Abstract
Predicting statically the running time of programs has many applications ranging from task scheduling in parallel execution to proving the ability of a program to meet strict time constraints. A starting point in order to attack this problem is to infer the computational complexity of such programs (or fragments thereof). This is one of the reasons why the development of static analysis techniques for inferring cost-related properties of programs (usually upper and/or lower bounds of actual costs) has received considerable attention.
This work was partly funded by the EU IST FET program, IST-15905 MOBIUS project, by the Spanish Ministry of Education under the TIN-2005-09207 MERIT project, and the Madrid Regional Government under the PROMESAS project. Manuel Hermenegildo is also supported by the Prince of Asturias Chair in Information Science and Technology at UNM.
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Mera, E., López-García, P., Puebla, G., Carro, M., Hermenegildo, M.: Towards Combining Static Analysis and Profiling for Estimating Execution Times in Logic Programs. Technical Report CLIP5/2006.0, Technical University of Madrid (UPM), School of Computer Science, UPM (April 2006)
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Mera, E., López-García, P., Puebla, G., Carro, M., Hermenegildo, M. (2006). Using Combined Static Analysis and Profiling for Logic Program Execution Time Estimation. In: Etalle, S., Truszczyński, M. (eds) Logic Programming. ICLP 2006. Lecture Notes in Computer Science, vol 4079. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11799573_36
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DOI: https://doi.org/10.1007/11799573_36
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