Naslov
Application of Data Mining Methods for Effort Estimation of Software Projects

Autori
Karna, Hrvoje ; Vicković, Linda ; Gotovac, Sven

Izvornik
Software, practice & experience (0038-0644) 49 (2018), 2; 171-191

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

Ključne riječi
clustering ; data mining ; decision-making ; effort estimation ; software development process ; software engineering

Sažetak
Information technology companies currently use data mining techniques in different areas with the goal of increasing the quality of decision‐ making and to improve their business performance. The study described in this paper uses a data mining approach to produce an effort estimation of a software development process. It is based on data collected in a Croatian information technology company. The study examined 27 software projects with a total effort exceeding 42 000 work hours. The presented model employs a modified Cross‐ Industry Standard Process for Data Mining, where prior to model creation, additional clustering of projects is performed. The results generated by the proposed approach generally had a smaller effort estimation error than the results of human experts. The applied approach has proved that sound results can be gained through the use of data mining within the studied area. As a result, it would be wise to use such estimates as additional input in the decision‐making process.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti

POVEZANOST RADA