@conference {2019:icpe:benchflow,
	title = {Behavior-driven Load Testing Using Contextual Knowledge {\textemdash} Approach and Experiences},
	booktitle = {10th ACM/SPEC International Conference on Performance Engineering (ICPE 2019)},
	year = {2019},
	month = {April},
	pages = {265-272},
	publisher = {ACM/SPEC},
	organization = {ACM/SPEC},
	address = {Mumbai, India},
	abstract = {Load testing is widely considered a meaningful technique for performance quality assurance. However, empirical studies reveal that in practice, load testing is not applied systematically, due to the sound expert knowledge required to specify, implement, and execute load tests. Our Behavior-driven Load Testing (BDLT) approach eases load test specification and execution for users with no or little expert knowledge. It allows a user to describe a load test in a template based on
natural language and to rely on an automated framework to execute the test. Utilizing the system{\textquoteright}s contextual knowledge such as workload-influencing events, the framework automatically determines the workload and test configuration. We investigated the applicability of our approach in an industrial case study, where we were able to express four load test concerns using BDLT and received positive feedback from our industrial partner. They understood the BDLT definitions well and proposed further applications, such as the usage for software quality acceptance criteria.},
	keywords = {BenchFlow, Performance Testing},
	doi = {10.1145/3297663.3309674},
	author = {Henning Schulz and Du{\v s}an Okanovi{\'c} and Andr{\'e} van Hoorn and Vincenzo Ferme and Cesare Pautasso}
}
@conference {benchflow:2015:closer,
	title = {"BPELanon": Protect Business Processes on the Cloud},
	booktitle = {5th International Conference on Cloud Computing and Service Science (CLOSER 2015)},
	year = {2015},
	month = {May},
	pages = {241-250},
	publisher = {SciTePress},
	organization = {SciTePress},
	address = {Lisbon, Portugal},
	abstract = {The advent of Cloud computing supports the offering of many Business Process Management applications on a
distributed, per-use basis environment through its infrastructure. Due to the fact that privacy is still an open
issue in the Cloud, many companies are reluctant to move their Business Processes on a public Cloud. Since the
Cloud environment can be beneficiary for the Business Processes, the investigation of privacy issues needs to
be further examined. In order to enforce the Business Process sharing on the Cloud we propose a methodology
({\textquotedblleft}BPELanon{\textquotedblright}) for the anonymization of Business Processes expressed in the Web Service Business Process
Execution Language (BPEL). The method transforms a process to preserve its original structure and run-time
behavior, while completely anonymizing its business semantics. In this work we set the theoretical framework
of the method and define a five management layers architecture to support its realization. We developed a tool
that implements the {\textquotedblleft}BPELanon{\textquotedblright} method, validate its functionality and evaluate its performance against a
collection of real-world process models that were conducted in the scope of research projects.},
	keywords = {Anonymization, BenchFlow, BPEL},
	doi = {10.5220/0005427502410250},
	author = {Marigianna Skouradaki and Vincenzo Ferme and Frank Leymann and Cesare Pautasso and Dieter Roller}
}
@demo {benchflow:2015:bpmeter,
	title = {BPMeter: Web Service and Application for Static Analysis of BPMN 2.0 Collections},
	year = {2015},
	month = {August},
	pages = {30-34},
	publisher = {Springer},
	address = {Innsbruck, Austria},
	abstract = {The number of business process models is constantly increasing as companies realize the competitive advantage of managing their processes. Measuring their size and structural properties can give useful insights. With the BPMeter tool, process owners can quickly compare their process with company{\textquoteright}s process portfolio, researchers can statically analyze a process to see which modeling language features have been used in practice, while modelers can obtain an aggregated view over their processes. In this demonstration we show how to use BPMeter, which provides a simple Web application to visualize the results of applying over 100 different size and structure metrics to BPMN 2.0 process models. The visualization features measurements, statistics and the possibility to compare the measurements with the ones obtained from the entire portfolio. Moreover we show how to invoke its RESTful Web API so that the BPMeter analyzer can be easily integrated with existing process management tools.},
	keywords = {BenchFlow, BPMN, Workflow Static Analysis},
	author = {Ana Ivanchikj and Vincenzo Ferme and Cesare Pautasso}
}
