Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 764682

Evaluating Expert Estimators Based on Elicited Competences


Karna, Hrvoje; Gotovac, Sven
Evaluating Expert Estimators Based on Elicited Competences // Journal of information and organizational sciences, 39 (2015), 1; 49-63 doi:/10.31341/jios (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 764682 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Evaluating Expert Estimators Based on Elicited Competences

Autori
Karna, Hrvoje ; Gotovac, Sven

Izvornik
Journal of information and organizational sciences (1846-3312) 39 (2015), 1; 49-63

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
expert effort estimation ; competences ; elicitation ; data mining ; evaluation method

Sažetak
Utilization of expert effort estimation approach shows promising results when it is applied to software development process. It is based on judgment and decision making process and due to comparative advantages extensively used especially in situations when classic models cannot be accounted for. This becomes even more accentuated in today’s highly dynamical project environment. Confronted with these facts companies are placing ever greater focus on their employees, specifically on their competences. Competences are defined as knowledge, skills and abilities required to perform job assignments. During effort estimation process different underlying expert competences influence the outcome i.e. judgments they express. Special problem here is the elicitation, from an input collection, of those competences that are responsible for accurate estimates. Based on these findings different measures can be taken to enhance estimation process. The approach used in study presented in this paper was targeted at elicitation of expert estimator competences responsible for production of accurate estimates. Based on individual competences scores resulting from performed modeling experts were ranked using weighted scoring method and their performance evaluated. Results confirm that experts with higher scores in competences identified by applied models in general exhibit higher accuracy during estimation process. For the purpose of modeling data mining methods were used, specifically the multilayer perceptron neural network and the classification and regression decision tree algorithms. Among other, applied methods are suitable for the purpose of elicitation as in a sense they mimic the ways human brains operate. Data used in the study was collected from real projects in the company specialized for development of IT solutions in telecom domain. The proposed model, applied methodology for elicitation of expert competences and obtained results give evidence that in future such a model can be used in practice to reduce estimation error and enhance expert effort estimation.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Profili:

Avatar Url Sven Gotovac (autor)

Avatar Url Hrvoje Karna (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Karna, Hrvoje; Gotovac, Sven
Evaluating Expert Estimators Based on Elicited Competences // Journal of information and organizational sciences, 39 (2015), 1; 49-63 doi:/10.31341/jios (međunarodna recenzija, članak, znanstveni)
Karna, H. & Gotovac, S. (2015) Evaluating Expert Estimators Based on Elicited Competences. Journal of information and organizational sciences, 39 (1), 49-63 doi:/10.31341/jios.
@article{article, author = {Karna, Hrvoje and Gotovac, Sven}, year = {2015}, pages = {49-63}, DOI = {/10.31341/jios}, keywords = {expert effort estimation, competences, elicitation, data mining, evaluation method}, journal = {Journal of information and organizational sciences}, doi = {/10.31341/jios}, volume = {39}, number = {1}, issn = {1846-3312}, title = {Evaluating Expert Estimators Based on Elicited Competences}, keyword = {expert effort estimation, competences, elicitation, data mining, evaluation method} }
@article{article, author = {Karna, Hrvoje and Gotovac, Sven}, year = {2015}, pages = {49-63}, DOI = {/10.31341/jios}, keywords = {expert effort estimation, competences, elicitation, data mining, evaluation method}, journal = {Journal of information and organizational sciences}, doi = {/10.31341/jios}, volume = {39}, number = {1}, issn = {1846-3312}, title = {Evaluating Expert Estimators Based on Elicited Competences}, keyword = {expert effort estimation, competences, elicitation, data mining, evaluation method} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • Scopus


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font