@inbook {1600,
	title = {Towards Understanding of Structural Attributes of Web APIs Using Metrics Based on API Call Responses},
	booktitle = {Open Source Software: Mobile Open Source Technologies},
	series = {IFIP Advances in Information and Communication Technology},
	volume = {427},
	year = {2014},
	pages = {83-92},
	publisher = {Springer Berlin Heidelberg},
	organization = {Springer Berlin Heidelberg},
	abstract = {

The latest trend across different industries is to move towards (open) web APIs. Creating a successful API, however, is not easy. A lot depends on consumers and their interest and willingness to work with the exposed interface. Structural quality, learning difficulty, design consistency, and backwards compatibility are some of the important factors in this process. The question, however, is how one can measure and track such attributes. This paper presents the beginnings of a measurement framework for web APIs that is based on the information readily available both to API providers and API consumers - API call responses. In particular, we analyze the tree-based hierarchical structure of JSON and XML data returned from API calls. We propose a set of easy-to-compute metrics as a starting point and describe sample usage scenarios. These metrics are illustrated by examples from some of the popular open web APIs.
},
	isbn = {978-3-642-55127-7},
	doi = {10.1007/978-3-642-55128-4_11},
	url = {http://dx.doi.org/10.1007/978-3-642-55128-4_11},
	author = {Janes, Andrea and Remencius, Tadas and Sillitti, Alberto and Succi, Giancarlo},
	editor = {Corral, Luis and Sillitti, Alberto and Succi, Giancarlo and Vlasenko, Jelena and Wasserman, AnthonyI.}
}
@proceedings {1466,
	title = {A Novel Application of Open Source Technologies to Measure Agile Software Development Process},
	volume = {378},
	year = {2012},
	month = {09/2012},
	pages = {316-321},
	publisher = {IFIP AICT,  Springer},
	abstract = {In the last 10 years Open Source products have been widely used in industry. New methodologies and best practices to develop Open Source software appeared. In this work, we present an application that runs on Android-based mobile phones and collects proximity data with other devices via Bluetooth. The application gives new insights into measuring proximity inside a team of software developers. Data collection process is automatic so that the team members are not distracted from their daily activities. The collected data represent time frames when developers work alone at their machines and when they do Pair Programming with their colleagues.},
	author = {Corral, Luis and Janes, Andrea and Remencius, Tadas and Strumpflohner, Juri and Vlasenko, Jelena}
}
