Abstract
Effective management of software projects depends on ability to make accurate time-predictions. Nowadays, software companies need to deliver their solutions in expected time and budget. There are many factors influencing duration and cost of software projects. This paper provides innovative approach for estimations in early phase of software development. It shows usage of standard methods and its combination with soft computing technique called classification that is used for time-estimation of requirements using two-layer feed-forward neural network, which classifies requirements into time-groups.
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Acknowledgements
Work is partially supported by Grant of SP2016/100 - Knowledge modeling and its applications in software engineering II, VŠB - Technical University of Ostrava.
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Štrba, R., Vondrák, I., Ježek, D., Štolfa, S. (2018). Method for Estimation of Software Requirements Using Neural Network Based Classification Technique. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_10
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