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Universit degli Studi dellAquila Universit degli Studi dellAquila Marco Autili, Vittorio Cortellessa, Davide Di Ruscio, Paola Inverardi, Patrizio Pelliccione , Massimo Tivoli Software Engineering and Architecture Group Computer Science


  1. Università degli Studi dell’Aquila Università degli Studi dell’Aquila Marco Autili, Vittorio Cortellessa, Davide Di Ruscio, Paola Inverardi, Patrizio Pelliccione , Massimo Tivoli Software Engineering and Architecture Group Computer Science Department, University of L’Aquila, Italy March 20, 2012 - Monterey Workshop

  2. 2 Users produce their own piece of software, Users by mainly reusing existing software with a role goal oriented and opportunistic use in mind The focus of software production shifts from Integrator domain specific software applications to synthesis software integrator systems Software has to be able to evolve, react and adapt to a continuously changing Evolution environment, while guaranteeing dependability We refer to the general notion of dependability, as defined by IFIP Working Group 10.4: “the trustworthiness of a computing system which allows reliance to be justifiably placed on the service it delivers”.

  3. 3 Creationistic view Experimental view • A producer is the • The knowledge of a owner of the artifact, software artifact is and with the right limited to what can be tools she can supply observed of it any piece of • Theoretical barrier information limits the power and extent of observations

  4. 4 Galbraith’s definition of uncertainty, it In the EAGLE context uncertainty corresponds to a measure, in a given metric system, of the incompleteness and inaccuracy of the models with respect to the goal G, which is due to

  5. 5 M. Autili, V. Cortellessa, D. Di Ruscio, P. Inverardi, P. Pelliccione, and M. Tivoli. Eagle: engineering software in the ubiquitous globe by leveraging uncertainty. In Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering, ESEC/FSE ’11, pages 488 – 491, New York, NY, USA, 2011. ACM.

  6. 6 • Exploration of available software and makes explicit the degree of uncertainty associated with it in relation to an Explore opportunistic goal G • Assistance of the producer in creating the appropriate integration means towards G Integrate • Validation of the integrated system to assess its quality with respect to G and the current context Validate

  7. 7 The integration solution compensates the lack of knowledge of the composed software by adding integration logic

  8. 8 • Existing services are discovered out of a goal-oriented choreography specification as suitable participants • Coordination of the interaction behavior of the participant services in order to fulfill the specified choreography • Research in this domain does not explicitly account for neither uncertainty about the behavioral suitability of the discovered services nor the uncertainty of the context changes

  9. 9 • While attending a conference in London, Patrizio was notified by the airline company, through SMS, that his flight back to Rome was cancelled • Flights across Europe were cancelled due to the ash cloud • Patrizio shared the situation with tens of thousands of people: uncertainty and chaos were the only certainties • This situation lasted for six days and people were forced to self-organize their travel back home

  10. 10 Patrizio through phones, stuttered internet connection and social chatting organized an expensive, non-optimal, and 30 hours long multimodal travel which included buses, trains, ships, and rented car

  11. 11 • EAGLE (specialized for transportation) would have supported Patrizio in producing a software system oriented to organize and support his travel

  12. 12

  13. 13 The goal G is a combination of a functional and a non- functional properties, that are respectively: (i) to achieve a successful interaction among EcommerceWS and a client of it, i.e., the client always progresses on buying items, (ii) to achieve a certain level of reliability of the whole system, where this attribute is given by the combination of the client and the web service reliabilities.

  14. 14 • We consider a version of the StrawBerry tool that, for the EAGLE purposes, is enhanced in order to deal with the uncertainty degree of the elicited models • The StrawBerry method automatic discovers the behavior protocol of a WS • StrawBerry derives from the WSDL a partial ordering relation among the possible invocations to the WSDL operations • BPA models the interaction protocol that a client has to abide by to correctly interact with the WS

  15. 15 Antonia Bertolino, Paola Inverardi, Patrizio Pelliccione, and Massimo Tivoli. 2009. Automatic synthesis of behavior protocols for composable web-services. In Proceedings of ESEC/FSE '09. ACM, New York, NY, USA, 141-150.

  16. E-commerce web service: Explore step

  17. E-commerce web service: Integrate step

  18. E-commerce web service: Validation step

  19. 19

  20. Università degli Studi dell’Aquila Università degli Studi dell’Aquila Questions ? Marco Autili, Vittorio Cortellessa, Davide Di Ruscio, Paola Inverardi, Patrizio Pelliccione , Massimo Tivoli Software Engineering and Architecture Group Computer Science Department, University of L’Aquila, Italy March 20, 2012 - Monterey Workshop

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