@demo {2018:icsoc:demo:restalk,
	title = {RESTalk Miner: Mining RESTful Conversations, Pattern Discovery and Matching},
	year = {2018},
	month = {November},
	publisher = {Springer},
	address = {Hangzhou, Zhejiang, China},
	abstract = {REST has become the architectural style of choice for APIs, where clients need to instantiate a potentially lengthy sequence of requests to the server in order to achieve their goal, effectively leading to a RESTful conversation between the client and the server. 
Mining the logs of such RESTful conversations can facilitate knowledge sharing among API designers regarding design best practices as well as API usage and optimization. In this demo paper, we present the RESTalk Miner, which takes logs from RESTful services as an input and uses RESTalk, a domain specific language, to visualize them. It provides interactive coloring to facilitate graph reading, as well as statistics to compare the relative frequency of conversations performed by different clients. Furthermore, it supports searching for predefined patterns as well as pattern discovery.   },
	keywords = {conversation patterns, mining, RESTalk, RESTful conversation},
	author = {Ana Ivanchikj and Cesare Pautasso}
}
@conference {restalk:2016:europlop,
	title = {A Pattern Language for RESTful Conversations},
	booktitle = {Proceedings of the 21st European Conference on Pattern Languages of Programs (EuroPLoP)},
	year = {2016},
	month = {July},
	pages = {4:1{\textendash}4:22},
	publisher = {ACM},
	organization = {ACM},
	address = {Kloster Irsee, Germany},
	abstract = {As a good user interface design is important for the success of an app, so is a good API for the success of a Web service. Within the RESTful Web services community there is a need for a systematic approach in knowledge sharing, for which patterns are particularly suitable. Using a RESTful service to achieve a certain goal often requires multiple client-server interactions, i.e., to have a conversation. While patterns of such RESTful conversations can be uncovered from existing APIs{\textquoteright} usage scenarios, or the service engineering literature, they have never been gathered in a pattern language, nor properly visualized with a Domain Specific Modeling Language (DSML). These patterns provide valuable input for API designers, as well as API consumers, by establishing a common vocabulary to describe recurring conversations. To do so, this paper uses RESTalk, a DSML, to model the basic RESTful conversation patterns structured around the life cycle of a resource (create, discover, read, edit, delete, protect) by showing the corresponding sequences of HTTP request-response interactions. We show how the resulting pattern language can be applied to individual resources, or also collections of resources.},
	keywords = {conversation composition, conversation patterns, pattern language, RESTalk, RESTful conversation, RESTful web services},
	isbn = {978-1-4503-4074-8},
	doi = {10.1145/3011784.3011788},
	url = {http://doi.acm.org/10.1145/3011784.3011788},
	author = {Cesare Pautasso and Ana Ivanchikj and Silvia Schreier}
}
