Pregled bibliografske jedinice broj: 776370
Estimating Software Development Effort Using Bayesian Networks
Estimating Software Development Effort Using Bayesian Networks // Proceedings of the 23nd Conference on Software, Telecommunications and Computer Networks (SoftCOM 2015) / Rožić, Nikola ; Begušić, Dinko (ur.).
Bol, Hrvatska, 2015. str. 229-233 doi:10.1109/SOFTCOM.2015.7314091 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Estimating Software Development Effort Using
Bayesian Networks
Autori
Karna, Hrvoje ; Gotovac, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 23nd Conference on Software, Telecommunications and Computer Networks (SoftCOM 2015)
/ Rožić, Nikola ; Begušić, Dinko - , 2015, 229-233
ISBN
978-9-5329-0056-9
Skup
The 23nd Conference on Software, Telecommunications and Computer Networks (SoftCOM 2015)
Mjesto i datum
Bol, Hrvatska, 16.09.2015. - 18.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
bayesian networks ; effort estimation ; data mining ; knowledge discovery ; project management ; software engineering
Sažetak
Software development effort estimation is fundamental part of software project management. It is the process used to predict the most probable effort required to perform specific work. Based on forecasted effort it is possible to determine costs and allocate required resources. The effort estimation inherently includes various factors and therefore the process of decision making and producing the predictions regarding required efforts is in its nature a process of reasoning with uncertainty. To enhance this process software engineers are using various approaches, application of data mining and knowledge discovery techniques proved to be especially effective. This paper reports a study in which Bayesian networks (BN) are used to improve software development effort estimation. Study examines tree major entities involved in estimation process – projects, work items and estimators. The analysis is based on real data collected from software projects executed in Croatian software company. Study found that Bayesian networks are especially suitable for modeling of effort estimation and can significantly contribute to management of software projects.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
