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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
(2019-03)
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 ...
Development of a software vulnerability prediction web service based on artificial neural networks
(2017)
Detecting vulnerable components of a web application is an important activity to allocate verification resources effectively. Most of the studies proposed several vulnerability prediction models based on private and public ...
Neuro-fuzzy modeling for multi-objective test suite optimization
(Walter De Gruyter Gmbh, Genthiner Strasse 13, D-10785 Berlin, Germany, 2016-04)
Regression testing is a type of testing activity, which ensures that source code changes do not affect the unmodified portions of the software adversely. This testing activity may be very expensive in, some cases, due to ...
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 ...
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 ...
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 ...
Evaluation of augmented reality technology for the design of an evacuation training game
(SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND, 2019-11)
Building evacuation training systems and training employees in an organization have a vital role in emergency cases in which people need to know what to do exactly. In every building, procedures, rules, and actions are ...
A Systematic Mapping Study on Architectural Analysis
(IEEE Computer Soc, 10662 Los Vaqueros Circle, Po Box 3014, Los Alamitos, Ca 90720-1264 Usa, 2013)
We conduct a Systematic Mapping Study to categorize the primary research papers in architectural analysis. Systematic mapping studies can change the research perspective in an area and they can help to find the ignored ...
Test Case Prioritization: a Systematic Mapping Study
(Springer, Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands, 2013-09)
Test case prioritization techniques, which are used to improve the cost-effectiveness of regression testing, order test cases in such a way that those cases that are expected to outperform others in detecting software ...