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The P vs. NP problem. Divide-and-conquer algorithms. Randomized algorithms. Greedy algorithms. Dynamic programming. Linear programming and reductions. Approximation algorithms. Context model for software measurement. Productivity model, estimation model, quality model, benchmarking, outsourcing, balance score card, implementation of a measurement program, testing measures.
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