Software, performance and resource utilisation metrics for context-aware mobile applications

Ryan, C and Rossi, P 2005, 'Software, performance and resource utilisation metrics for context-aware mobile applications', in S. Morasca (ed.) Proceedings of the 11th IEEE International Software Metrics Symposium, Como, Italy, 1 September 2005, pp. 1-10.


Document type: Conference Paper
Collection: Conference Papers

Title Software, performance and resource utilisation metrics for context-aware mobile applications
Author(s) Ryan, C
Rossi, P
Year 2005
Conference name International Software Metrics Symposium
Conference location Como, Italy
Conference dates 1 September 2005
Proceedings title Proceedings of the 11th IEEE International Software Metrics Symposium
Editor(s) S. Morasca
Publisher IEEE
Place of publication Los Alamitos, CA
Start page 1
End page 10
Abstract As mobile applications become more pervasive, the need for assessing their quality, particularly in terms of efficiency (i.e., performance and resource utilisation), increases. Although there is a rich body of research and practice in developing metrics for traditional software, there has been little study on how these relate to mobile context-aware applications. Therefore, this paper defines and empirically evaluates metrics to capture software, resource utilisation and performance attributes, for the purpose of modelling their impact in context-aware mobile applications. To begin, a critical analysis of the problem domain identifies a number of specific software, resource utilisation and performance attributes. For each attribute, a concrete metric and technique of measurement is defined. A series of hypotheses are then proposed, and tested empirically using linear correlation analysis. The results support the hypotheses thus demonstrating the impact of software code attributes on the efficiency of mobile applications. As such, a more formal model in the form of mathematical equations is proposed in order to facilitate runtime decisions regarding the efficient placement of mobile objects in a context-aware mobile application framework. Finally, a preliminary empirical evaluation of the model is carried out using a typical application and an existing mobile application framework.
Subjects Communications Technologies not elsewhere classified
DOI - identifier 10.1109/METRICS.2005.44
Copyright notice © 2005 IEEE
ISSN 1530-1435
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