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Software testing is a vital and complex part of the software development life cycle. Optimization of software testing is still a major challenge, as prioritization of test cases remains unsatisfactory in terms of Average Percentage of Faults Detected (APFD) and time execution performance. This is attributed to a large search space to find an optimal ordering of test cases. In this paper, we have proposed an approach to prioritize test cases optimally using Firefly Algorithm. To optimize the ordering of test cases, we applied Firefly Algorithm with fitness function defined using a similarity distance model. Experiments were carried on three benchmark programs with test suites extracted from Software-artifact Infrastructure Repository (SIR). Our Test Case Prioritization (TCP) technique using Firefly Algorithm with similarity distance model demonstrated better if not equal in terms of APFD and time execution performance compared to existing works. Overall APFD results indicate that Firefly Algorithm is a promising competitor in TCP applications.

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Analogy-Based Estimation (ABE) is one of the promising estimation models used for predicting the software development effort. Researchers proposed different variants of the ABE model, but still, the most suitable procedure could not be produced for accurate estimation. In this study, an artificial Bee colony guided Analogy-Based Estimation (BABE) model is proposed which ensembles Artificial Bee Colony (ABC) with ABE for accurate estimation. ABC produces different weights, out of which the most appropriate is infused in the similarity function of ABE during the stage of model training, which are later used in the testing stage for evaluation. There are six real datasets utilized for simulating the model procedure. Five of these datasets are taken from the PROMISE repository. The predictive performance is improved for BABE over the existing ones. The most significant of its performance is found on the International Software Benchmarking Standards Group (ISBSG) dataset. INDEX TERMS Analogy based estimation, cost estimation, artificial bee colony, software development, project management.

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