By Björn E. Nilsson (auth.), Anne Persson, Janis Stirna (eds.)
th CAiSE 2004 used to be the sixteen within the sequence of foreign meetings on complicated details platforms Engineering. within the 12 months 2004 the convention was once hosted via the school of computing device technology and data know-how, Riga Technical college, Latvia. because the overdue Eighties, the CAiSE meetings have supplied a discussion board for the presentation and trade of analysis effects and functional studies in the ?eld of data platforms Engineering. The convention subject of CAiSE 2004 was once wisdom and version pushed info platforms Engineering for Networked corporations. glossy companies and IT structures are dealing with an ever extra complicated en- ronment characterised via openness, kind, and alter. businesses are - coming much less self-su?cient and more and more depending on company companions and different actors. those traits demand openness of industrial in addition to IT platforms, i.e. the facility to attach and interoperate with different structures. additionally, corporations are experiencing ever extra type of their enterprise, in all c- ceivable dimensions. The di?erent potential required via the group are multiplying. within the comparable approach, the range in know-how is overwhelming with a large number of languages, structures, units, criteria, and items. additionally, companies have to deal with an atmosphere that's always altering and the place lead occasions, product lifestyles cycles, and associate relationships are shortening. ThedemandofhavingtoconstantlyadaptITtochangingtechnologiesandbu- ness practices has led to the delivery of latest principles that could have a profound effect at the details structures engineering practices in years to come, resembling autonomic computing, part and companies marketplaces and dynamically generated software.
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Additional info for Advanced Information Systems Engineering: 16th International Conference, CAiSE 2004, Riga, Latvia, June 7-11, 2004. Proceedings
Problem Solving Methods in Artificial Intelligence. McGraw Hill, 1971. 11. C. Rolland. Reasoning with Goals to Engineer Requirements. In Proceedings 5th International Conference on Enterprise Information Systems, 2003. 12. A. v. Lamsweerde. Requirements engineering in the year 00: A research perspective. In Proceedings 22nd International Conference on Software Engineering, Invited Paper, ACM Press, 2000. 13. Lintao Zhang and Sharad Malik. The quest for efficient boolean satisfiability solvers. In Proc.
The input formula must be previously reduced in conjunctive normal form (CNF)1. At each step, if there exists a unit clause, DPLL assigns it to true; otherwise, it chooses a literal and it tries to find an assignment with set to true; if it doesn’t success, it tries with set to false. In this way, DPLL performs the deterministic choices first while postponing, as far as possible the branching step, which is the main source of exponential blow up. , backjumping, learning, random restart (again, see  for an overview).
Goal graph that satisfies/denies all root goals. Assuming that the satisfaction/deniability of every leaf goal may require some unit cost, we have also addressed the problem of finding a minimum cost label assignment to leaf goals that satisfies/denies all root goals of a goal graph. Both problems are solved by reducing them to the satisfiability (SAT) and minimum-cost satisfiability (minimum-cost SAT) problems for Boolean formulas. The rest of the paper is structured as follows. Section 2 introduces the formal framework of , including a definition of goal graphs and the axiomatization proposed for qualitative goal models.