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Subject: systematic mapping

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    Conference Object
    Citation - Scopus: 2
    Systematic Mapping on Quality in Web Application Testing
    (Institute of Electrical and Electronics Engineers Inc., 2019) Akbulut,S.; Gebreyesus,Y.T.; Mishra,A.; Yazici,A.
    Similar to all other fields of study, assuring the quality of web applications is very important. With the aim of increasing web applications quality in testing, our task in this paper is to reflect on the results of the literature searches made in this area. The literature survey carried out in this study searches for studies in the area of quality in application testing and retrieves 1972 papers, published within the timeframe of 2006 and 2016. The publications are systematically identified, analyzed, and classified and an overview of the trends in this specialized field is presented. Systematic mapping is applied to review and structure the body of knowledge related to quality in web application testing. To conduct our study, we selected a set of 27 papers published in the area of quality in web application testing between 2006 and 2016. The results of this work can help other researchers to obtain an overview of the existing web application testing quality trends and approaches as well as to identify areas in the field that require more attention from research point of view. © 2019 IEEE.
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    Article
    Citation - WoS: 29
    Citation - Scopus: 43
    Software Product Quality Metrics: a Systematic Mapping Study
    (Ieee-inst Electrical Electronics Engineers inc, 2021) Colakoglu, Fatima Nur; Yazici, Ali; Mishra, Alok
    In 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.
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    Article
    Citation - Scopus: 6
    Exploring the Landscape of E-Government Maturity Models: Insights From Systematic Mapping Study and Comparative Analysis
    (Association for Computing Machinery, 2024) Okan,A.A.
    e-Government Maturity Models are essential tools for governments to assess and improve their e-government capabilities, performance, and impact. This article offers a pioneering systematic mapping study and comparative analysis of e-Government Maturity Models proposed between 2010 and 2022, marking a significant stride in the realm of e-government research. The review focuses on these recent models and compares their approaches, frameworks, and dimensions. Previous comparison research studies conducted before 2010 are also reviewed to provide an inclusive context for understanding the evolution and advancement of e-government maturity models. The study is the first to systematically map and compare e-Government Maturity Models proposed in recent years, also comparing with the previous decade.Employing a mixed-methods approach, this article meticulously dissects and contrasts various models, shedding light on the evolution, strengths, and weaknesses of e-government maturity frameworks over more than a decade. The research contributes to the literature by revealing underlying discrepancies in current models and proposing a synthesized perspective that integrates technological advancements and administrative strategies, providing insights into opportunities for future research and practice. The findings of the study can be used to develop a new generation of e-government maturity models that are more comprehensive and relevant to the current needs of governments. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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    Article
    Citation - WoS: 12
    Citation - Scopus: 13
    Techniques for Calculating Software Product Metrics Threshold Values: a Systematic Mapping Study
    (Mdpi, 2021) Mishra, Alok; Shatnawi, Raed; Catal, Cagatay; Akbulut, Akhan
    Several aspects of software product quality can be assessed and measured using product metrics. Without software metric threshold values, it is difficult to evaluate different aspects of quality. To this end, the interest in research studies that focus on identifying and deriving threshold values is growing, given the advantage of applying software metric threshold values to evaluate various software projects during their software development life cycle phases. The aim of this paper is to systematically investigate research on software metric threshold calculation techniques. In this study, electronic databases were systematically searched for relevant papers; 45 publications were selected based on inclusion/exclusion criteria, and research questions were answered. The results demonstrate the following important characteristics of studies: (a) both empirical and theoretical studies were conducted, a majority of which depends on empirical analysis; (b) the majority of papers apply statistical techniques to derive object-oriented metrics threshold values; (c) Chidamber and Kemerer (CK) metrics were studied in most of the papers, and are widely used to assess the quality of software systems; and (d) there is a considerable number of studies that have not validated metric threshold values in terms of quality attributes. From both the academic and practitioner points of view, the results of this review present a catalog and body of knowledge on metric threshold calculation techniques. The results set new research directions, such as conducting mixed studies on statistical and quality-related studies, studying an extensive number of metrics and studying interactions among metrics, studying more quality attributes, and considering multivariate threshold derivation.