Now showing items 1-6 of 6
A fault detection strategy for software projects
(Univ Osijek, Tech Fac, Trg ivane Brlic-Mazuranic 2, Slavonski Brod, Hr-35000, Croatia, 2013-02)
Abstract The existing software fault prediction models require metrics and fault data belonging to previous software versions or similar software projects. However, there are cases when previous fault data are not present, ...
Improvement of demand forecasting models with special days
(Elsevier Science Bv, Sara Burgerhartstraat 25, Po Box 211, 1000 AE Amsterdam, Netherlands, 2015)
Forecasting ATM cash demands is a challenging research task. When the forecasting results are too high compared to the real demand, this will cause excessive cash at bank's ATMs and the cost of lost interest. On the other ...
The use of cross-company fault data for the software fault prediction problem
(TUBİTAK Scientific & Technical Research Council Turkey, Ataturk Bulvarı No 221, Kavaklıdere, Ankara, 00000, Turkey, 2016)
We investigated how to use cross-company (CC) data in software fault prediction and in predicting the fault labels of software modules when there are not enough fault data. This paper involves case studies of NASA projects ...
A cloud-based recommendation service using principle component analysis–scale-invariant feature transform algorithm
Cloud computing delivers resources such as software, data, storage and servers over the Internet; its adaptable infrastructure facilitates on-demand access of computational resources. There are many benefits of ...
CAVE Sanal Gerçeklik Teknolojisinin Üniversite-Sanayi İşbirliği Açısından Değerlendirilmesi ve Örnek bir Durum ÇalışmasıThe Evaluation of CAVE Virtual Reality Technology for the University-Industry Collaboration and a Case Study
CAVE (CAVE Automatic Virtual Environment) sanal gerçeklik teknoloji altyapısı, yurt dışındaki üniversiteler ve araştırma kurumları tarafından, son dönemde farklı fonlarla kurulmaya başlanmış ancak Türkiye’de henüz bir ...
On the use of ensemble of classifiers for accelerometer-based activity recognition
(ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2015-12)
Activity recognition aims to detect the physical activities such as walking, sitting, and jogging performed by humans. With the widespread adoption and usage of mobile devices in daily life, several advanced applications ...