity, it is quite challenging to recognize the application requirements from code, since they have usually been occluded by a set of layers of later implementation decisions. An alternative source ofevidence, especially valuable for understanding the purposes for which the application was built, can be the dynamic behavior of the system, and more specifically the system-user interaction. We have developed a method for modeling the application behavior from the user's perspective in the form of use case models, using recorded traces of system-user interaction. We use data mining and pattern matching methods to mine these traces for frequently occurring user tasks. When interesting patterns are discovered, they are augmented with semantic information and they are used to build use case models. We demonstrate a successful application of this method to recover use case models from interaction traces with legacy 3270 systems to serve user interface reengineering activities.