Now showing items 1-10 of 20
Virtual reality based rehabilitation system for Parkinson and multiple sclerosis patients
(IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
The aim of this study is to present a virtual reality based rehabilitation system for Parkinson and Multiple Sclerosis (MS) patients. In this study, physical rehabilitation software has been developed using Virtual Reality ...
Special issue: soft computing in software engineering preface
(Elsevier Science Bv, Po Box 211, 1000 AE Amsterdam, Netherlands, 2016-12)
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 ...
A sentiment classification model based on multiple classifiers
(Elsevier Science Bv, Po Box 211, 1000 AE Amsterdam, Netherlands, 2017-01)
With the widespread usage of social networks, forums and blogs, customer reviews emerged as a critical factor for the customers' purchase decisions. Since the beginning of 2000s, researchers started to focus on these reviews ...
Automatic energy expenditure measurement for health science
(Elsevier Ireland Ltd, Elsevier House, Brookvale Plaza, East Park Shannon, Co, Clare, 00000, Ireland, 2018-04)
Background and objective: It is crucial to predict the human energy expenditure in any sports activity and health science application accurately to investigate the impact of the activity. However, measurement of the real ...
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 ...
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 ...
On the effectiveness of virtual reality in the education of software engineering
(Wiley, 111 River St, Hoboken 07030-5774, NJ USA, 2018-07)
The popularity of virtual reality headsets have been rapidly increasing. With this technology, students can efficiently interact with the course content and learn the material faster than the traditional methodologies. In ...
The Ten Best Practices for Test Case Prioritization
(Springer-Verlag Berlin, Heidelberger Platz 3, D-14197 Berlin, Germany, 2012)
In this study, test case prioritization approaches that are used to execute the regression testing in a cost-effective manner were investigated. We discussed the critical issues and best practices that a software company ...
Automatic Software Categorization Using Ensemble Methods and Bytecode Analysis
(World Scientific Publ Co Pte Ltd, 5 Toh Tuck Link, Singapore 596224, Singapore, 2017-09)
Software repositories consist of thousands of applications and the manual categorization of these applications into domain categories is very expensive and time-consuming. In this study, we investigate the use of an ensemble ...