Browsing by Subject "Cost benefit analysis"

Now showing 1 - 6 of 6

Open Access
Analyzing impact of experience curve on ROI in the software product line adoption process
(Elsevier BV, 2015) Tüzün, E.; Tekinerdogan, B.
Context Experience curve is a well-known concept in management and education science, which explains the phenomenon of increased worker efficiency with repetitive production of a good or service. Objective We aim to analyze the impact of the experience curve effect on the Return on Investment (ROI) in the software product line engineering (SPLE) process. Method We first present the results of a systematic literature review (SLR) to explicitly depict the studies that have considered the impact of experience curve effect on software development in general. Subsequently, based on the results of the SLR, the experience curve effect models in the literature, and the SPLE cost models, we define an approach for extending the cost models with the experience curve effect. Finally, we discuss the application of the refined cost models in a real industrial context. Results The SLR resulted in 15 primary studies which confirm the impact of experience curve effect on software development in general but the experience curve effect in the adoption of SPLE got less attention. The analytical discussion of the cost models and the application of the refined SPLE cost models in the industrial context showed a clear impact of the experience curve effect on the time-to-market, cost of development and ROI in the SPLE adoption process. Conclusions The proposed analysis with the newly defined cost models for SPLE adoption provides a more precise analysis tool for the management, and as such helps to support a better decision making.
Open Access
Energy cost model for frequent item set discovery in unstructured P2P networks
(Springer, London, 2012) Cem, E.; Demirkaya, Ender; Esiner, E.; Ozaydin, B.; Ozkasap O.
For large scale distributed systems, designing energy efficient protocols and services has become as significant as considering conventional performance criteria like scalability, reliability, fault-tolerance and security. We consider frequent item set discovery problem in this context. Although it has attracted attention due to its extensive applicability in diverse areas, there is no prior work on energy cost model for such distributed protocols. In this paper, we develop an energy cost model for frequent item set discovery in unstructured P2P networks. To the best of our knowledge, this is the first study that proposes an energy cost model for a generic peer using gossip-based communication. As a case study protocol, we use our gossip-based approach ProFID for frequent item set discovery. After developing the energy cost model, we examine the effect of protocol parameters on energy consumption using our simulation model on PeerSim and compare push-pull method of ProFID with the well-known push-based gossiping approach. Based on the analysis results, we reformulate the upper bound for the peer's energy cost. © 2012 Springer-Verlag London Limited.
Open Access
A framework for enhancing depth perception in computer graphics
(ACM, 2010-07) Çipiloğlu, Zeynep; Bülbül, Abdullah; Çapin, Tolga
This paper introduces a solution for enhancing depth perception in a given 3D computer-generated scene. For this purpose, we propose a framework that decides on the suitable depth cues for a given scene and the rendering methods which provide these cues. First, the system calculates the importance of each depth cue using a fuzzy logic based algorithm which considers the target tasks in the application and the spatial layout of the scene. Then, a knapsack model is constructed to keep the balance between the rendering costs of the graphical methods that provide these cues and their contibution to depth perception. This cost-profit analysis step selects the proper rendering methods. In this work, we also present several objective and subjective experiments which show that our automated depth enhancement system is statistically (p < 0.05) better than the other method selection techniques that are tested. © 2010 ACM.
Open Access
Modified GDP through health cost analysis of air pollution: the case of Turkey
(1999) Zaim, K. K.
Economic growth and performance is monitored through the gross domestic product (GDP) of a nation. It has long been recognized that the traditionally computed GDP does not account for gains and losses observed due to the consumption of natural resources and environmental services. Hence, the objective of this study is to modify the Turkish GDP by taking social cost associated with air pollution into consideration. To this end health benefits and economic costs of air-quality improvement are estimated. The computations are based on the dose-response coefficients reported in several studies. The results indicate that a decrease in PM10 and SO2 levels to the WHO guideline would have resulted in a total of 48.309 x 1010 and 153.38 x 1010 Turkish lira savings in 1990 and 1993, respectively. These correspond to 0.12% and 0.08% of 1990 and 1993 GDPs, respectively.
Open Access
Projections onto the epigraph set of the filtered variation function based deconvolution algorithm
(IEEE, 2017) Tofighi, M.; Çetin, A. Enis
A new deconvolution algorithm based on orthogonal projections onto the hyperplanes and the epigraph set of a convex cost function is presented. In this algorithm, the convex sets corresponding to the cost function are defined by increasing the dimension of the minimization problem by one. The Filtered Variation (FV) function is used as the convex cost function in this algorithm. Since the FV cost function is a convex function in RN, then the corresponding epigraph set is also a convex set in the lifted set in RN+1. At each step of the iterative deconvolution algorithm, starting with an arbitrary initial estimate in RN+1, first the projections onto the hyperplanes are performed to obtain the first deconvolution estimate. Then an orthogonal projection is performed onto the epigraph set of the FV cost function, in order to regularize and denoise the deconvolution estimate, in a sequential manner. The algorithm converges to the deblurred image.
Open Access
The relationship between different price indices: evidence from Turkey
(Elsevier BV, 2006) Akdi, Y.; Berument, Hakan; Cilasun, S. M.
A possible relationship between the Consumer Price Index and the Wholesale Price Index has been analyzed for long and short-run relationships. Conventional Engle and Granger [Estimation Test Econ. 55(1987) 2251-276] and Johansen's [J. Econ. Dyn. Control 12 (1988) 231-254] cointegration tests give mixed evidence for a possible long-run relationship between those two series. The model-free and seasonally robust periodogram-based test fails to reject the null of no-cointegration relationship. However, these two series move together in the short run. © 2005 Elsevier B.V. All rights reserved.