Pregled bibliografske jedinice broj: 716936
Mining Competences of Expert Estimators
Mining Competences of Expert Estimators // Proceedings of the 23rd International Conference on Information Systems Development (ISD2014) / Vjeran Strahonja, Neven Vrček, Dijana Plantak Vukovac, Chris Barry, Michael Lang, Henry Linger, Christoph Schneider (ur.).
Varaždin, Hrvatska, 2014. str. 14-22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 716936 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Mining Competences of Expert Estimators
Autori
Karna, Hrvoje ; Gotovac, Sven
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 23rd International Conference on Information Systems Development (ISD2014)
/ Vjeran Strahonja, Neven Vrček, Dijana Plantak Vukovac, Chris Barry, Michael Lang, Henry Linger, Christoph Schneider - , 2014, 14-22
ISBN
978-953-6071-43-2
Skup
The 23rd International Conference on Information Systems Development (ISD2014)
Mjesto i datum
Varaždin, Hrvatska, 02.09.2014. - 04.09.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
effort estimation ; competences ; data mining ; neural networks ; decision trees
Sažetak
This paper reports on a study conducted with intention to identify competences of employees engaged on software development projects that are responsible for reliable effort estimation. Execution of assigned project tasks engages different human characteristics and effort estimation is integral part of development process. Competences are defined as knowledge, skills and abilities required to perform job assignments. As input data we used company internal classification and collection of employee competences together with data sets of task effort estimates from ten projects executed in a department of the company specialized for development of IT solutions in telecom domain. Techniques used for modeling are proven data mining methods, the neural network and decision tree algorithms. Results provided mapping of competences to effort estimates and represent valuable knowledge discovery that can be used in practice for selection and evaluation of expert effort estimators.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo