Naslov
Fault Prediction using Early Lifecycle Data

Autori
Jiang, Yue ; Cukic, Bojan ; Menzies, Tim

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 18th IEEE International Symposium on Software Reliability 2007 / Kanoun, Karama ; Winther, Rune ; Torkar, Richard - Los Alamitos (CA) : Washington D.C. : Tokyo : Institute of Electrical and Electronics Engineers (IEEE), 2007, 237-246

Skup
18th IEEE International Symposium on Software Reliability 2007

Mjesto i datum
Trollhättan, Švedska, 05.11.2007. - 09.11.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
nema; nema
(none; none)

Sažetak
The prediction of fault-prone modules in a software project has been the topic of many studies. In this paper, we investigate whether metrics available early in the development lifecycle can be used to identify fault-prone software modules. More precisely, we build predictive models using the metrics that characterize textual requirements. We compare the performance of requirements-based models against the performance of code-based models and models that combine requirement and code metrics. Using a range of modeling techniques and the data from three NASA projects, our study indicates that the early lifecycle metrics can play an important role in project management, either by pointing to the need for increased quality monitoring during the development or by using the models to assign verification and validation activities.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA