Advances in Services Computing: 9th Asia-Pacific Services by Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert

By Lina Yao, Xia Xie, Qingchen Zhang, Laurence T. Yang, Albert Y. Zomaya, Hai Jin

This publication constitutes the refereed complaints of the ninth Asia-Pacific prone Computing convention, APSCC 2015, held in Bangkok, Thailand, in December 2015.

The 17 revised complete papers and six brief papers offered have been conscientiously reviewed and chosen from a number of submissions. The papers hide a variety of themes in prone computing, net providers, cloud computing, defense in prone, and social, peer-to-peer, cellular, ubiquitous and pervasive computing.

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Additional resources for Advances in Services Computing: 9th Asia-Pacific Services Computing Conference, APSCC 2015, Bangkok, Thailand, December 7-9, 2015, Proceedings

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13. : An SE-tree-based prime implicant generation algorithm. Ann. Math. Artif. Intell. 11, 351–365 (1994) 14. : Model-based verification of web service compositions. In: Proceedings of the 18th IEEE International Conference on Automated Software Engineering, 6–10 October 2003, pp. 152–161 (2003). doi:10. 1240303 15. : A novel approach to generate the property for web service verification from threat-driven model. Appl. Math. 8(2), 657–664 (2014) 16. : Logic Synthesis and Verification Algorithms. Kluwer Academic Publishers, Dordrecht (2000).

P¯. Since ∂Φ/∂p = 1, ¯p¯. Φp¯ = p ⊕ Φp¯. Φp¯ is independent of p. The positive minimal Φp = Φ support set of Φ = positive minimal support set of Φp¯ ∪ {(p, 0)}, since positive minimal support set of Φp¯ makes it 1 and if we substitute p by 0 then we get 0 and XOR of 0 and 1 is 1. As a result we get the positive minimal support set of Φ. Similarly positive minimal support set of Φ = negative minimal support set of Φp¯ ∪ {(p, 1)}. On the other hand, negative minimal support set of Φ = positive minimal support set of Φp¯ ∪ {(p, 1)}, or negative minimal support set of Φp¯ ∪ {(p, 0)}.

As it can be seen, the CUDD implementation fails to generate all minimal support sets in many of the cases. 5 Conclusion and Future Work In this paper, we address the problem of business rule verification and query execution, with rules expressed in extended Boolean logic. We discuss how we can expedite the run time execution using a look-up table and finally we present an innovative approach for simultaneously computing the exhaustive set of positive and negative test scenarios using a one-pass method, with the help of a novel data structure.

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