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Article Citation - WoS: 11Citation - Scopus: 13Exploring and Expanding Students' Success in Software Testing(Emerald Group Publishing Ltd, 2017) Mishra, Deepti; Ostrovska, Sofiya; Hacaloglu, TunaPurpose - Testing is one of the indispensable activities in software development and is being adopted as an independent course by software engineering (SE) departments at universities worldwide. The purpose of this paper is to carry out an investigation of the performance of learners about testing, given the tendencies in the industry and motivation caused by the unavailability of similar studies in software testing field. Design/methodology/approach - This study is based on the data collected over three years (between 2012 and 2014) from students taking the software testing course. The course is included in the second year of undergraduate curriculum for the bachelor of engineering (SE). Findings - It has been observed that, from the performance perspective, automated testing outperforms structural and functional testing techniques, and that a strong correlation exists among these three approaches. Moreover, a strong programming background does help toward further success in structural and automated testing, but has no effect on functional testing. The results of different teaching styles within the course are also presented together with an analysis exploring the relationship between students' gender and success in the software testing course, revealing that there is no difference in terms of performance between male and female students in the course. Moreover, it is advisable to introduce teaching concepts one at a time because students find it difficult to grasp the ideas otherwise. Research limitations/implications - These findings are based on the analysis conducted using three years of data collected while teaching a course in testing. Obviously, there are some limitations to this study. For example, student's strength in programming is calculated using the score of C programming courses taken in previous year/semester. Such scores may not reflect their current level of programming knowledge. Furthermore, attempt was made to ensure that the exercises given for different testing techniques have similar difficulty level to guarantee that the difference in success between these testing techniques is due to the inherent complexity of the technique itself and not because of different exercises. Still, there is small probability that a certain degree of change in success may be due to the difference in the difficulty levels of the exercises. As such, it is obviously premature to consider the present results as final since there is a lack of similar type of studies, with which the authors can compare the results. Therefore, more work needs to be done in different settings to draw sound conclusions in this respect. Originality/value - Although there are few studies (see e.g. Chan et al., 2005; Garousi and Zhi, 2013; Ng et al., 2004) exploring the preference of testers over distinct software testing techniques in the industry, there appears to be no paper comparing the preferences and performances of learners in terms of different testing techniques.Conference Object Citation - WoS: 9Analysis of Innovation-Based Human Resources for Sustainable Development(Elsevier Science Bv, 2015) Bircan, Ismail; Gencler, FundaThe spread of innovation-based human resources will accelerate by the emergence of new business areas, knowledge, skills, and expansion of high value-added production. A research, analyzing a survey of the world's largest 500 companies indicates that 80 % of the value of a company was to create tangible assets 40 years ago whereas, today, large companies constitute 80 % of their values to property rights and high-quality of human resources. The analysis made by the OECD for countries such as USA, France, Denmark, Germany and other OECD members indicates that a relationship has been found between human resources that has grown in the field of science-technology and the development in technology and innovation. On the other hand, technical innovation has been emphasized as an important factor in human resources management. The number of studies conducted in the subjects of technological and overall innovation, human resources management and entrepreneurship has increased in recent years. In this study, innovation-based human resources analysis employed by Western and Far East Asian countries will be analysed through content analysis and the subject will be evaluated in terms of Turkey. In this study, the linear relationship between sustainable development and innovation-based human resources will be investigated. Through multiple analysis methods, innovation-based human resources analysis will be handled especially in developing countries. Training of human resources in this context will be an important opportunity for future as in the example of Japan and South Korea. This research represents a significant analysis of data carefully studied through OECD and other international resources. (C) 2015 The Authors. Published by Elsevier Ltd.Article Citation - WoS: 16Citation - Scopus: 15Gender effects of education on economic development in Turkey(Emerald Group Publishing Ltd, 2013) Tansel, Aysit; Gungor, NilPurpose - This study is concerned with the separate output effects of female and male education, as well as output effects of the educational gender gap. Several recent empirical studies have examined the gender effects of education on economic growth or on output level using the much exploited, familiar cross-country data. This paper aims to undertake a similar study of the gender effects of education on economic growth using a panel data across the provinces of Turkey for the period 1975-2000. Design/methodology/approach - The theoretical basis of the estimating equations is the neoclassical growth model augmented to include separate female and male education capital and health capital variables. The methodology the authors use includes robust regression on pooled panel data controlling for regional and time effects. The results are found to be robust to a number of sensitivity analyses, such as elimination of outlier observations, controls for simultaneity and measurement errors, controls for omitted variables by including regional dummy variables, steady-state versus growth equations and different samples of developed and less-developed provinces of Turkey. Findings - The main findings indicate that female education positively and significantly affects the steady-state level of labor productivity, while the effect of male education is in general either positive or insignificant. Separate examination of the effect of educational gender gap was to reduce output. Originality/value - As evident in the literature, there is controversy surrounding the gender effects of education on growth. This paper provides new evidence on this issue from the perspective of a single country rather than a cross-country viewpoint.Book Part Citation - Scopus: 3Gender Effects of Education on Economic Development in Turkey(World Scientific Publishing Co., 2016) Tansel,A.; Gungor,N.D.Several empirical studies have examined the genderdifferentiated effects of education on economic growth or on a steadystate level of economic output, using cross-country data to determine the quantitative importance of these effects and the direction of correlation. This chapter reports on a similar study of the gender effects of education using province-level data for Turkey. It finds that female education positively and significantly affects the steady-state level of labor productivity, while male education has either positive or insignificant effects. A separate examination of the effect of the educational gender gap finds a negative relationship with output. The results are robust to a number of sensitivity analyses, such as elimination of outlier observations, controls for simultaneity and measurement errors, controls for omitted variables through the inclusion of regional dummy variables, the use of steady-state versus growth equations, and the consideration of different samples. © 2016 by Imperial College Press.
