By Bartosz Michalik, Jerzy Nawrocki (auth.), Tomasz Szmuc, Marcin Szpyrka, Jaroslav Zendulka (eds.)
This publication constitutes the completely refereed post-conference court cases of the 4th IFIP TC2 valuable and East eu convention on software program Engineering recommendations, CEE-SET 2009, held in Krakow, Poland, in October 2009. the nineteen revised complete papers provided have been conscientiously reviewed and chosen from sixty three submissions. The papers are equipped in topical sections on software program architectures and improvement; modelling and formal tools in software program improvement; measurements, checking out, and caliber of software.
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Additional info for Advances in Software Engineering Techniques: 4th IFIP TC 2 Central and East European Conference on Software Engineering Techniques, CEE-SET 2009, Krakow, Poland, October 12-14, 2009. Revised Selected Papers
Acronyms for results are: optimal plan found (O), suboptimal plan found (SO), computation failed (Error). These results show that our method is able to find solutions for practical integration problems using currently available planners. The majority of the planners had difficulties solving the most complex Problem 4. We suspect that some of them were not designed to work with such a large state-space as it was present in this problem. In our opinion, however, this is not a result of planning methods used, but more a result of implementation decisions made by the planners’ designers.
IEEE Computer Society (2003) Construction of Messaging-Based Enterprise Integration Solutions Using AI Planning 29 2. : Enterprise Service Bus. , Sebastopol (2004) 3. : STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. Artificial Intelligence 2, 189–208 (1971) 4. : Automated Test Case Generation from Dynamic Models. In: Hwang, J. ) ECOOP 2000. LNCS, vol. 1850, pp. 472–491. Springer, Heidelberg (2000) 5. : Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions.
The plan) is interpreted as a structure of services forming the integration solution. The situation is depicted in Fig. 3. Fig. 3. Basic principle of our method Integration problem encoding works as follows: Message flows that are present in the integration solution correspond to the planner’s states of the world. The state of the world changes as individual services (or other elements) of the solution process their incoming flow(s) and generate their outgoing one(s): an operator corresponding to such an element replaces predicate formula(s) corresponding to its input flow(s) in the state of the world by formula(s) corresponding to its output flow(s).