RAIRO-Theor. Inf. Appl.
Volume 46, Number 2, April-June 201212th Italian Conference on Theoretical Computer Science (ICTCS)
|Page(s)||203 - 229|
|Published online||21 February 2012|
Formal Methods to Improve Public Administration Business Processes
University of Camerino, School of Science and Technology, Computer
Science Division, Camerino, Italy
Accepted: 17 January 2012
Starting from late 90’s the public administration has started to employ a quite relevant amount of its budget in developing ICT solutions to better deliver services to citizens. In spite of this effort many statistics show that the mere availability of ICT based services does not guarantee per se their usage. Citizens have continued to largely access services through “traditional” means. In our study we suggest that the highlighted situation is partly due to the fact that relevant domain dependent requirements, mainly related to the delivery process of e-government digital services, are often ignored in the development of e-government solutions. We provide here a domain related quality framework and encoded it in a set of formal statements, so that we can apply automatic verification techniques to assess and improve ICT solutions adopted by public administrations. The paper discusses both the defined quality framework and the tool chain we developed to enable automatic assessment of ICT solutions. The tool chain is based on a denotational mapping of business process modeling notation elements into process algebraic descriptions and to the encoding of quality requirements in linear temporal logic formulas. The resulting approach has been applied to real case studies with encouraging results.
Mathematics Subject Classification: 68
Key words: Business process formal verification / business process quality assessment / domain dependent property checking / e-government quality framework
© EDP Sciences 2012
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.