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Article Citation - WoS: 10Citation - Scopus: 18Evaluation Criteria for Object-Oriented Metrics(Budapest Tech, 2011) Misra, Sanjay; Computer EngineeringIn this paper an evaluation model for object-oriented (OO) metrics is proposed. We have evaluated the existing evaluation criteria for OO metrics, and based on the observations, a model is proposed which tries to cover most of the features for the evaluation of OO metrics. The model is validated by applying it to existing OO metrics. In contrast to the other existing criteria, the proposed model is simple in implementation and includes the practical and important aspects of evaluation; hence it suitable to evaluate and validate any OO complexity metric.Article Citation - WoS: 29Citation - Scopus: 43Software Product Quality Metrics: a Systematic Mapping Study(Ieee-inst Electrical Electronics Engineers inc, 2021) Colakoglu, Fatima Nur; Yazici, Ali; Mishra, AlokIn the current competitive world, producing quality products has become a prominent factor to succeed in business. In this respect, defining and following the software product quality metrics (SPQM) to detect the current quality situation and continuous improvement of systems have gained tremendous importance. Therefore, it is necessary to review the present studies in this area to allow for the analysis of the situation at hand, as well as to enable us to make predictions regarding the future research areas. The present research aims to analyze the active research areas and trends on this topic appearing in the literature during the last decade. A Systematic Mapping (SM) study was carried out on 70 articles and conference papers published between 2009 and 2019 on SPQM as indicated in their titles and abstract. The result is presented through graphics, explanations, and the mind mapping method. The outputs include the trend map between the years 2009 and 2019, knowledge about this area and measurement tools, issues determined to be open to development in this area, and conformity between conference papers, articles and internationally valid quality models. This study may serve as a foundation for future studies that aim to contribute to the development in this crucial field. Future SM studies might focus on this subject for measuring the quality of network performance and new technologies such as Artificial Intelligence (AI), Internet of things (IoT), Cloud of Things (CoT), Machine Learning, and Robotics.Article Citation - WoS: 1Citation - Scopus: 1Development of a Maternal Psychological Control Scale: a Study With Turkish University Students(Springer, 2023) Metin-Orta, Irem; Metin-Camgoz, SelinIn the last few decades, parental control has received significant attention from scholars. In particular, much work has been dedicated to understanding psychological control, which is parental control intruding on the child's emotional and psychological development. This study aimed to develop a maternal psychological control scale (MPCS) and to test its psychometric properties in a sample of Turkish university students. Data were collected from two separate samples comprising a total of 425 participants. Exploratory factor analysis (EFA) was employed in Study Sample 1(215) and confirmatory factor analysis (CFA) was conducted using Study Sample 2 (210) to verify the parental manipulation and disregard dimensions of the proposed scale. The findings revealed supportive evidence for two dimensions of the 18-item MPCS. The bivariate correlations revealed that the MPCS scores were moderately and positively correlated with loneliness scores, and those from an existing psychological control scale; however, they were negatively correlated with behavioral control and self-esteem scores. The MPCS developed in this study can be utilized by researchers, clinicians, and educators as an efficient instrument to assess emerging adults' perceived psychological control. Overall, this study contributes to practitioners and researchers in the way that perceived parental psychological control is assessed in a wide range of populations.Review Citation - WoS: 70Citation - Scopus: 111Devops and Software Quality: a Systematic Mapping(Elsevier, 2020) Mishra, Alok; Otaiwi, ZiadoonQuality pressure is one of the factors affecting processes for software development in its various stages. DevOps is one of the proposed solutions to such pressure. The primary focus of DevOps is to increase the deployment speed, frequency and quality. DevOps is a mixture of different developments and operations to its multitudinous ramifications in software development industries, DevOps have attracted the interest of many researchers. There are considerable literature surveys on this critical innovation in software development, yet, little attention has been given to DevOps impact on software quality. This research is aimed at analyzing the implications of DevOps features on software quality. DevOps can also be referred to a change in organization cultures aimed at removal of gaps between the development and operations of an organization. The adoption of DevOps in an organization provides many benefits including quality but also brings challenges to an organization. This study presents systematic mapping of the impact of DevOps on software quality. The results of this study provide a better understanding of DevOps on software quality for both professionals and researchers working in this area. The study shows research was mainly focused in automation, culture, continuous delivery, fast feedback of DevOps. There is need of further research in many areas of DevOps (for instance: measurement, development of metrics of different stages to assess its performance, culture, practices toward ensuring quality assurance, and quality factors such as usability, efficiency, software maintainability and portability). (C) 2020 The Author(s). Published by Elsevier Inc.
