Intelligent Water Drops (IWD) Algorithm for COQUAMO Optimization
Software quality estimation is one of essential aspects in software projects. Accurate quality estimates are necessary for goodly developing software systems. Many estimation methods have been proposed. Among those methods, COQUAMO, the model used to estimate the quality of the software project in defects/KSLOC (or some other unit of size). Now-a-days, estimation models are based on neural network, the fuzzy logic modeling etc. for accurately estimate software development effort, time and quality. As, neural networks design have not clear guidelines and fuzzy logic approach usage is more difficult, a meta-heuristic Intelligent Water Drops (IWDs) algorithm can offer some improvements in accuracy for software quality estimation.