The complete guide to software testing
The complete guide to software testing
Guide to the Software Engineering Body of Knowledge - SWEBOK
Guide to the Software Engineering Body of Knowledge - SWEBOK
Software Development Effort Estimation Using Fuzzy Logic: A Case Study
ENC '05 Proceedings of the Sixth Mexican International Conference on Computer Science
Using Tabu Search to Estimate Software Development Effort
IWSM '09 /Mensura '09 Proceedings of the International Conferences on Software Process and Product Measurement
Software Engineering
Nature-Inspired Metaheuristic Algorithms: Second Edition
Nature-Inspired Metaheuristic Algorithms: Second Edition
Software quality evaluation and forecast based on unascertained-SVR model
International Journal of Wireless and Mobile Computing
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
An empirical study of test effort estimation based on bat algorithm
International Journal of Bio-Inspired Computation
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Test effort estimation is the process of predicting effort for testing the software. It has always been a fascinating area for software engineering researchers. "How long will it take to test the system?" is the most promising question in minds of testers before the testing process actually starts. Many factors such as the productivity of the test team, strategy chosen for testing, the size and complexity of the system, technical factors, and expected quality can affect test effort estimation. Testing requires a good amount of time and effort in the entire software development life cycle. Several researches have attempted to develop test effort estimation models but still it is not possible to achieve accurate forecasting. A new model based on a metaheuristic technique called, cuckoo search, for estimating the test effort is proposed in this paper. The proposed model is used to assign weights to the various factors involved based on past results, and, is then used for predicting the test effort for new projects of similar kind.