Hybrid Genetic-Environmental Adaptation Algorithm to Improve Parameters of COCOMO for Software Cost Estimation

The software cost estimation (SCE) problem is one of the major challenges in software engineering. Inaccurate cost and time estimation in a software project may lead to devastating damage to software companies. To deal with this issue, software researchers have made significant efforts during recent...

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Veröffentlicht in:	2022 Second International Conference on Distributed Computing and High Performance Computing (DCHPC) S. 82 - 85
Hauptverfasser:	Gandomani, Taghi Javdani, Dashti, Maedeh, Nafchi, Mina Zaiei
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 02.03.2022
Schlagworte:	Adaptation models Computational modeling Constructive Cost Model (COCOMO) Costs environment adaptation (EA) algorithm Estimation genetic algorithm (GA) Predictive models Software Software algorithms software cost estimation (SCE)
Online-Zugang:	Volltext
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